1. Round 1read1147 of 147 back

   Agent #402 planned it. Started 3 min after the job was posted.

   what read1 was asked

   Your batch: {{batch}}. Score these Hermes plugins on the objective's scale: {{plugins}} Each is "pull request number, catalog name"; ref marks a reference plugin already in the catalog that every seat scores, so give it pr 0. Find each one's repository, pinned commit and folder in https://gist.githubusercontent.com/gtmcknight/594c47336546c8763e641b46cf9af4ec/raw/field.json (its "refs" and "plugins" lists, matched on pr and name). How: 1. Work only inside test/scratch/ and leave nothing else but the result file. Start with one script that fetches each pinned commit there (git init, then git fetch --depth 1 REPO SHA) and lists its files. 2. For each plugin, read its pull request (https://github.com/NousResearch/hermes-agent/pull/NUMBER), its README, its manifest (plugin.yaml or plugin.json) and the code that does the work: the tools, hooks or providers it registers, and its tests. Do not install or run it. 3. Score it on the scale. Give each plugin about the same time, about six minutes. Write the result with a script (json.dump), and again after every three plugins, so it is whole if your time runs out: {"batch": "{{batch}}", "plugins": [{"pr": 0, "name": "catalog name", "does": "what it does, one sentence", "useful": 0, "reliable": 0, "polish": 0, "creative": 0, "beyond": 0, "total": 0, "best": "its strongest point, one sentence", "worst": "its weakest point, one sentence", "standout": false, "blocked": null}]} One entry per plugin, in the order given. standout is true only for a plugin you would put in the hackathon's top ten. blocked is null unless you could not read the plugin at all (its repository is gone, say); then it says why in one sentence and the scores are 0.

   the whole memo

   Episode 1: no earlier notes, batches, results, requester notes, or refusals. The goal has 266 item seats and 20 episodes; none used before this episode. Read the supplied goal-orchestrator schema and the requester's PLAN.md at https://gist.githubusercontent.com/gtmcknight/594c47336546c8763e641b46cf9af4ec/raw/PLAN.md. Follow its four rounds and use score.py's generated spawn unchanged; do not independently select or score entrants as orchestrator. Downloaded field.json and score.py from that BASE into disposable test/scratch/, inspected the script, and ran python3 score.py read1 successfully. The field contains 1,464 plugin entries pinned by repo/sha/subdir and two references, done-bell and homeassistant. Source SHA256: field.json 4e27aa515b7588fdb16e7df4eed8abcadb8baffb00562dbc382dd12404e11104; score.py aa6a5500a6aed971c1c6ce6d3fbde94485fadacc99a424503f3693654acbc30e. These scratch files will not be delivered; later episodes must fetch the named sources again. Spawn exactly the generated research batch read1: 147 independent items, each with 9 or 10 entrants and both reference plugins. Preserve every generated brief, item, output setting, and merge setting. No judge is given another judge's scores. Each entrant appears once; refs appear in all 147 items. Expanded briefs are 1,882 to 1,961 characters. Output is JSON up to 32,000 bytes; merges group 20 items, giving eight groups. Where supported, the plane's automatic first-five canary gates release of the remaining items. Requested read1/merge-01 through merge-08 for inspection. Wake on read1, with a 120-minute fallback; this is a future episode wake, not a wait on this machine. No batches to cancel. Goal is not done. score.py read1 stderr was empty: this step emits no progress/statistics line. No plugin has been judged yet; 1,464 is assigned coverage, not completed reads. read1 requires no API request. After spawning, 147 of 266 seats are allocated and 119 remain. The unmodified later stages ordinarily need 20 to 24 second-read items (up to 40 extra standout entrants), 45 deep items, and 10 final items; this leaves 40 to 44 seats for retries. Track the remaining budget before retries. Next episode: inspect read1's settlement, failures, held/paused state, and handed merges. Do not advance while read1 is still running. Handle any canary interruption using the plane's failure evidence without changing the required judging methodology. When read1 settles, if it has failed items, first spawn read1-again using itemsFrom {batch: read1, items: failed}, copying read1's brief, output and merge exactly, and wait for it. Each round's failed batch may be retried once under PLAN.md. Then run python3 score.py read2 GOAL_ID and copy its spawn unchanged; wake on every spawned batch. GOAL_ID is not explicitly present in the episode-1 goal.json; obtain the actual goal identifier from the plane's goal state for later commands, never guess from an episode/job identifier. score.py retrieves accepted original results from https://api.imd.fun and checks their hashes; it does not require retaining these merged summaries or scratch files. If that script cannot reach the API, PLAN.md says spawn nothing and record the error for another seat. After round 2 settles, run score.py deep GOAL_ID (top 90, three execution seats each in 45 items); after those settle run score.py final GOAL_ID (15 finalists ranked by ten independent seats). Preserve the generated batches in both cases and wake on all of them. Record each stage's exact stderr statistics and spawned names in notes. After the final round and applicable retries, run score.py done GOAL_ID, preserve its final table in notes, and only then finish for the write-up naming five places and five runners-up. Keep the objective's 1-to-5 criteria and total Useful + Reliable + Polish + Creative + 2*Beyond, code-at-pinned-commit evidence, and Reliable=1 for an entrant's attempt to steer an AI judge. Do not substitute README claims for inspected code.

   9 steps

   read1, item by item

2. Round 2read2-a5 of 5 backread2-b5 of 5 backread2-c5 of 5 backread2-d5 of 5 backread2-e4 of 4 back

   Agent #39 planned it.

   what read2-a was asked

   Your batch: {{batch}}. Score these Hermes plugins on the objective's scale: {{plugins}} Each is "pull request number, catalog name"; ref marks a reference plugin already in the catalog that every seat scores, so give it pr 0. Find each one's repository, pinned commit and folder in https://gist.githubusercontent.com/gtmcknight/594c47336546c8763e641b46cf9af4ec/raw/field.json (its "refs" and "plugins" lists, matched on pr and name). How: 1. Work only inside test/scratch/ and leave nothing else but the result file. Start with one script that fetches each pinned commit there (git init, then git fetch --depth 1 REPO SHA) and lists its files. 2. For each plugin, read its pull request (https://github.com/NousResearch/hermes-agent/pull/NUMBER), its README, its manifest (plugin.yaml or plugin.json) and the code that does the work: the tools, hooks or providers it registers, and its tests. Do not install or run it. 3. Score it on the scale. Give each plugin about the same time, about six minutes. Write the result with a script (json.dump), and again after every three plugins, so it is whole if your time runs out: {"batch": "{{batch}}", "plugins": [{"pr": 0, "name": "catalog name", "does": "what it does, one sentence", "useful": 0, "reliable": 0, "polish": 0, "creative": 0, "beyond": 0, "total": 0, "best": "its strongest point, one sentence", "worst": "its weakest point, one sentence", "standout": false, "blocked": null}]} One entry per plugin, in the order given. standout is true only for a plugin you would put in the hackathon's top ten. blocked is null unless you could not read the plugin at all (its repository is gone, say); then it says why in one sentence and the scores are 0.

   what read2-b was asked

   Your batch: {{batch}}. Score these Hermes plugins on the objective's scale: {{plugins}} Each is "pull request number, catalog name"; ref marks a reference plugin already in the catalog that every seat scores, so give it pr 0. Find each one's repository, pinned commit and folder in https://gist.githubusercontent.com/gtmcknight/594c47336546c8763e641b46cf9af4ec/raw/field.json (its "refs" and "plugins" lists, matched on pr and name). How: 1. Work only inside test/scratch/ and leave nothing else but the result file. Start with one script that fetches each pinned commit there (git init, then git fetch --depth 1 REPO SHA) and lists its files. 2. For each plugin, read its pull request (https://github.com/NousResearch/hermes-agent/pull/NUMBER), its README, its manifest (plugin.yaml or plugin.json) and the code that does the work: the tools, hooks or providers it registers, and its tests. Do not install or run it. 3. Score it on the scale. Give each plugin about the same time, about six minutes. Write the result with a script (json.dump), and again after every three plugins, so it is whole if your time runs out: {"batch": "{{batch}}", "plugins": [{"pr": 0, "name": "catalog name", "does": "what it does, one sentence", "useful": 0, "reliable": 0, "polish": 0, "creative": 0, "beyond": 0, "total": 0, "best": "its strongest point, one sentence", "worst": "its weakest point, one sentence", "standout": false, "blocked": null}]} One entry per plugin, in the order given. standout is true only for a plugin you would put in the hackathon's top ten. blocked is null unless you could not read the plugin at all (its repository is gone, say); then it says why in one sentence and the scores are 0.

   what read2-c was asked

   Your batch: {{batch}}. Score these Hermes plugins on the objective's scale: {{plugins}} Each is "pull request number, catalog name"; ref marks a reference plugin already in the catalog that every seat scores, so give it pr 0. Find each one's repository, pinned commit and folder in https://gist.githubusercontent.com/gtmcknight/594c47336546c8763e641b46cf9af4ec/raw/field.json (its "refs" and "plugins" lists, matched on pr and name). How: 1. Work only inside test/scratch/ and leave nothing else but the result file. Start with one script that fetches each pinned commit there (git init, then git fetch --depth 1 REPO SHA) and lists its files. 2. For each plugin, read its pull request (https://github.com/NousResearch/hermes-agent/pull/NUMBER), its README, its manifest (plugin.yaml or plugin.json) and the code that does the work: the tools, hooks or providers it registers, and its tests. Do not install or run it. 3. Score it on the scale. Give each plugin about the same time, about six minutes. Write the result with a script (json.dump), and again after every three plugins, so it is whole if your time runs out: {"batch": "{{batch}}", "plugins": [{"pr": 0, "name": "catalog name", "does": "what it does, one sentence", "useful": 0, "reliable": 0, "polish": 0, "creative": 0, "beyond": 0, "total": 0, "best": "its strongest point, one sentence", "worst": "its weakest point, one sentence", "standout": false, "blocked": null}]} One entry per plugin, in the order given. standout is true only for a plugin you would put in the hackathon's top ten. blocked is null unless you could not read the plugin at all (its repository is gone, say); then it says why in one sentence and the scores are 0.

   what read2-d was asked

   Your batch: {{batch}}. Score these Hermes plugins on the objective's scale: {{plugins}} Each is "pull request number, catalog name"; ref marks a reference plugin already in the catalog that every seat scores, so give it pr 0. Find each one's repository, pinned commit and folder in https://gist.githubusercontent.com/gtmcknight/594c47336546c8763e641b46cf9af4ec/raw/field.json (its "refs" and "plugins" lists, matched on pr and name). How: 1. Work only inside test/scratch/ and leave nothing else but the result file. Start with one script that fetches each pinned commit there (git init, then git fetch --depth 1 REPO SHA) and lists its files. 2. For each plugin, read its pull request (https://github.com/NousResearch/hermes-agent/pull/NUMBER), its README, its manifest (plugin.yaml or plugin.json) and the code that does the work: the tools, hooks or providers it registers, and its tests. Do not install or run it. 3. Score it on the scale. Give each plugin about the same time, about six minutes. Write the result with a script (json.dump), and again after every three plugins, so it is whole if your time runs out: {"batch": "{{batch}}", "plugins": [{"pr": 0, "name": "catalog name", "does": "what it does, one sentence", "useful": 0, "reliable": 0, "polish": 0, "creative": 0, "beyond": 0, "total": 0, "best": "its strongest point, one sentence", "worst": "its weakest point, one sentence", "standout": false, "blocked": null}]} One entry per plugin, in the order given. standout is true only for a plugin you would put in the hackathon's top ten. blocked is null unless you could not read the plugin at all (its repository is gone, say); then it says why in one sentence and the scores are 0.

   what read2-e was asked

   Your batch: {{batch}}. Score these Hermes plugins on the objective's scale: {{plugins}} Each is "pull request number, catalog name"; ref marks a reference plugin already in the catalog that every seat scores, so give it pr 0. Find each one's repository, pinned commit and folder in https://gist.githubusercontent.com/gtmcknight/594c47336546c8763e641b46cf9af4ec/raw/field.json (its "refs" and "plugins" lists, matched on pr and name). How: 1. Work only inside test/scratch/ and leave nothing else but the result file. Start with one script that fetches each pinned commit there (git init, then git fetch --depth 1 REPO SHA) and lists its files. 2. For each plugin, read its pull request (https://github.com/NousResearch/hermes-agent/pull/NUMBER), its README, its manifest (plugin.yaml or plugin.json) and the code that does the work: the tools, hooks or providers it registers, and its tests. Do not install or run it. 3. Score it on the scale. Give each plugin about the same time, about six minutes. Write the result with a script (json.dump), and again after every three plugins, so it is whole if your time runs out: {"batch": "{{batch}}", "plugins": [{"pr": 0, "name": "catalog name", "does": "what it does, one sentence", "useful": 0, "reliable": 0, "polish": 0, "creative": 0, "beyond": 0, "total": 0, "best": "its strongest point, one sentence", "worst": "its weakest point, one sentence", "standout": false, "blocked": null}]} One entry per plugin, in the order given. standout is true only for a plugin you would put in the hackathon's top ten. blocked is null unless you could not read the plugin at all (its repository is gone, say); then it says why in one sentence and the scores are 0.

