{"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":"76a24bd8-f3ea-4651-8ac5-f1136a7a7278","kind":"shape:dag","nodes":[{"acceptedSubmissionHash":"72b3062663a1c3f806b7f9e73dedb1607d09be41d11f1f36dc0b929ed87add5f","dependsOn":[],"execution":{"network":false,"profile":"none","requires":["tool:image"],"skillHash":"8c1ef62991fc3d0551721b4281ae1aec6f8f2232ec22e060aa46bb30a8c523a3","skillId":"create-image","tools":["image"]},"key":"background","kind":"code","role":"implement","skillHash":"8c1ef62991fc3d0551721b4281ae1aec6f8f2232ec22e060aa46bb30a8c523a3","skillId":"create-image","state":"accepted"},{"acceptedSubmissionHash":"1f2e2016f31e434d70c7c1286c0f79eeaa813c7d7aec10f60b24fe482a3bb1d3","dependsOn":[],"execution":{"network":false,"profile":"none","requires":["tool:image"],"skillHash":"8c1ef62991fc3d0551721b4281ae1aec6f8f2232ec22e060aa46bb30a8c523a3","skillId":"create-image","tools":["image"]},"key":"character","kind":"code","role":"implement","skillHash":"8c1ef62991fc3d0551721b4281ae1aec6f8f2232ec22e060aa46bb30a8c523a3","skillId":"create-image","state":"accepted"},{"acceptedSubmissionHash":"4931da2e8e876b624a899d65b46cd42a63ce1351c04162d86d38b6af1d484e5e","dependsOn":[],"execution":{"network":false,"profile":"none","requires":["tool:image"],"skillHash":"8c1ef62991fc3d0551721b4281ae1aec6f8f2232ec22e060aa46bb30a8c523a3","skillId":"create-image","tools":["image"]},"key":"coat","kind":"code","role":"implement","skillHash":"8c1ef62991fc3d0551721b4281ae1aec6f8f2232ec22e060aa46bb30a8c523a3","skillId":"create-image","state":"accepted"},{"acceptedSubmissionHash":"79f7c39db0598c68ed12a25e6d8ab6afa618586c2fc0171bd3228e003e332a63","dependsOn":["background","character","lens","coat"],"execution":{"network":false,"profile":"none","requires":["tool:image"],"skillHash":"8c1ef62991fc3d0551721b4281ae1aec6f8f2232ec22e060aa46bb30a8c523a3","skillId":"create-image","tools":["image"]},"key":"final","kind":"code","role":"implement","skillHash":"8c1ef62991fc3d0551721b4281ae1aec6f8f2232ec22e060aa46bb30a8c523a3","skillId":"create-image","state":"accepted"},{"acceptedSubmissionHash":"b7b91faebe809c865e193d68fa878d7e7ae902b7dbe24937a18c2db799bf852b","dependsOn":[],"execution":{"network":false,"profile":"none","requires":["tool:image"],"skillHash":"8c1ef62991fc3d0551721b4281ae1aec6f8f2232ec22e060aa46bb30a8c523a3","skillId":"create-image","tools":["image"]},"key":"lens","kind":"code","role":"implement","skillHash":"8c1ef62991fc3d0551721b4281ae1aec6f8f2232ec22e060aa46bb30a8c523a3","skillId":"create-image","state":"accepted"}],"objective":"Five agents build 4 Worker Frens side by side, one layer each: background; character and face; eye lens; coat and shirt; hat and item. Worker Frens are 2222 pixel-art cyborg pepes in lab coats, with rare mumus and bobos, drawn fully on chain on Ethereum (imd6900.pages.dev). This job is mint request #83: 4 frens were minted, unrevealed, and what the minter's bag held (tier 3 of 3) decides which traits are offered. When the job is done, the relayer puts the 4 frens together from the five picks, checks them on chain and signs a voucher, and they reveal on chain as built here. Each step: choose your layer by taste from the options offered, keep every pick inside them, write your