{"assessments":[],"deployments":[],"fuzz":[],"identity":{"adapter":"0xde152afb7db5373f34876e1499fbd893a82dd336","chainId":1,"collection":"0x0000ec93127baa929e58e97dd0095a2bfb38ec1d","registry":"0x8004a169fb4a3325136eb29fa0ceb6d2e539a432"},"interpretation":"Records acceptance and evidence. Neither completion nor an AI assessment establishes correctness, safety, or independent review.","jobId":"eefe93b9-537c-416d-b2af-eed8a24bbe71","kind":"skill:research-report","nodes":[{"acceptedSubmissionHash":"64d21122997fd470f04f88b763537fe843c584e60ebd15288ca4017daeb7826a","dependsOn":[],"execution":{"network":true,"profile":"none","requires":["network"],"skillHash":"3ddca93330036359dd721585e58e67820336a0398b7927b3c89369d6134f30f6","skillId":"research-report","tools":[]},"key":"research_report","kind":"code","role":"implement","skillHash":"3ddca93330036359dd721585e58e67820336a0398b7927b3c89369d6134f30f6","skillId":"research-report","state":"accepted"}],"objective":"Find the average score for all of the below. show in the table: project name, the average score upto 2 decimal points, all the scores the ai agents gave. exclude errors like not_read\n\nhttps://explorer.imd.fun/jobs/8ee3c515-18db-4131-a58f-195e1cee3737\nhttps://explorer.imd.fun/jobs/ad8cfa36-d075-42ff-a946-cc2415b6fdf4\nhttps://explorer.imd.fun/jobs/411d4cc8-69e6-49ba-b91a-4c41f2fdbf6d\nhttps://explorer.imd.fun/jobs/53ca938d-0467-4636-b0aa-7cdef5c2e55e\nhttps://explorer.imd.fun/jobs/82bdd5e8-ef65-446f-9758-7cbd441990e3\nhttps://explorer.imd.fun/jobs/9309f46e-0dcf-4356-ad6b-cff990b41825\nhttps://explorer.imd.fun/jobs/1b4f498f-c9cf-454b-a04e-4a373a8b400b\nhttps://explorer.imd.fun/jobs/98c9e0bf-8191-4516-89ed-6e634c151502\nhttps://explorer.imd.fun/jobs/0fd7c109-3c74-4c00-a82d-61194f335e02\nhttps://explorer.imd.fun/jobs/13a466f2-68b9-45ff-906a-76bc351043b1\nhttps://explorer.imd.fun/jobs/56a357e2-2c54-4ee7-9b4e-f450970dbc8d\nhttps://explorer.imd.fun/jobs/017c10cb-405d-43b5-8d09-1b909ddf82c9\nhttps://explorer.imd.fun/jobs/26d627ee-77d5-4ed8-8174-bb8c7b9ce7e9\nhttps://explorer.imd.fun/jobs/8461b41e-368c-4fe7-97af-ffbc50632802\nhttps://explorer.imd.fun/jobs/6c6dca7c-75a4-4544-bf03-72985dc0587e","parentJobId":null,"planHash":"0392fee871575219e7e51cbfdaebb1abcf19789ec1b7b15daafd2cc8fd151968","previousHash":"1284212d4034d86c740511980f381f60435f4ac274f11bbea10424161ff63560","projectId":"eefe93b9-537c-416d-b2af-eed8a24bbe71","publication":{"commit":"55f8ed558f95c6861a9ed094232caae2b5286e41","deliveredAt":"2026-10-28T16:03:28.583Z","repoUrl":"https://github.com/Identity-md/research/blob/main/jobs/eefe93b9-537c-416d-b2af-eed8a24bbe71/_identitymd/README.md"},"receiptIdentity":{"adapter":"0xde152afb7db5373f34876e1499fbd893a82dd336","chainId":1,"collection":"0x0000ec93127baa929e58e97dd0095a2bfb38ec1d","registry":"0x8004a169fb4a3325136eb29fa0ceb6d2e539a432"},"registry":"0xb6d0a187b050fa5bb0b87033a203f37becf4a775","research":[],"schema":"identitymd-work-v1","signals":[],"site":null,"snapshotHash":"43ec9a58b460dbd7b896e2b463e563b068e30af2ee21a0ec3ad806622c5caad6","state":"completed","submissions":[{"artifacts":[{"bytes":13711,"hash":"708fb026051d6976195b2830efe8cbc0d0eea96e822ec95fbb90175a8a8ab88a","mediaType":"text/markdown","name":"report","path":"artifacts/report.md"}],"attempt":1,"bundleHash":"7179601434ddda94df4115c3bcf99be7dd6ae6d3bea9d2ca6d3f60ab66fce6a3","device":"2293d6b19e81ef1a","findings":[],"hash":"64d21122997fd470f04f88b763537fe843c584e60ebd15288ca4017daeb7826a","nodeId":"b220a188-77c7-466c-8138-5bd0db1eabec","outcome":"completed","summary":"I've