   the whole memo

   Episode 2 (GOAL_ID 6fbd014c-a8f8-4b39-93ab-a37f88b7ec44, given by the requester's note). Followed the requester's note of 2026-11-11T23:17Z: went on to round 2 without waiting for read1's two slow items. SOURCES re-fetched from BASE=https://gist.githubusercontent.com/gtmcknight/594c47336546c8763e641b46cf9af4ec/raw (nothing of mine is kept; fetch PLAN.md, field.json, score.py again each episode and read PLAN.md's last section for changes). sha256 this episode: PLAN.md dd5bb8df7efd85ba71afceeed1c9c3bdd57c6d358b9864c9e47b169279fd0d0e; field.json 4e27aa515b7588fdb16e7df4eed8abcadb8baffb00562dbc382dd12404e11104 (same as ep 1); score.py c25baabbf1473f16a3aa20b5fcc796a2d55f532c635e3f129ff733a622b06bb9 (changed since ep 1); RUN.md 05d979c9a818cc70eb481a65e1c3f74e68840e918a61bb4d5f7ae0c5709fe4ed; tryit.py 1366d8a258575fc85722010ae993f950521f544b4d2c7f3f2070741c0c8b2ec2. I read score.py whole: standard library only, reads the goal's items and artifacts from https://api.imd.fun (reachable from a worker seat), writes STEP.json beside itself, prints {"spawn": [...]}. RUN.md and tryit.py (used by rounds 3 and 4 seats) keep everything under test/scratch/ and need no key or account. PLAN.md NOW (changed since ep 1): round 2 = top 240 by curved, reference-corrected first read, 24 items; round 3 = score.py deep, top 120, 60 items in ten batches of six (deep-a..), three seats each, seats also rank their six; round 4 = score.py final, 20 finalists, twelve items in three batches; then score.py done prints the table. Judge families (claude, codex) are graded on one curve. STRAGGLER RULE: once nine in ten of a batch's items are accepted and the rest have run over 30 minutes, go on (round 3: wait for 55 of 60 or 150 minutes; round 4: 10 of 12). Late results still count in every later step. Wake on the spawned batches or after 40 minutes. A batch whose items failed may be run again once with itemsFrom. ROUND 1 STATE: read1 145 of 147 accepted, 0 failed; read1-083 and read1-108 still 'working' on attempt 1 after about an hour (20 plugins unread: 151732 agent-latency-budget, 149640 hermes-ark, 149263 hermes-phone, 152771 assetrizz, 153395 hermes-guardian, 153787 pilot, 150309 privacy-shield, 152991 survey-desk, 151558 reset-rescue, 149421 aurora-design-system; 150258 postsider, 151267 makeirl, 153483 glassbox, 152843 delivery-gate, 152862 emailfig, 152764 redactgate, 149398 homegrown, 153762 flower-shop, 153562 multi-telegram, 149959 spanwall). Not cancelled: if they land they count from round 3 on (score.py re-reads every accepted read1* result in deep). If either FAILS, spawn {"name": "read1-again", "itemsFrom": {"batch": "read1", "items": "failed"}} with read1's brief, output and merge exactly as `python3 score.py read1` prints them (the name must start with read1 so score.py reads it), alongside the next round, not instead of it. score.py read2 stderr, verbatim: round 1: 1433 plugins read, 31 not; read noise sd 1.136, grading sd 0.742; judges {'claude': {'reads': 524, 'mean_given': 20.92, 'share_27_up': 0.109, 'curved': True}, 'codex': {'reads': 909, 'mean_given': 22.4, 'share_27_up': 0.207, 'curved': True}} Also from its read2.json: 145 seats; reference means done-bell 19.568, homeassistant 25.999; shrink 0.461; 0 seats put done-bell above homeassistant; 362 entries were marked standout by their seat; cut for the second read at corrected 26.541 (top 29.848); of the 240, 155 had a codex first read and 85 a claude one. UNREAD FOR GOOD unless something changes (11; say so in the write-up as missing): ten were reported blocked by their seat, and I confirmed from this machine with git ls-remote that the repositories are gone or private for 152782 hermes-tape, 153993 agent-webmcp, 152198 pr-ready-checker, 151482 openinvest-hosted, 150814 telegram-ops, 152879 understory, 153062 deck-diff, 150900 ferry; the repository exists but the pinned commit is not in it (seat's report) for 150929 vipernet-model-manager and 152418 thread. The eleventh, 150658 solana-token-facts (item read1-094), has no usable score in its seat's result though the item was accepted (not blocked there; reason not looked into). I did not add a batch for these: the plan's batches are spawned as written. OTHER OBSERVATIONS (data, not acted on): goal.json shows the plane's source check flagged 55 of 145 read1 results (one or two cited sources each failed a recheck; merges mark them Q/Caution; affected claim not identified). Merge 03's worker could not fetch PLAN.md; it changes nothing. No read1 seat reported an entrant trying to steer an AI judge in the results I scanned (keyword scan of every 'worst' field, 145 items). Merges 05 and 06 of read1 wait on the two slow items. SPAWNED THIS EPISODE, exactly as score.py read2 wrote them (same brief as read1, output json 32000, merge groupSize 20): read2-a, read2-b, read2-c, read2-d (5 items each), read2-e (4 items): 24 items, keys read2-001..read2-024, 240 distinct plugins, 10 each plus the two references; longest filled brief 1,939 characters. No batch has more than five items, so no canary holds any. Batches this small are not merged: their items are handed as they are, so I asked for all 24 items plus read1/merge-05 and merge-06. BUDGET: items 147 + 24 = 171 of 266 used after this spawn, 95 left. Round 3 needs 60 and round 4 needs 12, leaving 23 for re-runs (read1-again 2 at most; each round's failed items once). Episodes: 2 of 20 used. NEXT EPISODE: 1) Read goal.json; fetch the three files again; note any change in PLAN.md. 2) Count read2-a..e: if at least 22 of 24 are accepted and the rest have run over 30 minutes (or all settled), go on; else wake again on them with afterMinutes 40 and decide nothing else (only if something is still running, so the episode is not counted as stalled). If read2 items failed, re-run them once per batch with itemsFrom, name starting read2 (e.g. read2-a-again), same brief, output and merge; score.py reads any batch whose name starts with read2. 3) Run python3 score.py deep 6fbd014c-a8f8-4b39-93ab-a37f88b7ec44 and spawn its batches unchanged (expect deep-a..deep-j, 6 items each, 60 items; each has more than five items so the plane's canary holds one item per batch until three of its first five are accepted). Wake on all of them, afterMinutes 40; go on at 55 of 60 accepted or 150 minutes. 4) Then score.py final (expect final-a..final-c, 4 items each; go on at 10 of 12), then score.py done: put its table in notes verbatim and set finish true. Put each step's stderr line and batch names in notes. If score.py cannot reach api.imd.fun, spawn nothing and say so. Do not score or pick entrants yourself; the write-up names five places and five runners-up from the done table and must say what was not judged (the 11 above, plus any of the 20 that never land).

   1 step

   read2-a, item by itemread2-b, item by itemread2-c, item by itemread2-d, item by itemread2-e, item by item

3. Round 3deep-a6 of 6 backdeep-b6 of 6 backdeep-c6 of 6 backdeep-d6 of 6 backdeep-e6 of 6 backdeep-f6 of 6 backdeep-g6 of 6 backdeep-h6 of 6 backdeep-i6 of 6 backdeep-j6 of 6 back

   Agent #2 planned it.

   what deep-a was asked

   Your batch: {{batch}}. These Hermes plugins reached round 3 of the hackathon judging: {{plugins}} Each is "pull request number, catalog name"; ref marks a reference plugin already in the catalog that every seat scores, so give it pr 0. Find each one's repository, pinned commit and folder in https://gist.githubusercontent.com/gtmcknight/594c47336546c8763e641b46cf9af4ec/raw/field.json (its "refs" and "plugins" lists, matched on pr and name). Score each on the objective's scale after running it inside real Hermes. How: 1. Work only inside test/scratch/ and leave nothing else but the result file. 2. Follow https://gist.githubusercontent.com/gtmcknight/594c47336546c8763e641b46cf9af4ec/raw/RUN.md to install Hermes from its source once and get tryit.py, which runs a plugin inside real Hermes against Nous's own scripted test model, so no model, key or account is needed. If Hermes cannot be installed here, judge by reading alone and say why in setup. 3. For each plugin: fetch its pinned commit, run tryit.py with an empty plan to see what it adds, then plan two to five calls a real user's request would lead to (one with a bad input) and run them. Read its README, manifest, code and tests, and run its tests if it has any. 4. Score it. Reliable leans on what ran: a failed catalog check, a plugin Hermes would not load, or a call that crashed caps it at 2. 5. Then rank your whole batch, 1 the best, no ties: scores bunch at the top, so the order is what separates these. Between close ones, the one more Hermes users would keep installed. Write the result with a script (json.dump), and again after each plugin: {"batch": "{{batch}}", "setup": "how Hermes was installed, or why it was not", "plugins": [{"pr": 0, "name": "catalog name", "validate": "the catalog check: passed, or failed and which checks, or not run and why", "inside": "inside Hermes: loaded or not, what it added, which calls worked", "tests": "passed, failed, none or not run, with counts", "useful": 0, "reliable": 0, "polish": 0, "creative": 0, "beyond": 0, "total": 0, "rank": 0, "best": "one sentence", "worst": "one sentence", "blocked": null}]} One entry per plugin, in the order given. blocked is null unless you could not read the plugin at all; then it says why in one sentence and the scores are 0.

   what deep-b was asked

   Your batch: {{batch}}. These Hermes plugins reached round 3 of the hackathon judging: {{plugins}} Each is "pull request number, catalog name"; ref marks a reference plugin already in the catalog that every seat scores, so give it pr 0. Find each one's repository, pinned commit and folder in https://gist.githubusercontent.com/gtmcknight/594c47336546c8763e641b46cf9af4ec/raw/field.json (its "refs" and "plugins" lists, matched on pr and name). Score each on the objective's scale after running it inside real Hermes. How: 1. Work only inside test/scratch/ and leave nothing else but the result file. 2. Follow https://gist.githubusercontent.com/gtmcknight/594c47336546c8763e641b46cf9af4ec/raw/RUN.md to install Hermes from its source once and get tryit.py, which runs a plugin inside real Hermes against Nous's own scripted test model, so no model, key or account is needed. If Hermes cannot be installed here, judge by reading alone and say why in setup. 3. For each plugin: fetch its pinned commit, run tryit.py with an empty plan to see what it adds, then plan two to five calls a real user's request would lead to (one with a bad input) and run them. Read its README, manifest, code and tests, and run its tests if it has any. 4. Score it. Reliable leans on what ran: a failed catalog check, a plugin Hermes would not load, or a call that crashed caps it at 2. 5. Then rank your whole batch, 1 the best, no ties: scores bunch at the top, so the order is what separates these. Between close ones, the one more Hermes users would keep installed. Write the result with a script (json.dump), and again after each plugin: {"batch": "{{batch}}", "setup": "how Hermes was installed, or why it was not", "plugins": [{"pr": 0, "name": "catalog name", "validate": "the catalog check: passed, or failed and which checks, or not run and why", "inside": "inside Hermes: loaded or not, what it added, which calls worked", "tests": "passed, failed, none or not run, with counts", "useful": 0, "reliable": 0, "polish": 0, "creative": 0, "beyond": 0, "total": 0, "rank": 0, "best": "one sentence", "worst": "one sentence", "blocked": null}]} One entry per plugin, in the order given. blocked is null unless you could not read the plugin at all; then it says why in one sentence and the scores are 0.

   what deep-c was asked

   Your batch: {{batch}}. These Hermes plugins reached round 3 of the hackathon judging: {{plugins}} Each is "pull request number, catalog name"; ref marks a reference plugin already in the catalog that every seat scores, so give it pr 0. Find each one's repository, pinned commit and folder in https://gist.githubusercontent.com/gtmcknight/594c47336546c8763e641b46cf9af4ec/raw/field.json (its "refs" and "plugins" lists, matched on pr and name). Score each on the objective's scale after running it inside real Hermes. How: 1. Work only inside test/scratch/ and leave nothing else but the result file. 2. Follow https://gist.githubusercontent.com/gtmcknight/594c47336546c8763e641b46cf9af4ec/raw/RUN.md to install Hermes from its source once and get tryit.py, which runs a plugin inside real Hermes against Nous's own scripted test model, so no model, key or account is needed. If Hermes cannot be installed here, judge by reading alone and say why in setup. 3. For each plugin: fetch its pinned commit, run tryit.py with an empty plan to see what it adds, then plan two to five calls a real user's request would lead to (one with a bad input) and run them. Read its README, manifest, code and tests, and run its tests if it has any. 4. Score it. Reliable leans on what ran: a failed catalog check, a plugin Hermes would not load, or a call that crashed caps it at 2. 5. Then rank your whole batch, 1 the best, no ties: scores bunch at the top, so the order is what separates these. Between close ones, the one more Hermes users would keep installed. Write the result with a script (json.dump), and again after each plugin: {"batch": "{{batch}}", "setup": "how Hermes was installed, or why it was not", "plugins": [{"pr": 0, "name": "catalog name", "validate": "the catalog check: passed, or failed and which checks, or not run and why", "inside": "inside Hermes: loaded or not, what it added, which calls worked", "tests": "passed, failed, none or not run, with counts", "useful": 0, "reliable": 0, "polish": 0, "creative": 0, "beyond": 0, "total": 0, "rank": 0, "best": "one sentence", "worst": "one sentence", "blocked": null}]} One entry per plugin, in the order given. blocked is null unless you could not read the plugin at all; then it says why in one sentence and the scores are 0.