pick.json.","parentJobId":null,"planHash":"329c1060237d7acaab05a5022abad1b3eae97447b26f95c738bb33fa526b070e","previousHash":"0000000000000000000000000000000000000000000000000000000000000000","projectId":"76a24bd8-f3ea-4651-8ac5-f1136a7a7278","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":"51347","feedbackHash":"d29431c47d32c13684748220d7df374edb69d9e9a7a87d17e739a3f32e2e63c9","nodeKey":"background","submissionHash":"72b3062663a1c3f806b7f9e73dedb1607d09be41d11f1f36dc0b929ed87add5f","tag1":"verification:structural","tag2":"acceptance-v2","value":1},{"agentId":"52019","feedbackHash":"2b67d55a70e776066221948ddf7dccf99106595552d6f757685f65a541af4274","nodeKey":"character","submissionHash":"1f2e2016f31e434d70c7c1286c0f79eeaa813c7d7aec10f60b24fe482a3bb1d3","tag1":"verification:structural","tag2":"acceptance-v2","value":1},{"agentId":"51407","feedbackHash":"f013ee10604945ad8017c79c00e0d998f0fe5bffd85b0ab8e88244f52e082a96","nodeKey":"coat","submissionHash":"4931da2e8e876b624a899d65b46cd42a63ce1351c04162d86d38b6af1d484e5e","tag1":"verification:structural","tag2":"acceptance-v2","value":1},{"agentId":"52282","feedbackHash":"e622d7ca510fc96ba6b50f71937c4f2e1e5c672f0f18edef8cef30240ded73e6","nodeKey":"final","submissionHash":"79f7c39db0598c68ed12a25e6d8ab6afa618586c2fc0171bd3228e003e332a63","tag1":"verification:structural","tag2":"acceptance-v2","value":1},{"agentId":"52094","feedbackHash":"becc62cff52d14e482eff711180193f3c0300b532753d27ca167e44894c9c3a6","nodeKey":"lens","submissionHash":"b7b91faebe809c865e193d68fa878d7e7ae902b7dbe24937a18c2db799bf852b","tag1":"verification:structural","tag2":"acceptance-v2","value":1}],"site":null,"snapshotHash":"a83e308e1b5c0abf571702971462f812a558e90844b10e00ff01cfe0cd25bb65","state":"completed","submissions":[{"artifacts":[{"bytes":369,"hash":"485658cadcbd6ee1920aad5386f2a01d56445b258e5fc66babefb0b09921f0c8","mediaType":"application/json","name":"pick","path":"artifacts/2-character/pick.json"},{"bytes":6103,"hash":"68f9b6460671e2391df18b950d2b947a153d6e2aa3b4fe263c93aa2b6591db3b","mediaType":"image/png","name":"fren","path":"artifacts/2-character/fren.png"}],"attempt":1,"bundleHash":null,"device":"be3be4cc237417f9","findings":[],"hash":"1f2e2016f31e434d70c7c1286c0f79eeaa813c7d7aec10f60b24fe482a3bb1d3","nodeId":"eadba6f1-3456-441d-9d93-1b91ce96cc58","outcome":"completed","summary":"I've picked the character and face for all 4 frens and written `pick.json` and `fren.png` to `artifacts/2-character/`. They are left uncommitted, as the brief asked.\n\n| Fren | Character | Face |\n|---|---|---|\n| 1 | 1 Mumu | 10 Special |\n| 2 | 2 Bobo | 4 Grinding |\n| 3 | 0 Cyborg Pepe | 12 Laser Eyes |\n| 4 | 0 Cyborg Pepe | 0 Classic |\n\n- **How I spread them:** all three characters are used. Cyborg Pepe gets the second slot because the collection has the fewest of it (60). The four faces are all different and each is among the less common ones.\n- **Checks:** I looked up each fren's traits on the art server, and the names came back as intended. Every value is one of the options offered. Laser Eyes is the only one with a limit (42 left), and it is used once.\n- **`fren.png`:** this is fren 1 (Mumu with the Special face) as the art server draws it. It is a 672×672 PNG with the other layers at 0, so it shows the default eye, coat, background and so on. The real fren will look different once the other agents' picks are added.\n- **`pick.json`:** has the four picks in order with a one-sentence reason, and it parses as valid JSON.\n\nThe local image tool (ffmpeg) wouldn't start, so I couldn't build a side-by-side comparison sheet. I opened the candidate images one by one instead, which doesn't affect the outputs.