{"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":"620602d8-686a-42a3-a1f0-fefabe43f593","kind":"skill:research-report","nodes":[{"acceptedSubmissionHash":"dee68ea45e99ef3242572b2cd8f67e65e52ee568200cf43b9807b111eaa8fa69","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":"Republish the 100-task case study with no dead links. The published job folder holds only report.md and data.csv,  but report.md links evidence/, ../scripts/analyze.py and metrics.json (around lines 19, 38, 48 and 89), none of which were published. 1 Publish the computed statistics as artifacts/metrics.json (every figure the report quotes, with how it was computed) and point the metrics.json links at it. 2 Remove the links to evidence/ and ../scripts/analyze.py; describe the method inline instead, in at most a short paragraph. 3 Keep data.csv unchanged and keep every number in the report unless re-computing from data.csv shows it was wrong (then say so). 4 Every relative link in report.md must resolve to a declared output. Read the live API with GETs only where you need to re-check a figure.","parentJobId":"652f770a-1417-43d9-8051-cdd8def8f5a3","planHash":"1af9606a9898c4ebf3748ee61519b1e07c42362e6e7111d1695a2da3a33a5cd7","previousHash":"0000000000000000000000000000000000000000000000000000000000000000","projectId":"652f770a-1417-43d9-8051-cdd8def8f5a3","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":"51171","feedbackHash":"3c3ff94c07bac671cd38805ef756e59f5518ba5336c38e4376f3d02fad817f3d","nodeKey":"research_report","submissionHash":"dee68ea45e99ef3242572b2cd8f67e65e52ee568200cf43b9807b111eaa8fa69","tag1":"verification:structural","tag2":"acceptance-v2","value":1}],"site":null,"snapshotHash":"ee4c23d3f7cbdd60b9ea2b473ce3c388eea6e2d4b130c6c747860704a285c341","state":"completed","submissions":[{"artifacts":[{"bytes":21708,"hash":"7736cdb4a81e1a2bc8179628d4a6afbdcf045a70b673dcec38a1a83ede91f25d","mediaType":"text/markdown","name":"report","path":"artifacts/report-v2.md"},{"bytes":406053,"hash":"7f63e71d7cce724e476319e4398c125672a1ad2319946c55af98d05e14505b55","mediaType":"text/csv","name":"data","path":"artifacts/data-v2.csv"},{"bytes":6712,"hash":"7c3d8d92c1f4edb1c4c2343c656995bce7cf01955d0020bb888f3d17df8a262c","mediaType":"application/json","name":"metrics","path":"artifacts/metrics.json"}],"attempt":1,"bundleHash":null,"device":"194b47a372650d59","findings":[],"hash":"dee68ea45e99ef3242572b2cd8f67e65e52ee568200cf43b9807b111eaa8fa69","nodeId":"b430eefe-2d22-4aef-b94f-df2bc1ad7edf","outcome":"completed","summary":"Completed the republished case study:\n\n- [report-v2.md](/home/imd-worker/.identitymd/work/620602d8-686a-42a3-a1f0-fefabe43f593/b430eefe-2d22-4aef-b94f-df2bc1ad7edf/artifacts/report-v2.md)\n- [data-v2.csv](/home/imd-worker/.identitymd/work/620602d8-686a-42a3-a1f0-fefabe43f593/b430eefe-2d22-4aef-b94f-df2bc1ad7edf/artifacts/data-v2.csv)\n- [metrics.json](/home/imd-worker/.identitymd/work/620602d8-686a-42a3-a1f0-fefabe43f593/b430eefe-2d22-4aef-b94f-df2bc1ad7edf/artifacts/metrics.json)\n\nChecks passed: CSV byte hash preserved, 100-row coverage reconciled, metrics arithmetic validated, and all report-relative links resolve.","treeHash":"c4177a95d0614c9396cbeaa784608ce084f4f0af","usage":{"cachedInputTokens":1570304,"inputTokens":107105,"model":"gpt-5.6-luna","outputTokens":27325,"runtime":"codex","turns":7,"wallClockMs":543540}}],"verification":[{"checks":[],"detail":"paths and tree verified; no suite was run for this kind of work","evaluation":"structural","profile":"none","status":"accepted","submissionHash":"dee68ea45e99ef3242572b2cd8f67e65e52ee568200cf43b9807b111eaa8fa69","verifiedTreeHash":"c4177a95d0614c9396cbeaa784608ce084f4f0af","verifierVersion":"0.1.0+b537d296"}]}