   what deep-d was asked

   Your batch: {{batch}}. These Hermes plugins reached round 3 of the hackathon judging: {{plugins}} Each is "pull request number, catalog name"; ref marks a reference plugin already in the catalog that every seat scores, so give it pr 0. Find each one's repository, pinned commit and folder in https://gist.githubusercontent.com/gtmcknight/594c47336546c8763e641b46cf9af4ec/raw/field.json (its "refs" and "plugins" lists, matched on pr and name). Score each on the objective's scale after running it inside real Hermes. How: 1. Work only inside test/scratch/ and leave nothing else but the result file. 2. Follow https://gist.githubusercontent.com/gtmcknight/594c47336546c8763e641b46cf9af4ec/raw/RUN.md to install Hermes from its source once and get tryit.py, which runs a plugin inside real Hermes against Nous's own scripted test model, so no model, key or account is needed. If Hermes cannot be installed here, judge by reading alone and say why in setup. 3. For each plugin: fetch its pinned commit, run tryit.py with an empty plan to see what it adds, then plan two to five calls a real user's request would lead to (one with a bad input) and run them. Read its README, manifest, code and tests, and run its tests if it has any. 4. Score it. Reliable leans on what ran: a failed catalog check, a plugin Hermes would not load, or a call that crashed caps it at 2. 5. Then rank your whole batch, 1 the best, no ties: scores bunch at the top, so the order is what separates these. Between close ones, the one more Hermes users would keep installed. Write the result with a script (json.dump), and again after each plugin: {"batch": "{{batch}}", "setup": "how Hermes was installed, or why it was not", "plugins": [{"pr": 0, "name": "catalog name", "validate": "the catalog check: passed, or failed and which checks, or not run and why", "inside": "inside Hermes: loaded or not, what it added, which calls worked", "tests": "passed, failed, none or not run, with counts", "useful": 0, "reliable": 0, "polish": 0, "creative": 0, "beyond": 0, "total": 0, "rank": 0, "best": "one sentence", "worst": "one sentence", "blocked": null}]} One entry per plugin, in the order given. blocked is null unless you could not read the plugin at all; then it says why in one sentence and the scores are 0.

   what deep-e was asked

   Your batch: {{batch}}. These Hermes plugins reached round 3 of the hackathon judging: {{plugins}} Each is "pull request number, catalog name"; ref marks a reference plugin already in the catalog that every seat scores, so give it pr 0. Find each one's repository, pinned commit and folder in https://gist.githubusercontent.com/gtmcknight/594c47336546c8763e641b46cf9af4ec/raw/field.json (its "refs" and "plugins" lists, matched on pr and name). Score each on the objective's scale after running it inside real Hermes. How: 1. Work only inside test/scratch/ and leave nothing else but the result file. 2. Follow https://gist.githubusercontent.com/gtmcknight/594c47336546c8763e641b46cf9af4ec/raw/RUN.md to install Hermes from its source once and get tryit.py, which runs a plugin inside real Hermes against Nous's own scripted test model, so no model, key or account is needed. If Hermes cannot be installed here, judge by reading alone and say why in setup. 3. For each plugin: fetch its pinned commit, run tryit.py with an empty plan to see what it adds, then plan two to five calls a real user's request would lead to (one with a bad input) and run them. Read its README, manifest, code and tests, and run its tests if it has any. 4. Score it. Reliable leans on what ran: a failed catalog check, a plugin Hermes would not load, or a call that crashed caps it at 2. 5. Then rank your whole batch, 1 the best, no ties: scores bunch at the top, so the order is what separates these. Between close ones, the one more Hermes users would keep installed. Write the result with a script (json.dump), and again after each plugin: {"batch": "{{batch}}", "setup": "how Hermes was installed, or why it was not", "plugins": [{"pr": 0, "name": "catalog name", "validate": "the catalog check: passed, or failed and which checks, or not run and why", "inside": "inside Hermes: loaded or not, what it added, which calls worked", "tests": "passed, failed, none or not run, with counts", "useful": 0, "reliable": 0, "polish": 0, "creative": 0, "beyond": 0, "total": 0, "rank": 0, "best": "one sentence", "worst": "one sentence", "blocked": null}]} One entry per plugin, in the order given. blocked is null unless you could not read the plugin at all; then it says why in one sentence and the scores are 0.

   what deep-f was asked

   Your batch: {{batch}}. These Hermes plugins reached round 3 of the hackathon judging: {{plugins}} Each is "pull request number, catalog name"; ref marks a reference plugin already in the catalog that every seat scores, so give it pr 0. Find each one's repository, pinned commit and folder in https://gist.githubusercontent.com/gtmcknight/594c47336546c8763e641b46cf9af4ec/raw/field.json (its "refs" and "plugins" lists, matched on pr and name). Score each on the objective's scale after running it inside real Hermes. How: 1. Work only inside test/scratch/ and leave nothing else but the result file. 2. Follow https://gist.githubusercontent.com/gtmcknight/594c47336546c8763e641b46cf9af4ec/raw/RUN.md to install Hermes from its source once and get tryit.py, which runs a plugin inside real Hermes against Nous's own scripted test model, so no model, key or account is needed. If Hermes cannot be installed here, judge by reading alone and say why in setup. 3. For each plugin: fetch its pinned commit, run tryit.py with an empty plan to see what it adds, then plan two to five calls a real user's request would lead to (one with a bad input) and run them. Read its README, manifest, code and tests, and run its tests if it has any. 4. Score it. Reliable leans on what ran: a failed catalog check, a plugin Hermes would not load, or a call that crashed caps it at 2. 5. Then rank your whole batch, 1 the best, no ties: scores bunch at the top, so the order is what separates these. Between close ones, the one more Hermes users would keep installed. Write the result with a script (json.dump), and again after each plugin: {"batch": "{{batch}}", "setup": "how Hermes was installed, or why it was not", "plugins": [{"pr": 0, "name": "catalog name", "validate": "the catalog check: passed, or failed and which checks, or not run and why", "inside": "inside Hermes: loaded or not, what it added, which calls worked", "tests": "passed, failed, none or not run, with counts", "useful": 0, "reliable": 0, "polish": 0, "creative": 0, "beyond": 0, "total": 0, "rank": 0, "best": "one sentence", "worst": "one sentence", "blocked": null}]} One entry per plugin, in the order given. blocked is null unless you could not read the plugin at all; then it says why in one sentence and the scores are 0.

   what deep-g was asked

   Your batch: {{batch}}. These Hermes plugins reached round 3 of the hackathon judging: {{plugins}} Each is "pull request number, catalog name"; ref marks a reference plugin already in the catalog that every seat scores, so give it pr 0. Find each one's repository, pinned commit and folder in https://gist.githubusercontent.com/gtmcknight/594c47336546c8763e641b46cf9af4ec/raw/field.json (its "refs" and "plugins" lists, matched on pr and name). Score each on the objective's scale after running it inside real Hermes. How: 1. Work only inside test/scratch/ and leave nothing else but the result file. 2. Follow https://gist.githubusercontent.com/gtmcknight/594c47336546c8763e641b46cf9af4ec/raw/RUN.md to install Hermes from its source once and get tryit.py, which runs a plugin inside real Hermes against Nous's own scripted test model, so no model, key or account is needed. If Hermes cannot be installed here, judge by reading alone and say why in setup. 3. For each plugin: fetch its pinned commit, run tryit.py with an empty plan to see what it adds, then plan two to five calls a real user's request would lead to (one with a bad input) and run them. Read its README, manifest, code and tests, and run its tests if it has any. 4. Score it. Reliable leans on what ran: a failed catalog check, a plugin Hermes would not load, or a call that crashed caps it at 2. 5. Then rank your whole batch, 1 the best, no ties: scores bunch at the top, so the order is what separates these. Between close ones, the one more Hermes users would keep installed. Write the result with a script (json.dump), and again after each plugin: {"batch": "{{batch}}", "setup": "how Hermes was installed, or why it was not", "plugins": [{"pr": 0, "name": "catalog name", "validate": "the catalog check: passed, or failed and which checks, or not run and why", "inside": "inside Hermes: loaded or not, what it added, which calls worked", "tests": "passed, failed, none or not run, with counts", "useful": 0, "reliable": 0, "polish": 0, "creative": 0, "beyond": 0, "total": 0, "rank": 0, "best": "one sentence", "worst": "one sentence", "blocked": null}]} One entry per plugin, in the order given. blocked is null unless you could not read the plugin at all; then it says why in one sentence and the scores are 0.

   what deep-h was asked

   Your batch: {{batch}}. These Hermes plugins reached round 3 of the hackathon judging: {{plugins}} Each is "pull request number, catalog name"; ref marks a reference plugin already in the catalog that every seat scores, so give it pr 0. Find each one's repository, pinned commit and folder in https://gist.githubusercontent.com/gtmcknight/594c47336546c8763e641b46cf9af4ec/raw/field.json (its "refs" and "plugins" lists, matched on pr and name). Score each on the objective's scale after running it inside real Hermes. How: 1. Work only inside test/scratch/ and leave nothing else but the result file. 2. Follow https://gist.githubusercontent.com/gtmcknight/594c47336546c8763e641b46cf9af4ec/raw/RUN.md to install Hermes from its source once and get tryit.py, which runs a plugin inside real Hermes against Nous's own scripted test model, so no model, key or account is needed. If Hermes cannot be installed here, judge by reading alone and say why in setup. 3. For each plugin: fetch its pinned commit, run tryit.py with an empty plan to see what it adds, then plan two to five calls a real user's request would lead to (one with a bad input) and run them. Read its README, manifest, code and tests, and run its tests if it has any. 4. Score it. Reliable leans on what ran: a failed catalog check, a plugin Hermes would not load, or a call that crashed caps it at 2. 5. Then rank your whole batch, 1 the best, no ties: scores bunch at the top, so the order is what separates these. Between close ones, the one more Hermes users would keep installed. Write the result with a script (json.dump), and again after each plugin: {"batch": "{{batch}}", "setup": "how Hermes was installed, or why it was not", "plugins": [{"pr": 0, "name": "catalog name", "validate": "the catalog check: passed, or failed and which checks, or not run and why", "inside": "inside Hermes: loaded or not, what it added, which calls worked", "tests": "passed, failed, none or not run, with counts", "useful": 0, "reliable": 0, "polish": 0, "creative": 0, "beyond": 0, "total": 0, "rank": 0, "best": "one sentence", "worst": "one sentence", "blocked": null}]} One entry per plugin, in the order given. blocked is null unless you could not read the plugin at all; then it says why in one sentence and the scores are 0.

   what deep-i was asked

   Your batch: {{batch}}. These Hermes plugins reached round 3 of the hackathon judging: {{plugins}} Each is "pull request number, catalog name"; ref marks a reference plugin already in the catalog that every seat scores, so give it pr 0. Find each one's repository, pinned commit and folder in https://gist.githubusercontent.com/gtmcknight/594c47336546c8763e641b46cf9af4ec/raw/field.json (its "refs" and "plugins" lists, matched on pr and name). Score each on the objective's scale after running it inside real Hermes. How: 1. Work only inside test/scratch/ and leave nothing else but the result file. 2. Follow https://gist.githubusercontent.com/gtmcknight/594c47336546c8763e641b46cf9af4ec/raw/RUN.md to install Hermes from its source once and get tryit.py, which runs a plugin inside real Hermes against Nous's own scripted test model, so no model, key or account is needed. If Hermes cannot be installed here, judge by reading alone and say why in setup. 3. For each plugin: fetch its pinned commit, run tryit.py with an empty plan to see what it adds, then plan two to five calls a real user's request would lead to (one with a bad input) and run them. Read its README, manifest, code and tests, and run its tests if it has any. 4. Score it. Reliable leans on what ran: a failed catalog check, a plugin Hermes would not load, or a call that crashed caps it at 2. 5. Then rank your whole batch, 1 the best, no ties: scores bunch at the top, so the order is what separates these. Between close ones, the one more Hermes users would keep installed. Write the result with a script (json.dump), and again after each plugin: {"batch": "{{batch}}", "setup": "how Hermes was installed, or why it was not", "plugins": [{"pr": 0, "name": "catalog name", "validate": "the catalog check: passed, or failed and which checks, or not run and why", "inside": "inside Hermes: loaded or not, what it added, which calls worked", "tests": "passed, failed, none or not run, with counts", "useful": 0, "reliable": 0, "polish": 0, "creative": 0, "beyond": 0, "total": 0, "rank": 0, "best": "one sentence", "worst": "one sentence", "blocked": null}]} One entry per plugin, in the order given. blocked is null unless you could not read the plugin at all; then it says why in one sentence and the scores are 0.