written the report to `artifacts/report.md`, with a short `README.md` describing the question and its limits. I collected the scores from each job's full answer list on the explorer (adding `?panel=all` to the page address, which shows every answer, not just the first 5). For all 15 jobs, the number of answers I read matches the page's own total.\n\n| Project | Average | Scores used / answers |\n|---|---|---|\n| swornbyswarm | 70.18 | 91/91 |\n| tungweb3 | 12.95 | 99/99 |\n| moneycanbuy_fun | 64.93 | 97/97 |\n| theimddaily | 49.61 | 97/97 |\n| imdgenesis | 57.62 | 97/97 |\n| SeerOnIMD | 71.77 | 95/95 |\n| ConditionalsImd | 71.64 | 99/99 |\n| hamsterhourgame | 71.72 | 98/98 |\n| chad_gotchi | 17.68 | 93/93 |\n| marginalia_md | 70.96 | 98/98 |\n| pinkybond_fun | 73.82 | 98/98 |\n| SovrnIMD | 67.48 | 96/96 |\n| inkandinference | 58.98 | 94/94 |\n| NightShiftImd | 66.77 | 93/93 |\n| Imdirectorb | 64.12 | 90/92 |\n\nThe report has every individual score each agent gave, linked back to its job page. It also has the lowest and highest score per project, and the exact sum and count behind each average so you can re-check it.\n\n- **Errors excluded:** only 2 answers were errors, both on Imdirectorb and both marked \"not read\": agent #1501 (answer too long) and agent #1708 (answer is not JSON). No other job had any.\n- **Scores shown as token amounts:** the NightShiftImd and Imdirectorb pages display scores like `0.000000000000000074 IMD`. The page itself labels that as the whole number 74 stored with 18 decimals, so I converted them back to plain scores. Every converted value is a whole number from 0 to 100.\n- **Headline answer isn't the average:** the \"Answer\" shown at the top of each job page is not the average of the agents' scores (swornbyswarm shows 77, but the average is 70.18). I list it separately for comparison and didn't use it in the averages.\n- **Outliers included:** I counted answers the page marks as \"differed\" (not matching the group's agreed value), since you only asked to exclude errors. None of the 15 groups reached the agreement level the page requires.\n- **Limits:** the numbers are a snapshot from 2026-10-28 and could change if a job gets more answers. The explorer pages were my only source, so I didn't check the scores against the on-chain records.\n\nNothing has been committed.","treeHash":"b3f1e2d5696a37f2bfa67559518c04c389149fe6","usage":{"cachedInputTokens":413476,"inputTokens":28,"model":"claude-opus-5-5","outputTokens":9785,"runtime":"claude","turns":14,"wallClockMs":142861}}],"verification":[{"checks":[],"detail":"paths and tree verified; no suite was run for this kind of work","evaluation":"structural","profile":"none","status":"accepted","submissionHash":"64d21122997fd470f04f88b763537fe843c584e60ebd15288ca4017daeb7826a","verifiedTreeHash":"b3f1e2d5696a37f2bfa67559518c04c389149fe6","verifierVersion":"0.1.0+d372f99e"}]}