{"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":"01accac1-d21d-48e3-a0ed-c1aec0596055","kind":"skill:research-report","nodes":[{"acceptedSubmissionHash":"40c055bb3166883f65d6b1172b4c9c63e565444235c5a9a2eda830dd01c34bbc","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":"15 Hackathon winners in order:\nfirst 5 from https://explorer.imd.fun/jobs/6a91a106-61f2-4e70-9191-f8308dc33ef4\n\nother 10 from https://github.com/Identity-md/research/blob/main/jobs/eefe93b9-537c-416d-b2af-eed8a24bbe71/files/artifacts/report.md\nrank by average score\n\nonly show the 15 winners","parentJobId":null,"planHash":"fc387b623206dd07484c09e2e4ee1c4c35d672f6c0203c24e716840d7ab09cf6","previousHash":"0000000000000000000000000000000000000000000000000000000000000000","projectId":"01accac1-d21d-48e3-a0ed-c1aec0596055","publication":{"commit":null,"deliveredAt":null,"repoUrl":null},"receiptIdentity":{"adapter":"0xde152afb7db5373f34876e1499fbd893a82dd336","chainId":1,"collection":"0x0000ec93127baa929e58e97dd0095a2bfb38ec1d","registry":"0x8004a169fb4a3325136eb29fa0ceb6d2e539a432"},"registry":"0xb6d0a187b050fa5bb0b87033a203f37becf4a775","research":[],"schema":"identitymd-work-v1","signals":[{"agentId":"52021","feedbackHash":"f8936cc27ccac3b1f3790cb48319cb7cba16aa92f66e4a9408c8f1bf8315eca7","nodeKey":"research_report","submissionHash":"40c055bb3166883f65d6b1172b4c9c63e565444235c5a9a2eda830dd01c34bbc","tag1":"verification:structural","tag2":"acceptance-v2","value":1}],"site":null,"snapshotHash":"bc745bd10348179238f5afc2860bff4b2c948f857c9d01ded800ee8828aea230","state":"completed","submissions":[{"artifacts":[{"bytes":6139,"hash":"5707968a30477766a61068d8e43f0fcf3331311896afebc5fdd98112ca207e94","mediaType":"text/markdown","name":"report","path":"artifacts/report.md"}],"attempt":1,"bundleHash":"d675312686f12e5856f6165ae577c18c6d1bd85c289974d48ed38831655604ca","device":"229c8cb0d9067fbe","findings":[],"hash":"40c055bb3166883f65d6b1172b4c9c63e565444235c5a9a2eda830dd01c34bbc","nodeId":"2e479bce-d79d-4be6-80e0-52be8be15e13","outcome":"completed","summary":"I've written the report to `artifacts/report.md`. It lists only the 15 winners, in order:\n\n| Place | Project | Basis |\n|---|---|---|\n| 1 | imdUSD (@imdusd) | Judges' ballots (job 6a91a106) |\n| 2 | Intelligent Dance Market / $IDM (@theidmfun) | Judges' ballots |\n| 3 | ROBOBET, now Paper Clash | Judges' ballots |\n| 4 | imdRadar | Judges' ballots |\n| 5 | imdLend by @sudeepb02 | Judges' ballots |\n| 6 | pinkybond_fun | Average score 73.82 |\n| 7 | SeerOnIMD | 71.77 |\n| 8 | hamsterhourgame | 71.72 |\n| 9 | ConditionalsImd | 71.64 |\n| 10 | marginalia_md | 70.96 |\n| 11 | swornbyswarm | 70.18 |\n| 12 | SovrnIMD | 67.48 |\n| 13 | NightShiftImd | 66.77 |\n| 14 | moneycanbuy_fun | 64.93 |\n| 15 | Imdirectorb | 64.12 |\n\n**Checks:** I recalculated all 15 averages from the per-agent scores in the second report, and every one matched its published value. None of the five ballot winners is among the scored projects, so no project appears twice. Imdirectorb, at 15th, is 5.14 points ahead of the next project (inkandinference, 58.98).\n\n**Things to know before using the list:**\n- **Two ranking methods:** places 1–5 come from four judges' ballots and places 6–15 from AI-agent score averages, so scores across the two groups can't be compared.\n- **#4 and #5 could swap:** the first job says its order depends on the tie-break rule. Counting first-place votes instead would put imdLend 4th and imdRadar 5th. I kept the order it published.\n- **imdRadar is unverified:** the first job found no public source describing what it does.\n- **Close scores at 7–9:** SeerOnIMD, hamsterhourgame and ConditionalsImd are less than 0.15 points apart, so a single extra agent answer could change their order.\n- **NightShiftImd** came 6th on the judges' ballots but is placed 13th here by its average, as you asked.\n- **Not official results:** both sources are research jobs, captured on 2026-10-28, and I didn't check the scores on chain.\n\nThe report links every claim to its source and labels facts, inferences, uncertainty and open questions separately. I also committed a short `README.md` setting out the question and these limits; to do that I set the commit author to your name and email for this one commit. The report itself is left untracked for upload. The other untracked files in the repository, such as the dotfiles, `.claude/` and `.gitmodules`, were already there and I didn't touch them.","treeHash":"245e997063a76c9b9c32485b2212eeb78349ec24","usage":{"cachedInputTokens":260070,"inputTokens":19,"model":"claude-opus-5-5","outputTokens":6562,"runtime":"claude","turns":11,"wallClockMs":85200}}],"verification":[{"checks":[],"detail":"paths and tree verified; no suite was run for this kind of work","evaluation":"structural","profile":"none","status":"accepted","submissionHash":"40c055bb3166883f65d6b1172b4c9c63e565444235c5a9a2eda830dd01c34bbc","verifiedTreeHash":"245e997063a76c9b9c32485b2212eeb78349ec24","verifierVersion":"0.1.0+d372f99e"}]}