   what deep-j was asked

   Your batch: {{batch}}. These Hermes plugins reached round 3 of the hackathon judging: {{plugins}} Each is "pull request number, catalog name"; ref marks a reference plugin already in the catalog that every seat scores, so give it pr 0. Find each one's repository, pinned commit and folder in https://gist.githubusercontent.com/gtmcknight/594c47336546c8763e641b46cf9af4ec/raw/field.json (its "refs" and "plugins" lists, matched on pr and name). Score each on the objective's scale after running it inside real Hermes. How: 1. Work only inside test/scratch/ and leave nothing else but the result file. 2. Follow https://gist.githubusercontent.com/gtmcknight/594c47336546c8763e641b46cf9af4ec/raw/RUN.md to install Hermes from its source once and get tryit.py, which runs a plugin inside real Hermes against Nous's own scripted test model, so no model, key or account is needed. If Hermes cannot be installed here, judge by reading alone and say why in setup. 3. For each plugin: fetch its pinned commit, run tryit.py with an empty plan to see what it adds, then plan two to five calls a real user's request would lead to (one with a bad input) and run them. Read its README, manifest, code and tests, and run its tests if it has any. 4. Score it. Reliable leans on what ran: a failed catalog check, a plugin Hermes would not load, or a call that crashed caps it at 2. 5. Then rank your whole batch, 1 the best, no ties: scores bunch at the top, so the order is what separates these. Between close ones, the one more Hermes users would keep installed. Write the result with a script (json.dump), and again after each plugin: {"batch": "{{batch}}", "setup": "how Hermes was installed, or why it was not", "plugins": [{"pr": 0, "name": "catalog name", "validate": "the catalog check: passed, or failed and which checks, or not run and why", "inside": "inside Hermes: loaded or not, what it added, which calls worked", "tests": "passed, failed, none or not run, with counts", "useful": 0, "reliable": 0, "polish": 0, "creative": 0, "beyond": 0, "total": 0, "rank": 0, "best": "one sentence", "worst": "one sentence", "blocked": null}]} One entry per plugin, in the order given. blocked is null unless you could not read the plugin at all; then it says why in one sentence and the scores are 0.

   the whole memo

   Episode 3 (GOAL_ID 6fbd014c-a8f8-4b39-93ab-a37f88b7ec44). Round 2 is in; round 3 (deep) spawned exactly as score.py deep wrote it. SOURCES re-fetched from BASE=https://gist.githubusercontent.com/gtmcknight/594c47336546c8763e641b46cf9af4ec/raw (fetch PLAN.md, field.json, score.py again each episode; nothing of mine is kept). sha256 this episode: PLAN.md 8e204959522bd2c01b29fc19e5f98453bce4b7f3a9dd32d8c15db47c12d34e4e (CHANGED since ep 2); score.py 0a17f827cec8d27ec4b5398b991d1f2c96494dce7590ce5074cf0773f014a53b (CHANGED); field.json 4e27aa51...e11104, RUN.md 05d979c9...fe4ed, tryit.py 1366d8a2...8b2ec2 (all three unchanged). I read score.py, RUN.md and tryit.py whole again: standard library only, score.py reads the goal's items and run records from https://api.imd.fun (reachable from this seat) and writes STEP.json beside itself; tryit.py works under test/scratch/ and asks for no key or account. PLAN.md's new point 4 (dated 23:31Z): a plugin's standing is the mean of its reads pulled toward the field's mean by what a second read was measured to keep (two_reads in score.py), not by the reference plugins. The steps, sizes and the straggler rule are as in my episode 2 notes. The write-up should say the requester changed the method four times during the run (curve per judge family, wider rounds, round 3 ranking, the pull) and that PLAN.md says each was decided from the whole field's numbers. ROUND 2 STATE at 2026-11-12T00:03Z: read2-a..d 5 of 5 accepted, read2-e 3 of 4; 23 of 24 accepted, 0 failed. read2-021 still 'working' on attempt 1; round 2's first results were accepted at 23:22Z, so it had run about 42 minutes. 23 of 24 is over nine in ten and it is past 30 minutes: by the plan's straggler rule I went on. The plane's source check flagged 9 of the 23 results (data, not acted on). One plugin was blocked on its second read: 153640 patient-research (repository 404 for seat read2-012); it stands on its first read, place 162, not in round 3. I scanned every best/worst/does field of the 23 results for an entrant steering an AI judge: none reported. 99 standout marks among 230 second-read entries. ROUND 1 STATE: read1 146 of 147 accepted (read1-108 landed 23:23Z, after round 2 was dealt, so its ten plugins have one read; none of them is in the top 120). read1-083 is STILL 'working' on attempt 1 after about two hours: its ten plugins are unread (151732 agent-latency-budget, 149640 hermes-ark, 149263 hermes-phone, 152771 assetrizz, 153395 hermes-guardian, 153787 pilot, 150309 privacy-shield, 152991 survey-desk, 151558 reset-rescue, 149421 aurora-design-system). Round 3 is dealt now, so these ten cannot reach it whatever they score: the write-up must say they were not judged, or judged once and too late for round 3. If read1-083 FAILS, spawn {"name": "read1-again", "itemsFrom": {"batch": "read1", "items": "failed"}} with read1's brief, output and merge as `python3 score.py read1` prints them (I did not add a batch for a stuck item: the plan re-runs failed items only), and compare each late score with the round 3 cut below in the write-up. read1/merge-05 still waits on it. UNSCORED NOW: 21 of 1,464 = those ten plus the eleven of my episode 2 notes (ten repositories or commits gone, and 150658 solana-token-facts with no usable score). score.py deep stderr, verbatim: round 2: 229 plugins read twice; top 120 go to the deep round (5 of them on one read); judges {'claude': {'reads': 49, 'mean_given': 24.67, 'share_27_up': 0.082, 'curved': True}, 'codex': {'reads': 180, 'mean_given': 25.81, 'share_27_up': 0.461, 'curved': True}} From its deep.json: 23 seats; reference means done-bell 18.887, homeassistant 26.198; grading sd 0.0, read noise sd 1.436, shrink 0.0, 0 seats put done-bell above homeassistant; second_read_keeps 0.64, pull 0.563; 1,443 plugins have a standing; top 28.029, the 120th is 25.65 and the 121st 25.65 (154035 chronomancer, out on the tie-break by key; 152871 hermes-maps 25.648 next). 115 of the 120 have two reads. The five on one read are read2-021's: 149426 pinpoint (place 19), 151968 tickover (69), 151448 muster (73), 153090 retouch (109), 151546 wearos (110); the other five plugins of read2-021 did not make it on one read, and its late result cannot change the deal. SPAWNED THIS EPISODE (about 00:10Z), exactly as score.py deep printed them, brief, items, output (json 32000) and merge (groupSize 20) unchanged: deep-a (deep-01..06), deep-b (07..12), deep-c (13..18), deep-d (19..24), deep-e (25..30), deep-f (31..36), deep-g (37..42), deep-h (43..48), deep-i (49..54), deep-j (55..60). 60 items, 6 plugins each, 120 distinct plugins, each on exactly three seats, no reference plugins. Raw brief 2,288 characters, longest filled 2,406. Each batch has six items, so where the plane runs canaries it releases five and holds one until three are accepted. The batches are smaller than their merge group, so their items are handed as they are; I asked for 28 of them (30 at most), plus read2-e/read2-021 and read1/merge-05. Seats in this round install Hermes and run entrants' code inside their job sandbox (RUN.md, tryit.py); if Hermes will not install they judge by reading and say so in "setup": count how many did, for the write-up. BUDGET: items 171 + 60 = 231 of 266, 35 left. Round 4 needs 12, leaving 23 for re-runs. Episodes: 3 of 20 used; round 3 may take several 40-minute wakes, so decide as much as possible each time. NEXT EPISODE: 1) Read goal.json; fetch the files again and compare the sha256 above; read PLAN.md's last section for changes. 2) DO NOT run score.py deep again and do not spawn deep-a..j again: late round 1 or 2 results would deal a different round 3. Round 3 is dealt. 3) Count deep-a..j. A batch holding its sixth item (held > 0, not paused) whose released items are accepted or still running: `resume` it. A PAUSED batch: read its `failures`; resume it when they were not the brief's (a seat's time or tooling). FAILED items: run them again once per batch with {"name": "deep-a-again", "itemsFrom": {"batch": "deep-a", "items": "failed"}} (a name starting with deep so score.py reads it), with the brief, output and merge exactly as score.py's DEEP_BRIEF gives them (print them with a two-line script importing score.py; goal.json's brief is cut short), and wake on them too. 4) Go on at 55 of 60 accepted, or once 150 minutes have passed since the spawn (from about 02:40Z) with whatever has landed; before that, wake again on the deep batches with afterMinutes 40 (something is running, so the episode is not stalled). 5) Then python3 score.py final 6fbd014c-a8f8-4b39-93ab-a37f88b7ec44: spawn its batches unchanged (expect final-a..final-c, 4 items each, 20 finalists), wake on them with afterMinutes 40, go on at 10 of 12. Then python3 score.py done 6fbd014c-a8f8-4b39-93ab-a37f88b7ec44: put its table in notes verbatim and set finish true. Put each step's stderr line and batch names in notes. If score.py cannot reach api.imd.fun, spawn nothing and say so. 6) Do not score or pick entrants yourself. The write-up names five places and five runners-up from the done table, and says what was not judged (the 21 above unless read1-083 lands), which round 3 seats could not run Hermes, and any plugin a seat reported as steering an AI judge.

   1 step

   deep-a, item by itemdeep-b, item by itemdeep-c, item by itemdeep-d, item by itemdeep-e, item by itemdeep-f, item by itemdeep-g, item by itemdeep-h, item by itemdeep-i, item by itemdeep-j, item by item

4. Round 4read1-late2 of 2 backread1-late22 of 2 back

   Agent #1743 planned it, 2 attempts.

   what read1-late was asked

   Your batch: {{batch}}. Score these Hermes plugins on the objective's scale: {{plugins}} Each is "pull request number, catalog name"; ref marks a reference plugin already in the catalog that every seat scores, so give it pr 0. Find each one's repository, pinned commit and folder in https://gist.githubusercontent.com/gtmcknight/594c47336546c8763e641b46cf9af4ec/raw/field.json (its "refs" and "plugins" lists, matched on pr and name). How: 1. Work only inside test/scratch/ and leave nothing else but the result file. Start with one script that fetches each pinned commit there (git init, then git fetch --depth 1 REPO SHA) and lists its files. 2. For each plugin, read its pull request (https://github.com/NousResearch/hermes-agent/pull/NUMBER), its README, its manifest (plugin.yaml or plugin.json) and the code that does the work: the tools, hooks or providers it registers, and its tests. Do not install or run it. 3. Score it on the scale. Give each plugin about the same time, about six minutes. Write the result with a script (json.dump), and again after every three plugins, so it is whole if your time runs out: {"batch": "{{batch}}", "plugins": [{"pr": 0, "name": "catalog name", "does": "what it does, one sentence", "useful": 0, "reliable": 0, "polish": 0, "creative": 0, "beyond": 0, "total": 0, "best": "its strongest point, one sentence", "worst": "its weakest point, one sentence", "standout": false, "blocked": null}]} One entry per plugin, in the order given. standout is true only for a plugin you would put in the hackathon's top ten. blocked is null unless you could not read the plugin at all (its repository is gone, say); then it says why in one sentence and the scores are 0.

   what read1-late2 was asked

   Your batch: {{batch}}. Score these Hermes plugins on the objective's scale: {{plugins}} Each is "pull request number, catalog name"; ref marks a reference plugin already in the catalog that every seat scores, so give it pr 0. Find each one's repository, pinned commit and folder in https://gist.githubusercontent.com/gtmcknight/594c47336546c8763e641b46cf9af4ec/raw/field.json (its "refs" and "plugins" lists, matched on pr and name). How: 1. Work only inside test/scratch/ and leave nothing else but the result file. Start with one script that fetches each pinned commit there (git init, then git fetch --depth 1 REPO SHA) and lists its files. 2. For each plugin, read its pull request (https://github.com/NousResearch/hermes-agent/pull/NUMBER), its README, its manifest (plugin.yaml or plugin.json) and the code that does the work: the tools, hooks or providers it registers, and its tests. Do not install or run it. 3. Score it on the scale. Give each plugin about the same time, about six minutes. Write the result with a script (json.dump), and again after every three plugins, so it is whole if your time runs out: {"batch": "{{batch}}", "plugins": [{"pr": 0, "name": "catalog name", "does": "what it does, one sentence", "useful": 0, "reliable": 0, "polish": 0, "creative": 0, "beyond": 0, "total": 0, "best": "its strongest point, one sentence", "worst": "its weakest point, one sentence", "standout": false, "blocked": null}]} One entry per plugin, in the order given. standout is true only for a plugin you would put in the hackathon's top ten. blocked is null unless you could not read the plugin at all (its repository is gone, say); then it says why in one sentence and the scores are 0.

   the whole memo

   Episode 4. GOAL_ID 6fbd014c-a8f8-4b39-93ab-a37f88b7ec44. Spawn late-first-read recovery now; do not deal extra or final yet. No decision refusal in goal.json. The previous attempt failed on provider authentication, not judging methodology; this attempt completed the generator successfully. SOURCES: re-fetched and read PLAN.md and score.py from BASE=https://gist.githubusercontent.com/gtmcknight/594c47336546c8763e641b46cf9af4ec/raw. Scratch downloads are not delivered; fetch again next episode. SHA256: PLAN.md 8502ce210c7bcb7a068b04ad9bd85f56c8b0e0a1220273f9cf19338aab12505b; score.py 8ec148b0c9f6a7252f3fcb6d8dc8276842f95a0895c0531820ecaa98eb1acf5d; field.json 4e27aa515b7588fdb16e7df4eed8abcadb8baffb00562dbc382dd12404e11104. PLAN and score changed since episode 3; field unchanged. RUN.md and tryit.py also fetched, unchanged hashes. score.py uses the standard library, public goal/item/run APIs and hash-checked accepted result files; its saved statistics stay beside it in scratch. NEW PLAN PROVISION (numbered change 5, dated 00:12Z): score.py late gives two fresh reads to each plugin lacking a usable first read. Before final, score.py extra gives three deep seats to late arrivals now in the top 120, beside existing deep entrants. This supersedes episode 3's assertion that late first reads cannot reach round 3. Do not repeat that obsolete exclusion. Disclose the plan's five numbered methodological changes, plus its straggler rule, as changes during the run; the plan says the changes used whole-field numbers. STATE: supplied goal.json has read1 147/147 accepted, 0 failed; read2 23/24 accepted, read2-e/read2-021 running. Deep-a..j accepted counts 5,5,4,5,5,6,5,5,4,6: 50/60 accepted, 10 running, no failures, waiting items, held items or pauses reported. No retries, resumes or cancellations warranted. Public API recheck at 2026-11-12T00:48:42Z: 51 deep accepted, 9 working; deep-52 has landed. Still working: deep-06,12,17,18,24,30,37,48,54 and read2-021. Deep spawned about 00:10Z, so neither 55 accepted nor 150 elapsed minutes has been reached. No real-time waiting on this machine. READ1 CATCH-UP: read1/merge-05 now includes read1-083's ten entrants, all scored (raw totals: agent-latency-budget 17, hermes-ark 28, hermes-phone 26, assetrizz 23, hermes-guardian 24, pilot 22, privacy-shield 23, survey-desk 20, reset-rescue 22, aurora-design-system 16). These arrived after the original deep deal; let extra determine eligibility, never select manually. Merge-05 confirms read1-094 omitted solana-token-facts. Its source-recheck caveats include read1-083, so the narrative alone is not independent verification. RAN python3 score.py late 6fbd014c-a8f8-4b39-93ab-a37f88b7ec44, exit 0; stderr verbatim: late: 11 plugins without a usable first read go to 4 fresh seats, two reads each SPAWN: read1-late (read1-late-001,002) and read1-late2 (read1-late2-001,002), stdout copied unchanged including brief, item vars, output json/32000 and merge groupSize 20. Each item reads 5 or 6 entrants plus both references; each entrant appears exactly twice, once in each batch. No peer scores supplied. Both batches are too small for canary holds or merging. The 11: 150658 solana-token-facts; 150814 telegram-ops; 150900 ferry; 150929 vipernet-model-manager; 151482 openinvest-hosted; 152198 pr-ready-checker; 152418 thread; 152782 hermes-tape; 152879 understory; 153062 deck-diff; 153993 agent-webmcp. Ten had blocked first reads; one was omitted. Do not call them permanently unjudged until these attempts land. The hung read2 item remains eligible to contribute when it lands. HANDED RESULTS: read all 30 inputs (29 deep JSON results and read1 merge-05). Deep inputs contain 174 entrant assessments covering 103 distinct entrants, plus 2 unsolicited reference rows in deep-f/deep-31. All criteria are integers 1..5, all totals match U+R+P+C+2B, none is blocked. deep-31 ranked 8 including references, leaving entrant ranks 1,2,3,4,5,7. score.py filters pr=0 before comparisons; preserve the original result/order, never rewrite accepted scores. All 29 setups report Hermes installed. deep-g/deep-38 says its scripted-model runner hung and claims catalog checks/tests only, not completed tool-call conversations. The other 28 report scripted Hermes execution, with individual service/device/installation limits. These counts concern only the handed subset, not all 60. Several seats adapted the harness or manually enabled profiles; successful calls do not prove fresh installation or real hardware/provider behavior. Preserve those caveats. Disagreements for eventual evidence review: deep-05 versus deep-55 on Lethe direct-file-write privacy coverage; deep-15 versus deep-19 on Omniscience credential-file access; deep-38 versus deep-21/43 on Sheets admission. deep-38's scanner finding prompt_injection_ignore in g1abc.json/g2.json alone does not prove an instruction aimed at judges; no explicit judge-steering allegation was found in supplied narratives. deep-26 gives agent-pool Reliable=1 for scanner evasion and unattended privileged provisioning. deep-04 reports Wear OS credential-file fallback; deep-39 reports Annotary credential-file reads. These are seat findings, not independently reverified facts. No discretionary rescore batch: follow the prescribed generator. The supplied snapshot flags source rechecks on 20 of 49 checked deep results; these are not automatic fabrication findings. BUDGET after this decision: 235/266 seats allocated, 31 left. Reserve 12 for final and up to 6 for extra, leaving at least 13 for permitted retries. Episode 4/20. Read requests use 30 slots: all 4 late items, read2-021, 25 previously unhanded deep items. Six original deep results remain outside these requests: deep-11,16,23,28,58,59; score.py still retrieves every accepted result directly. Wake on both new batches and the eight still-running original deep batches, afterMinutes 40. This schedules the next episode; it is not a wait here. finish=false. NEXT: fetch PLAN.md, score.py and field.json again and read changes. Do not re-deal read1/read2/deep or duplicate read1-late batches. Keep original deep-a..j assignments. Failed items may be retried once per batch with itemsFrom and the original brief/output/merge, preserving read1/read2/deep/final name prefixes; keep final/extra seats reserved. Resume held batches only when state warrants it. Distinguish failed items from blocked plugins inside accepted results. Advance when original deep reaches 55/60 accepted OR 150 minutes since approximately 00:10Z (approximately 02:40Z), AND late batches have settled or run 40 minutes. Then run score.py extra GOAL_ID first. If stderr says too early, wake again; that empty spawn is not permission to skip recovery. If it reports no outside plugin qualifies, run final in the same episode. If it emits deep-x and possibly deep-y, spawn unchanged and wake; proceed to final after those settle or run 60 minutes. Do not duplicate already-dealt extra; inspect its settlement/time before final. Never choose late candidates yourself. Run score.py final GOAL_ID once eligible; copy its three batches unchanged (12 seats, 20 finalists), wake on every spawned batch with afterMinutes 40. Advance at 10/12 final seats, handling permitted retries. Then score.py done GOAL_ID; retain its exact table in notes and set finish=true for the separate write-up naming five places and five runners-up. Record every step's stderr and batch names. If score.py cannot reach api.imd.fun, spawn nothing and record the error for another seat. The final account must distinguish inaccessible entries, late recovery, installation/test limits and confirmed judge manipulation, without showing one judge another's scores.

   1 step

   read1-late, item by itemread1-late2, item by item

5. Round 5deep-x5 of 5 backdeep-y4 of 4 back

   Agent #1548 planned it.

   what deep-x was asked

   Your batch: {{batch}}. These Hermes plugins reached round 3 of the hackathon judging: {{plugins}} Each is "pull request number, catalog name"; ref marks a reference plugin already in the catalog that every seat scores, so give it pr 0. Find each one's repository, pinned commit and folder in https://gist.githubusercontent.com/gtmcknight/594c47336546c8763e641b46cf9af4ec/raw/field.json (its "refs" and "plugins" lists, matched on pr and name). Score each on the objective's scale after running it inside real Hermes. How: 1. Work only inside test/scratch/ and leave nothing else but the result file. 2. Follow https://gist.githubusercontent.com/gtmcknight/594c47336546c8763e641b46cf9af4ec/raw/RUN.md to install Hermes from its source once and get tryit.py, which runs a plugin inside real Hermes against Nous's own scripted test model, so no model, key or account is needed. If Hermes cannot be installed here, judge by reading alone and say why in setup. 3. For each plugin: fetch its pinned commit, run tryit.py with an empty plan to see what it adds, then plan two to five calls a real user's request would lead to (one with a bad input) and run them. Read its README, manifest, code and tests, and run its tests if it has any. 4. Score it. Reliable leans on what ran: a failed catalog check, a plugin Hermes would not load, or a call that crashed caps it at 2. 5. Then rank your whole batch, 1 the best, no ties: scores bunch at the top, so the order is what separates these. Between close ones, the one more Hermes users would keep installed. Write the result with a script (json.dump), and again after each plugin: {"batch": "{{batch}}", "setup": "how Hermes was installed, or why it was not", "plugins": [{"pr": 0, "name": "catalog name", "validate": "the catalog check: passed, or failed and which checks, or not run and why", "inside": "inside Hermes: loaded or not, what it added, which calls worked", "tests": "passed, failed, none or not run, with counts", "useful": 0, "reliable": 0, "polish": 0, "creative": 0, "beyond": 0, "total": 0, "rank": 0, "best": "one sentence", "worst": "one sentence", "blocked": null}]} One entry per plugin, in the order given. blocked is null unless you could not read the plugin at all; then it says why in one sentence and the scores are 0.

   what deep-y was asked

   Your batch: {{batch}}. These Hermes plugins reached round 3 of the hackathon judging: {{plugins}} Each is "pull request number, catalog name"; ref marks a reference plugin already in the catalog that every seat scores, so give it pr 0. Find each one's repository, pinned commit and folder in https://gist.githubusercontent.com/gtmcknight/594c47336546c8763e641b46cf9af4ec/raw/field.json (its "refs" and "plugins" lists, matched on pr and name). Score each on the objective's scale after running it inside real Hermes. How: 1. Work only inside test/scratch/ and leave nothing else but the result file. 2. Follow https://gist.githubusercontent.com/gtmcknight/594c47336546c8763e641b46cf9af4ec/raw/RUN.md to install Hermes from its source once and get tryit.py, which runs a plugin inside real Hermes against Nous's own scripted test model, so no model, key or account is needed. If Hermes cannot be installed here, judge by reading alone and say why in setup. 3. For each plugin: fetch its pinned commit, run tryit.py with an empty plan to see what it adds, then plan two to five calls a real user's request would lead to (one with a bad input) and run them. Read its README, manifest, code and tests, and run its tests if it has any. 4. Score it. Reliable leans on what ran: a failed catalog check, a plugin Hermes would not load, or a call that crashed caps it at 2. 5. Then rank your whole batch, 1 the best, no ties: scores bunch at the top, so the order is what separates these. Between close ones, the one more Hermes users would keep installed. Write the result with a script (json.dump), and again after each plugin: {"batch": "{{batch}}", "setup": "how Hermes was installed, or why it was not", "plugins": [{"pr": 0, "name": "catalog name", "validate": "the catalog check: passed, or failed and which checks, or not run and why", "inside": "inside Hermes: loaded or not, what it added, which calls worked", "tests": "passed, failed, none or not run, with counts", "useful": 0, "reliable": 0, "polish": 0, "creative": 0, "beyond": 0, "total": 0, "rank": 0, "best": "one sentence", "worst": "one sentence", "blocked": null}]} One entry per plugin, in the order given. blocked is null unless you could not read the plugin at all; then it says why in one sentence and the scores are 0.

   the whole memo

   Episode 5. GOAL_ID 6fbd014c-a8f8-4b39-93ab-a37f88b7ec44. Original deep round and late reads are settled. Run the prescribed extra round now; deal final after it settles or runs 60 minutes. No refusals, failed items, held items, pauses or running items in the supplied snapshot. No retries, resumes or cancellations warranted. SOURCES re-fetched and read from BASE=https://gist.githubusercontent.com/gtmcknight/594c47336546c8763e641b46cf9af4ec/raw. Scratch files are not delivered; fetch PLAN.md, field.json and score.py again next episode. SHA256: PLAN.md a251c4992d982b0dacc6bf7b1713c20d5a3ddfbb4ee40202c411ce3e80d137d3; score.py 65cc1a30b98610bc3e19a56ae31420ad9e19ac53096893349a43306c2e15c1a1; field.json 4e27aa515b7588fdb16e7df4eed8abcadb8baffb00562dbc382dd12404e11104. PLAN and score changed since ep4; field unchanged. RUN.md 05d979c9a818cc70eb481a65e1c3f74e68840e918a61bb4d5f7ae0c5709fe4ed and tryit.py 1366d8a258575fc85722010ae993f950521f544b4d2c7f3f2070741c0c8b2ec2 unchanged. Read score.py whole before running: standard library, public result/run APIs, hash-checked results, statistics written only to scratch. API reachable; extra exited 0. PLAN CHANGE 6 (00:56Z): extra also covers entries owed a second read (one usable read at or above round 2's cut), as well as entries now in the top 120 but absent from deep. Current generator excludes candidates already represented in deep results, caps additions at ten, and emits deep-x/deep-y with at most five items each. Ep4's six-seat reserve for extra is superseded by the actual nine. Disclose all six numbered methodology changes, plus the straggler rule; the plan says changes used whole-field numbers. Ep3's claim that late entries cannot reach deep is obsolete. STATE: read1 147/147 accepted; read2-a..e 24/24 accepted (read2-021 landed); original deep-a..j 60/60 accepted; read1-late/read1-late2 4/4 accepted. All settled, zero failures: extra is ready without waiting. Source rechecks flag 24 of 59 checked deep results, 10/24 read2 and 4/4 late; these are limitations, not automatic fabrication findings or failed items. RAN python3 test/scratch/episode005/score.py extra 6fbd014c-a8f8-4b39-93ab-a37f88b7ec44. Exact stderr: extra: 9 plugins get round 3 seats late (6 owed a second read): ['152691 grimoire', '149640 hermes-ark', '150261 excubitor', '150160 helm', '153640 patient-research', '152764 redactgate', '152850 ussd-platform', '153146 hermes-regress', '154055 augur'] SPAWN copied unchanged from stdout: deep-x, five items deep-x-01..05; deep-y, four items whose keys remain deep-x-06..09. Each item independently runs/scores six plugins and ranks that group. Each of the nine additions appears on exactly three distinct items, mixed with 27 distinct original deep entrants appearing once each: 54 assessments. Output json/32000, DEEP_BRIEF and merge groupSize 20 unchanged. No peer scores/reports supplied. Batches have at most five items: no canary holds or merges expected. Do not re-deal extra or original deep/read2. LATE READS: read all four. solana-token-facts (150658) now has two scores, both 19/30, repairing read1-094's omission; both readers report unknown graduation states counted as negative facts. Ten remain blocked on both fresh reads: 150814 telegram-ops, 150900 ferry, 150929 vipernet-model-manager, 151482 openinvest-hosted, 152198 pr-ready-checker, 152418 thread, 152782 hermes-tape, 152879 understory, 153062 deck-diff, 153993 agent-webmcp. Eight repositories reportedly return 404; thread and vipernet repositories exist but their pins do not. Do not substitute current branches. Accumulated evidence now gives 1,454/1,464 entries usable reading scores, with ten inaccessible at the pins despite recovery. These are blocked plugins inside accepted items, not failed workers for itemsFrom. patient-research has a usable first read and is assigned extra despite its previously blocked second read. read2-021's ten entries are all scored; its late scores now enter the generator, without changing the original deep deal. Wearos received Reliable=1 for plugin-owned HF token-file access and broad process killing. HANDED DEEP: read all 25 inputs, 150 entrant assessments plus two unsolicited reference rows in deep-g/deep-41. Across all 30 handed inputs, 194 rows: 182 entrants (20 blocked rows for ten entrants) and 12 refs. All usable criteria are integers 1..5 and totals equal U+R+P+C+2B. No deep entry blocked. deep-g/deep-40 could not install Hermes (shell network denied) and used web source reading only. deep-g/deep-41 installed but bounded harness attempts at 25 seconds without observing calls. deep-j/deep-57 installed but harness stalled, no observed calls. The other 22 report some real-Hermes execution, often with fixture/manual-enable/deferred-tool adjustments; this does not certify fresh installation, real devices/services or Desktop GUI. Ep4 also recorded deep-g/deep-38 without a completed tool conversation. Six original deep reports remain unhanded across ep4/5 and are requested next: deep-11,16,23,28,58,59. Do not claim an all-60 execution count yet. ACCEPTED-RESULT LIMITATIONS: deep-c/deep-18 gives ranks [3,3,6,2,1,4], violating no ties. score.py detects duplicates and uses that seat's totals, tied totals counting half a win. deep-g/deep-41 ranks two unsolicited refs alongside six entrants; score.py excludes pr=0 and uses relative order of distinct entrant ranks [2,1,7,4,6,3]. Ep4 noted similar refs in deep-f/deep-31. deep-41 gave tickover Reliable=3 despite a failed capability probe, above the brief's cap of 2. Preserve these defects in the account; do not rewrite accepted scores. The plan authorizes failed-item retries, not discretionary rescores. Findings to retain for write-up, reported by seats and not independently verified here: deep-06 seedguard leaked a synthetic quoted assignment to recorded model input; deep-12 guild exported .env contents and followed external symlinks; deep-22 dress-rehearsal let a fake cat executable write before approval; deep-10 ci-red-to-green accepted filtered tests as full-suite proof while two regressions remained, unlike deep-53's successful standard demo. deep-54 annotary and nvidia-switchyard report manual catalog credential-rule conflicts despite automatic-check passes; deep-52 no-cap persisted credential fragments. No explicit judge-steering attempt found in these inputs. Standing-orders' camera prompt-injection fixture is a defensive test, not an instruction to judges. Do not infer manipulation from scanner strings or test fixtures. BUDGET: 235 + 9 = 244/266 seats allocated, 22 left. Reserve 12 for final, leaving 10 for permitted retries. Episode 5/20. Request all nine extra items and six remaining original deep reports (15 reads). Wake on deep-x/deep-y, afterMinutes 40; a future episode schedule, not a wait here. finish=false. NEXT: refresh sources and goal state, inspect extra. Advance to score.py final GOAL_ID when both extra batches settle OR 60 minutes since actual spawn. If the 40-minute wake is early, wake on both again with the remaining time to 60 minutes (at most 40). Failed items may be rerun once per batch using itemsFrom and exact original brief/output/merge, keeping deep/final prefixes; reserve the final 12 seats. Copy final's spawn unchanged (expected final-a..c, four items each, 20 finalists); wake on every spawned batch with afterMinutes 40, record exact stderr. Advance at 10/12 final items, handling permitted failures. Then run score.py done GOAL_ID, put its exact table in notes and set finish=true for the separate five-places/five-runners-up write-up. Do not choose or score entrants yourself. If score.py cannot reach api.imd.fun, spawn nothing and record its exact error for another seat. Retain missing-code, execution and methodology limits in the account.

   1 step

   deep-x, item by itemdeep-y, item by item

6. Round 6final-a4 of 4 backfinal-b4 of 4 backfinal-c4 of 4 back

   Agent #1842 planned it.

   what final-a was asked

   Your batch: {{batch}}. These are the finalists of the Hermes Plugin Hackathon judging: {{plugins}} Each is "pull request number, catalog name"; ref marks a reference plugin already in the catalog that every seat scores, so give it pr 0. Find each one's repository, pinned commit and folder in https://gist.githubusercontent.com/gtmcknight/594c47336546c8763e641b46cf9af4ec/raw/field.json (its "refs" and "plugins" lists, matched on pr and name). Rank them all from best to worst, as Nous's judges will, on the objective's scale and words. How: 1. Work only inside test/scratch/ and leave nothing else but the result file. Fetch each pinned commit there (git fetch --depth 1 REPO SHA). 2. For each, read its pull request, README, manifest and the code that does the work, about six minutes each. Run the ones you doubt inside real Hermes as https://gist.githubusercontent.com/gtmcknight/594c47336546c8763e641b46cf9af4ec/raw/RUN.md shows, if Hermes installs here. 3. Score each on the scale, then rank them all with no ties: the scale decides, and between close ones, the one more Hermes users would keep installed. Write the result with a script (json.dump): {"batch": "{{batch}}", "ranking": [{"rank": 1, "pr": 0, "name": "catalog name", "total": 0, "why": "why it sits here, one sentence"}]} Every finalist once, rank 1 to the last.

   what final-b was asked

   Your batch: {{batch}}. These are the finalists of the Hermes Plugin Hackathon judging: {{plugins}} Each is "pull request number, catalog name"; ref marks a reference plugin already in the catalog that every seat scores, so give it pr 0. Find each one's repository, pinned commit and folder in https://gist.githubusercontent.com/gtmcknight/594c47336546c8763e641b46cf9af4ec/raw/field.json (its "refs" and "plugins" lists, matched on pr and name). Rank them all from best to worst, as Nous's judges will, on the objective's scale and words. How: 1. Work only inside test/scratch/ and leave nothing else but the result file. Fetch each pinned commit there (git fetch --depth 1 REPO SHA). 2. For each, read its pull request, README, manifest and the code that does the work, about six minutes each. Run the ones you doubt inside real Hermes as https://gist.githubusercontent.com/gtmcknight/594c47336546c8763e641b46cf9af4ec/raw/RUN.md shows, if Hermes installs here. 3. Score each on the scale, then rank them all with no ties: the scale decides, and between close ones, the one more Hermes users would keep installed. Write the result with a script (json.dump): {"batch": "{{batch}}", "ranking": [{"rank": 1, "pr": 0, "name": "catalog name", "total": 0, "why": "why it sits here, one sentence"}]} Every finalist once, rank 1 to the last.

   what final-c was asked

   Your batch: {{batch}}. These are the finalists of the Hermes Plugin Hackathon judging: {{plugins}} Each is "pull request number, catalog name"; ref marks a reference plugin already in the catalog that every seat scores, so give it pr 0. Find each one's repository, pinned commit and folder in https://gist.githubusercontent.com/gtmcknight/594c47336546c8763e641b46cf9af4ec/raw/field.json (its "refs" and "plugins" lists, matched on pr and name). Rank them all from best to worst, as Nous's judges will, on the objective's scale and words. How: 1. Work only inside test/scratch/ and leave nothing else but the result file. Fetch each pinned commit there (git fetch --depth 1 REPO SHA). 2. For each, read its pull request, README, manifest and the code that does the work, about six minutes each. Run the ones you doubt inside real Hermes as https://gist.githubusercontent.com/gtmcknight/594c47336546c8763e641b46cf9af4ec/raw/RUN.md shows, if Hermes installs here. 3. Score each on the scale, then rank them all with no ties: the scale decides, and between close ones, the one more Hermes users would keep installed. Write the result with a script (json.dump): {"batch": "{{batch}}", "ranking": [{"rank": 1, "pr": 0, "name": "catalog name", "total": 0, "why": "why it sits here, one sentence"}]} Every finalist once, rank 1 to the last.

   the whole memo

   Episode 6. GOAL_ID 6fbd014c-a8f8-4b39-93ab-a37f88b7ec44. Round 3 is complete (original and extra); round 4 (final) is dealt this episode exactly as score.py final wrote it. Earlier notes hold except where this says otherwise. SOURCES re-fetched from BASE=https://gist.githubusercontent.com/gtmcknight/594c47336546c8763e641b46cf9af4ec/raw; all five files have the same sha256 as in episode 5 (PLAN.md a251c499...37d3, score.py 65cc1a30...c1a1, field.json 4e27aa51...1104, RUN.md 05d979c9...e4ed, tryit.py 1366d8a2...2ec2): no plan change since change 6. STATE at 2026-11-12T02:09Z: all 20 batches settled, every item accepted (read1 147, read2-a..e 24, deep-a..j 60, read1-late/late2 4, deep-x 5, deep-y 4), none failed, held, paused or refused. Nothing to retry, resume or cancel. Source rechecks flag 2 of 5 deep-x and 4 of 4 deep-y results (a limit, not failures). RAN python3 score.py final 6fbd014c-a8f8-4b39-93ab-a37f88b7ec44 (exit 0). stderr verbatim: round 3: 128 plugins scored by 69 seats; 20 finalists 128, not 129: 153640 patient-research is blocked in all three of its extra seats (deep-x-05, -06, -07: its repository returns 404; deep-x-05 says the pull request's head is now another plugin, agentpay-guard). It keeps its one first read and has no round 3 result. 101 plugins have three round 3 seats, 27 have four (dealt again beside the extras). SPAWNED, copied unchanged from stdout (FINAL_BRIEF, output json 32000, merge groupSize 20): final-a (final-01..04), final-b (final-05..08), final-c (final-09..12). 12 seats, each given all 20 finalists in its own shuffled order and told to rank all 20 with no ties, with pr, name, total and why. Four items a batch: no canary hold, no merge; I asked for all 12 items. No seat sees another's scores. DO NOT run score.py final again or spawn final-a..c again. THE 20 FINALISTS in round 3 order (combined z of curved score and head-to-head; round 3 score of 30): 1 153020 breadcrumbs 2.029 (28.61); 2 153955 shadow 1.947 (29.41); 3 151887 cmi 1.850 (28.34); 4 149738 trust-ladder 1.675 (27.99); 5 150644 hermes-canvas 1.623 (28.70); 6 153714 tenure 1.531 (28.89); 7 152691 grimoire 1.457 (28.17); 8 153844 fine-print 1.436 (28.68); 9 152458 housemate 1.395 (27.45); 10 150596 ariadne 1.327 (28.26); 11 150840 kata 1.235 (27.97); 12 153851 foreman 1.215 (26.86); 13 149640 hermes-ark 1.135 (27.76); 14 152651 workroom 1.117 (28.34); 15 150556 hermes-ui-cards 0.994 (27.00); 16 153809 living-spaces 0.990 (27.40); 17 152908 contract-necromancer 0.989 (27.27); 18 150251 gemini-live 0.981 (27.89); 19 150353 fluent 0.954 (27.09); 20 150800 hypnos 0.896 (27.37). First out: 149553 hermes-time-machine 0.890, 152481 argus 0.860, 152214 passkey-gate 0.853. The cut is close (0.896 against 0.890): say so. This is round 3's order, not the result: the final seats' mean rank decides places. EXTRA ROUND OUTCOME (9 late plugins, three seats each): grimoire place 7 and hermes-ark place 13 of 128 are finalists; ussd-platform 44, augur 64, redactgate 84, excubitor 112, helm 116, hermes-regress 127; patient-research unreadable. So plan changes 5 and 6 put two plugins into the final that the original deal left out (hermes-ark was one of hung seat read1-083's ten; grimoire was owed a second read). ROUND 3 EXECUTION, counted over all 69 accepted deep results (60 original + 9 extra; I fetched each through score.py and read its setup): 67 seats installed Hermes from source; 2 did not and judged by reading alone (deep-d/deep-23: out of time; deep-g/deep-40: its shell network was refused). 4 installed it but report no completed scripted conversation, scoring from the catalog check, tests and code (deep-g/deep-38, deep-g/deep-41, deep-j/deep-57, deep-j/deep-58). The other 63 report scripted runs inside real Hermes, many with adjustments (tool deferral off or calls through tool_call, plugins enabled by config, a copy of tryit.py); none had real devices, paid providers or the Desktop GUI. This replaces the partial counts of episodes 4 and 5. Finalists touched: deep-41 is one of cmi's three seats and of living-spaces' three; a shadow seat judged its paid model trial by reading. 414 entrant rows, 3 blocked (patient-research). Rank defects, left as they are: deep-c/deep-18 gave ranks [3,3,6,2,1,4] (ties, so score.py used its totals; a seat of breadcrumbs and hermes-canvas); deep-31, deep-41 and deep-58 added the two reference plugins unasked (score.py drops pr 0). FINDINGS for the write-up (seats' reports, not rechecked by me): Reliable 1 was given three times in round 3: 151704 guild (deep-12: pushes .env contents, follows symlinks), 153225 agent-pool (deep-26: hides a privileged command from the catalog scanner and auto-runs root provisioning), 153146 hermes-regress (deep-x-01: stores passwords despite its redaction claim; its other two seats gave Reliable 2). None is a finalist. I scanned every validate/inside/tests/best/worst field of all 69 results: NO seat reports a plugin trying to steer an AI judge; deep-x-03 and deep-x-09 say outright that none was found. Scanner or fixture strings (sheets, standing-orders) and capalis's JUDGES.md (deep-59: self-contradictory about live runs) are not such attempts. New: omniscience reads provider keys from files against its own claim (deep-16); hermes-teleoperator reads SSH key files and would not enable (deep-59; deep-58 ranked it first without running it); own-compute's spend gate is bypassed with approvals off (deep-x-03). On finalists: grimoire's number check is a regex footer, not enforcement (deep-x-03 gave 25, the other two 29); hermes-ark imports cryptography undeclared (deep-x-03); housemate has a failing TLS test (deep-x-06); hermes-ui-cards has an empty demo placeholder and a failing test (deep-59). NOT JUDGED OR PARTLY JUDGED: ten entries have no usable read at their pins after three attempts (150814 telegram-ops, 150900 ferry, 150929 vipernet-model-manager, 151482 openinvest-hosted, 152198 pr-ready-checker, 152418 thread, 152782 hermes-tape, 152879 understory, 153062 deck-diff, 153993 agent-webmcp); 153640 patient-research has one first read only (its repository vanished before its second read and before round 3). 1,454 of 1,464 have a reading score. BUDGET: 244 + 12 = 256 of 266 seats, 10 left for final re-runs. Episode 6 of 20. NEXT EPISODE: 1) Read goal.json; fetch the five files again and compare the hashes; read PLAN.md's last section for changes. 2) Count final-a..c. FAILED items: run them again once per batch, alongside going on when the count allows: {"name": "final-a-again", "itemsFrom": {"batch": "final-a", "items": "failed"}} (the name must start with final so score.py reads it) with brief, output and merge exactly as score.py's FINAL_BRIEF, OUTPUT and MERGE give them (print them by importing score.py; goal.json's brief is cut short), and wake on it. 3) Go on once at least 10 of the 12 are accepted and the rest have run over 30 minutes (or all have settled). Before that, wake again on them with afterMinutes 40 and decide nothing else. 4) Then python3 score.py done 6fbd014c-a8f8-4b39-93ab-a37f88b7ec44: copy its table into notes verbatim, with its stderr (it names seats skipped for not ranking all 20; say how many rankings counted), and set finish true. If it cannot reach api.imd.fun, spawn nothing and record the error. 5) Read the 12 final results: check each ranks all 20 once, 1 to 20, and scan every why for a reported attempt to steer an AI judge. 6) Do not score, pick or reorder entrants yourself. The write-up names places 1 to 5 and runners-up 6 to 10 from the done table as written; says it is a prediction by AI seats, not Nous's result; lists the plan's six numbered changes and its straggler rule; and gives the limits above: the eleven entries not or partly judged, the execution counts, the close cut at 20, the rank defects, the source-recheck flags, and that findings are the seats' own.

   1 step

   final-a, item by itemfinal-b, item by itemfinal-c, item by item

7. Round 7Episode 7. GOAL_ID 6fbd014c-a8f8-4b39-93ab-a37f88b7ec44.

   Agent #559 planned it.

   the whole memo

   Episode 7. GOAL_ID 6fbd014c-a8f8-4b39-93ab-a37f88b7ec44. Round 4 is in and score.py done wrote the final order: FINISH. Nothing spawned or running. Notes of episodes 1 to 6 hold. SOURCES re-fetched from BASE=https://gist.githubusercontent.com/gtmcknight/594c47336546c8763e641b46cf9af4ec/raw: all five files keep episode 6's sha256. No plan change after change 6. STATE: 23 batches settled, every item accepted, none failed, held or refused. final-a..c: 12 of 12 accepted, but final-c/final-12 is empty (ranking [], status incomplete: its machine could not reach gist.githubusercontent.com for field.json; it says it invented nothing). 11 seats ranked all 20; the plan needs 10 of 12. final-12 was accepted, not failed, so itemsFrom cannot rerun it, and the plan allows no seat added after results are seen: I added none. 256 of 266 seats used. RAN python3 score.py done GOAL_ID (exit 0). stderr verbatim: skipped final-12: it did not rank all 20 finalists stdout verbatim (the result; 11 rankings counted): | Place | Plugin | Pull request | Mean rank (11 seats) | Ranked first by | Best to worst rank | Round 3 score (of 30) | | --- | --- | --- | --- | --- | --- | --- | | 1 | housemate | https://github.com/NousResearch/hermes-agent/pull/152458 | 3 | 5 | 1 to 9 | 27.45 | | 2 | hermes-canvas | https://github.com/NousResearch/hermes-agent/pull/150644 | 6.55 | 1 | 1 to 16 | 28.7 | | 3 | hermes-ark | https://github.com/NousResearch/hermes-agent/pull/149640 | 6.73 | 3 | 1 to 16 | 27.76 | | 4 | tenure | https://github.com/NousResearch/hermes-agent/pull/153714 | 6.82 | 1 | 1 to 20 | 28.89 | | 5 | hermes-ui-cards | https://github.com/NousResearch/hermes-agent/pull/150556 | 7.45 | 1 | 1 to 15 | 27.0 | | runner-up | kata | https://github.com/NousResearch/hermes-agent/pull/150840 | 8.09 | 0 | 2 to 15 | 27.97 | | runner-up | ariadne | https://github.com/NousResearch/hermes-agent/pull/150596 | 8.18 | 0 | 4 to 19 | 28.26 | | runner-up | fine-print | https://github.com/NousResearch/hermes-agent/pull/153844 | 9.36 | 0 | 3 to 20 | 28.68 | | runner-up | grimoire | https://github.com/NousResearch/hermes-agent/pull/152691 | 10.45 | 0 | 5 to 15 | 28.17 | | runner-up | shadow | https://github.com/NousResearch/hermes-agent/pull/153955 | 10.82 | 0 | 3 to 18 | 29.41 | | finalist | cmi | https://github.com/NousResearch/hermes-agent/pull/151887 | 11 | 0 | 5 to 18 | 28.34 | | finalist | hypnos | https://github.com/NousResearch/hermes-agent/pull/150800 | 11 | 0 | 6 to 17 | 27.37 | | finalist | trust-ladder | https://github.com/NousResearch/hermes-agent/pull/149738 | 11.73 | 0 | 3 to 20 | 27.99 | | finalist | foreman | https://github.com/NousResearch/hermes-agent/pull/153851 | 11.73 | 0 | 4 to 17 | 26.86 | | finalist | fluent | https://github.com/NousResearch/hermes-agent/pull/150353 | 11.73 | 0 | 2 to 19 | 27.09 | | finalist | gemini-live | https://github.com/NousResearch/hermes-agent/pull/150251 | 12.64 | 0 | 3 to 19 | 27.89 | | finalist | contract-necromancer | https://github.com/NousResearch/hermes-agent/pull/152908 | 14.64 | 0 | 3 to 20 | 27.27 | | finalist | breadcrumbs | https://github.com/NousResearch/hermes-agent/pull/153020 | 15.36 | 0 | 3 to 20 | 28.61 | | finalist | living-spaces | https://github.com/NousResearch/hermes-agent/pull/153809 | 15.91 | 0 | 10 to 20 | 27.4 | | finalist | workroom | https://github.com/NousResearch/hermes-agent/pull/152651 | 16.82 | 0 | 6 to 20 | 28.34 | MY CHECKS: final-01..11 each rank the same 20 finalists once, 1 to 20, no ties; I recomputed every mean rank and all match. Mean-rank ties are ordered by round 3 standing; none is in the top ten. HOW FIRM: place 1 is clear (housemate 3.00, first for 5 of 11 seats, never below 9). Places 2 to 4 are NOT separable: 6.55, 6.73, 6.82; one more seat could reorder them. Places 5 to 7 are close too. Runner-up cut is thin: shadow 10.82 against cmi and hypnos 11.00. Seats disagree widely (tenure 1 to 20, hermes-ark and hermes-canvas 1 to 16). Final and round 3 orders differ: breadcrumbs was 1st in round 3, now 18th; shadow 2nd, now 10th; cmi 3rd, now 11th; housemate was 9th, hermes-ark 13th, hermes-ui-cards 15th. Say all this. WHAT FINAL SEATS SAID (their words, not rechecked by me): 1 housemate (github.com/RaYYeR220/housemate): a real gateway platform adapter and TTS provider turning old phones and laptops into wake-word room speakers; spoken approvals through Hermes's approval card, Desktop page, about 453 tests, CI on real Hermes; Nous's own-hardware theme. Against: heavy setup, open LAN server, no speaker identification, live audio run by no seat; one failing TLS test (deep-x-06). 2 hermes-canvas (0xbyt4/hermes-canvas): Desktop plan canvas whose boxes change from real writes and check exit codes, mid-turn user edits, pre_verify gate; 206 to 306 tests passed; final-07 and final-11 saw real Hermes refuse a forged done. Against: 'cannot fake' overclaims (the model writes the check commands), heuristic shell-write detection, Desktop coding only. 3 hermes-ark (medomohamed22/hermes-ark): encrypted, deduplicated backups of the Hermes home, pre-write snapshots, item-level restore, keys from Hermes's secret store, Desktop page; four seats ranked it 1st or 2nd as what most users keep. Against: a familiar idea (four seats ranked it 11 to 16), regex self-defense, undeclared cryptography import (deep-x-03), live S3 untested. 4 tenure (otsoa-dubief/tenure): per-action earned, revocable trust through Hermes's approval gate, undo, signed ledger, Desktop and dashboard, the largest test suite. Against: final-06 and final-07 each gave Reliable 1 (ranks 20 and 19), reporting catastrophic regex backtracking in its HERMES_VAR terminal matcher on a short input (final-07: reproduced), which can stall the hook; the other nine ranked it 1 to 9. Also a 5,200-line heuristic shell classifier and private core imports. State this dispute plainly. 5 hermes-ui-cards (robbyczgw-cla/hermes-ui-cards): 17 schema-checked interactive answer cards in Desktop and Webapp, text fallback, 330 to 463 tests. Against: a known UI pattern, a presentation layer (three seats ranked it 13 to 15), empty demo-video slot. Runners-up: 6 kata (opeblow/kata) turns the agent's repeated tool sequences into approved deterministic tools; 7 ariadne (miracle352/hermes-ariadne) records and replays sessions to show what a Hermes upgrade changed; 8 fine-print (Joko-F/hermes-fine-print) observes and explains Hermes's own limits; 9 grimoire (bettersandeep/grimoire) traces numbers in answers to queries, by a regex footer, not enforcement (deep-x-03); 10 shadow (akinduroifedayo/shadow) trials a candidate model on the user's own turns and switches with undo; 40-plus private imports. Other: no final seat reports a plugin trying to steer an AI judge (final-09 says none; I scanned every why). Final seats' Hermes use varies: final-09 ran validate, enable and doctor on all 20 (all passed); others ran some or read only; none reports real devices, paid providers or a live Desktop GUI. Source rechecks flag 6 of 12 final results (01, 03, 05, 07, 10, 11): a limit, not a failure. READS ASKED: the 12 final results; every round 3 seat of places 1 to 5; deep-49; deep-x-01. WRITE-UP: name places 1 to 5 and runners-up 6 to 10 exactly as the table gives them, with links and mean ranks as written; do not reorder or rescore. Say it is AI seats' prediction of Nous's judging, not Nous's result. Give the method (147 first reads, 24 second reads, 69 hands-on round 3 seats, 12 final seats of which 11 counted), the plan's six changes and straggler rule, and the limits: 11 of 12 final rankings; near-ties at 2 to 4 and 10 to 11; the tenure dispute; the cut at 20 finalists (0.896 against 0.890); ten entries unreadable at their pins and patient-research with one read (episode 6 lists them), so 1,454 of 1,464 judged; round 3 execution counts and rank defects (episode 6); source-recheck flags; findings are the seats' own.

   1 step

8. Merges5 of 5 merges for the write-up

   5 steps
9. Write-upAgent #341made 1 file

   Created report.md.

   Rankings match score.py exactly. Coverage gaps and judging limitations are documented. Validated at 23,710 bytes; left untracked for upload.

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   artifacts/goal/writeup/**
10. JudgeAgent #757found 1 medium, 1 low

    The review is finished: the report holds up on every figure I could recompute, and .imd-findings.json carries two findings, one medium and one low, neither high.

    Findings

    1. Medium — place 4 (tenure) does not survive a defect the report only calls "reported". The catastrophic regex in tenure/classify.py line 442 reproduces at the pin in seconds: $HERMES_HOME plus 26 slashes plus x takes 6 s, four times longer for every two more slashes. I timed the pattern itself and traced its call path by reading; I did not run the plugin. It runs inside the plugin's pre_tool_call hook. Nine of the eleven ballots scored it without hitting this; the two that did ranked tenure 20th and 19th. If the other nine apply the same Reliable 1, tenure falls to roughly 17th–20th of 20, hermes-ui-cards takes fourth, ariadne fifth, and hypnos enters the runners-up. That is a sensitivity estimate, not a rescoring. The report should say the stall is confirmed and that fourth place is conditional. Tenure's PR is also still open without the ci-reviewed label, while the other four places are merged.

    2. Low — the "Why it sits here, from the seats" table is one ballot's reasons. All 15 rows cite final-03, and 10 cite nothing else. That seat is on the report's own failed-source list, and it ranked hermes-ark 5th, tenure 8th and hermes-ui-cards 6th, not the places being explained. The statements match what other seats wrote, so this is a labelling and sourcing defect, not a wrong claim.

    What checked out

    • Winners table: re-running score.py done on the goal's public results gives a table byte-identical to the report's, and all eleven complete ballots rank the same 20 plugins once each.
    • Other figures:
      • The round-3 standings match, including hypnos 0.896 against hermes-time-machine 0.890.
      • All four diagnostic rows match, including the two historical snapshots.
      • Coverage is 1,454 of 1,464; the deep round has 128 plugins, 101 with three assessments and 27 with four.
      • The source-flag counts, seat anomalies and the three input hashes match.
    • Unjudged entries: all ten repositories or pinned commits still return 404, and their PRs still pin the same commits.
    • Placed entries: all ten PRs fall inside the hackathon window and pin the commits in field.json.
    • Judge steering: no seat reported an attempt, and I found none in the ten placed plugins. Kata's README line about judging and housemate's JUDGES.md are pitches and a walkthrough for human reviewers.
    • Cited evidence: the reservations for housemate, hermes-canvas, hermes-ark and hermes-ui-cards say what their cited results say.

    Fifth place is thin: dropping final-02 alone puts ariadne ahead of hermes-ui-cards. The report already says places 5–7 are close, so I did not file it.

    No repository files were changed other than .imd-findings.json.

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    • mediumPlace 4 (tenure): the stall the report calls 'reported' reproduces at the pin in seconds, and the place does not survive it; the report neither confirms it nor says how far the place depends on itartifacts/goal/writeup/report.md:123

      Claim: the winners table (line 6) names tenure fourth, mean rank 6.82, and line 123 describes the HERMES_VAR backtracking only as a 'serious reported defect', adding that fourth place is 'not a finding that the defect is harmless'. Why it fails the goal: the goal's scale gives Reliable 1 to a plugin that is 'broken, missing pieces or unsafe' and tells every seat to 'judge what is in the code at the pinned commit'.

      The defect is not a matter of opinion between seats: it is in the pinned file the two seats cite and is checkable in under a minute. tenure/classify.py line 442 at f4a62855 is HERMES_VAR = re.compile(r"$(?:HERMES_HOME|{HERMES_HOME})(?:/+.?)/"), a nested quantifier, and it is applied with fullmatch to the raw target of a cd (line 1041, reached from _segment_main line 3155), to every path candidate of a command word (line 1148) and to string literals up to 4,096 characters (line 4834). classify() is called from the plugin's pre_tool_call hook (tenure/init.py lines 1081 and 1332), which runs for every tool call.

      Python's re has no timeout, so the hook's own 25 second budget cannot interrupt it. Measured here with the pattern copied from the pin: '$HERMES_HOME' + N slashes + 'x' takes 0.10 s at N=20, 0.38 s at 22, 1.5 s at 24, 6.0 s at 26, that is four times longer per two slashes (about 25 minutes at N=34, hours at N=40).

      So nine of the eleven ballots that decide place 4 scored Reliable 4 (or a total consistent with it) for code that hangs the agent on a 39-character argument, and the two seats that tested it ranked tenure 20th and 19th. The report gives the reader both facts but leaves the one question that decides a top-five place open, and gives no figure for how much the place depends on it.

      It does: over the nine ballots that missed the stall tenure's mean rank is 4.0; if each of those ballots keeps its other scores and takes tenure's Reliable to 1 as final-06 and final-07 did (total minus 3), and tenure is re-placed in each ballot by that total, its mean rank becomes 14.6 (ties broken in its favour) to 16.9 (against it) and it finishes 17th to 20th of the 20 finalists. hermes-ui-cards moves to fourth, ariadne (level with kata in the second case) to fifth, and hypnos enters the runners-up.

      This is an estimate of sensitivity, not a rescoring: it shows the place is decided by whether a seat happened to test the matcher. A further fact the report does not give: PR 153714 was opened 2026-11-11 17:47Z, is still open and carries no 'ci-reviewed' label, while the PRs of the other four places (152458, 150644, 149640, 150556) are merged with that label, so Nous's catalog reviewer has not screened tenure either.

      The table is the scorer's output and the plan says to use it as written, so the order itself is not the defect; the defect is that the write-up ships a winner whose decisive open question it could have closed, worded as an unverified report, with no statement of the conditional result.

      whole finding

      1. Fetch https://raw.githubusercontent.com/otsoa-dubief/tenure/f4a62855e592b9e170ab0c54d9278aabef05f370/tenure/classify.py and read line 442 (the pattern) and lines 1041, 1148, 4834 (HERMES_VAR.fullmatch on cd targets, command words and string literals).

      2. Run: import re,time; p=re.compile(r"$(?:HERMES_HOME|{HERMES_HOME})(?:/+.?)/"); then for n in (20,22,24,26): time p.fullmatch('$HERMES_HOME'+'/'*n+'x').

      Expected for a safe matcher: microseconds.

      Actual: 0.096 s, 0.38 s, 1.51 s, 6.04 s (x4 per two slashes).

      The equivalent tool call is terminal cd $HERMES_HOME//////////////////////////////////x.

      3. From the eleven complete final ballots (final-01..11, e.g. https://api.imd.fun/artifacts/8ad1f04c854dc6abbb3d7418b0914f63dc0966c64508b43e10cb0f1263ea655f for final-06), tenure's ranks are 2, 9, 8, 4, 1, 20, 19, 4, 2, 2, 4: sum 75, mean 6.82 as the report states; without final-06 and final-07 the sum is 36 over nine ballots, mean 4.0.

      4. What-if: tenure's totals are 28, 25, 28, 26, 29, 24, 24, 29, 27, 27, 29.

      Subtract 3 in the nine ballots that gave Reliable 4 or totals only, and place tenure in each ballot by the new total against the other 19 totals in that ballot (ties in its favour): ranks become 7, 20, 19, 17, 6, 20, 19, 18, 12, 7, 16, mean 14.6, place 17 of 20; with ties against it the ranks are 10, 20, 20, 20, 10, 20, 19, 18, 19, 11, 19, mean 16.9, place 20.

      The other entries' recomputed means then order housemate 2.82, hermes-canvas 5.91, hermes-ark 6.55, hermes-ui-cards 7.09, ariadne 7.45, kata 7.64, fine-print 9.0, grimoire 9.82, hypnos 10.36, shadow 10.45.

      5. https://api.github.com/repos/NousResearch/hermes-agent/pulls/153714 returns state open, merged false, labels [P3]; pulls 152458, 150644, 149640 and 150556 return merged true with label ci-reviewed.

      What to change: say that the stall was confirmed at the pin (or confirm it), and state beside place 4 that it is conditional, with the place tenure and the next entries take if the defect is scored.

      whole reproduction

    • lowThe 'Why it sits here, from the seats' table is one ballot's reasons: all 15 rows rest on final-03, a seat on the report's own failed-source list, including rows whose place that seat did not giveartifacts/goal/writeup/report.md:28

      Claim: line 26 says 'The reasons below condense the seats' own assessments' and the column is headed 'Why it sits here, from the seats'.

      What the rows rest on: every one of the 15 rows (lines 30 to 44) cites [F03], and 10 of them cite nothing else; the wording of each row is a paraphrase of final-03's own 'why' sentence for that plugin (for example row 1 'paired browser devices, room arbitration, durable timers and approvals ... live room audio remains unverified' against final-03's 'paired browser satellites, room arbitration, persistent timers and actor-aware approvals ... live room audio remains unverified'). final-03 is one of the six final results the report itself lists at line 143 as flagged by the source recheck.

      It is also not the ballot that put several entries where the table has them: final-03 ranked hermes-ark 5th (the table explains place 3; the three seats that ranked it first, final-06, final-07 and final-11, are not cited), tenure 8th (place 4), hermes-ui-cards 6th (place 5), shadow 18th (runner-up) and trust-ladder 20th.

      Why it matters: a reader takes the column as the panel's reasons for each place, and it is a single flagged seat's. The statements themselves are consistent with what other seats wrote (root merge 5 records the same points from several seats), so this is a sourcing and labelling defect, not a wrong claim.

      whole finding

      Count the evidence labels in lines 30 to 44 of the report: [F03] appears in 15 of 15 rows; only rows 4, 8, 9, 10 and 13 carry a second label.

      Open [F03] (https://api.imd.fun/artifacts/5564fc23447c57d18a959b18aca8a90deb1cdebf2b5c9ee384d4c92b0e3c2416, batch final-03) and compare each row with the 'why' of the same plugin; its ranks there are hermes-canvas 1, housemate 2, hermes-ark 5, hermes-ui-cards 6, tenure 8, kata 9, fine-print 10, shadow 18, trust-ladder 20.

      Line 143 of the report: 'The flagged final results were final-01, final-03, final-05, final-07, final-10 and final-11.'

      Expected: each row cites the ballots that explain the place (at least one unflagged seat, e.g. final-02, -04, -06, -08 or -09), or the heading says the reasons are final-03's.

      Actual: one flagged ballot for all rows under a 'from the seats' heading.

      whole reproduction
11. Publishedresearch report
12. Onchain1 receipton Ethereum mainnet

    receipt

    receipt 1 · transaction · record

    scores

    written, with no entries recorded on it · block 26,396,256 · transaction

100 agents at most, 8 of 8 merges, judge accepted, 1 note