\n\nI also added a short `README.md` in the same folder recording the picks, image size and format, and that no visual requirements are unmet.","treeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","usage":{"cachedInputTokens":180144,"inputTokens":14,"model":"claude-opus-5-5","outputTokens":3167,"runtime":"claude","turns":10,"wallClockMs":45314}},{"artifacts":[{"bytes":380,"hash":"b250b2a3d4060fe050194bd4aa8749358f70ea84c59ae3f52d2890b93777d83b","mediaType":"application/json","name":"pick","path":"artifacts/4-coat/pick.json"},{"bytes":5727,"hash":"6080c609df75b72d93d97e9d554455c13a1f23a04792f7aef93a16a700df4815","mediaType":"image/png","name":"fren","path":"artifacts/4-coat/fren.png"}],"attempt":1,"bundleHash":null,"device":"06cf148faa51546b","findings":[],"hash":"4931da2e8e876b624a899d65b46cd42a63ce1351c04162d86d38b6af1d484e5e","nodeId":"76353c8d-7b85-4cc4-86b4-1162d12d17cf","outcome":"completed","summary":"Completed the four picks:\n\n1. White coat, blue shirt\n2. Black coat, red shirt\n3. Gold coat, green shirt\n4. Black coat, purple shirt\n\nSaved [pick.json](/home/imd-worker/.identitymd/work/76a24bd8-f3ea-4651-8ac5-f1136a7a7278/76353c8d-7b85-4cc4-86b4-1162d12d17cf/artifacts/4-coat/pick.json) and fren 1’s [672 × 672 PNG](/home/imd-worker/.identitymd/work/76a24bd8-f3ea-4651-8ac5-f1136a7a7278/76353c8d-7b85-4cc4-86b4-1162d12d17cf/artifacts/4-coat/fren.png). [README.md](/home/imd-worker/.identitymd/work/76a24bd8-f3ea-4651-8ac5-f1136a7a7278/76353c8d-7b85-4cc4-86b4-1162d12d17cf/artifacts/4-coat/README.md) records the dimensions, format, and that no visual requirements were unmet. Verified the PNG metadata and all four pick values.","treeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","usage":{"cachedInputTokens":158592,"inputTokens":30667,"model":"gpt-6-luna","outputTokens":6919,"runtime":"codex","turns":3,"wallClockMs":79367}},{"artifacts":[{"bytes":329,"hash":"67656f43222d37f49874a4acb2da1032eb694b4f5beeb3279f081612a76ca1d7","mediaType":"application/json","name":"pick","path":"artifacts/1-background/pick.json"},{"bytes":6378,"hash":"9256a18386d38f718471d18f4a068a6047dba137d9254ad0edfb44e87a5d0ef0","mediaType":"image/png","name":"fren","path":"artifacts/1-background/fren.png"}],"attempt":1,"bundleHash":null,"device":"af9a875696459139","findings":[],"hash":"72b3062663a1c3f806b7f9e73dedb1607d09be41d11f1f36dc0b929ed87add5f","nodeId":"ea059af7-9e58-4a15-be1e-3c778cc5cabc","outcome":"completed","summary":"I've picked a background for each of the 4 frens in mint request #83 and written both required outputs.\n\n| Fren | Background | How many the collection has |\n|---|---|---|\n| 1 | 10 Wireframe Green | 17 |\n| 2 | 1 Clean Lab Green | 10 (the fewest of all 12 options) |\n| 3 | 6 Tube Blue | 16 |\n| 4 | 5 Messy Lab Red | 16 |\n\nI chose by eye from previews of all 12 options on the classic pepe, looking closely at six of them. The four picks are all different and come from all four background families (wireframe, clean lab, tube, messy lab) in three colours. Each is one of the less common options in its family, and all four are on the offered list. None of the options has a \"left\" cap, so there was no limit on how many frens could share one.\n\n- **`artifacts/1-background/pick.json`** has the 4 picks, fren 1 first, plus the one-line `why`. It parses as valid JSON.\n- **`artifacts/1-background/fren.png`** is fren 1 on Wireframe Green with every other layer at 0 (combo 327680). It came straight from the art server: PNG, 672×672, 8-bit colormap. All visual requirements are met.\n- **`artifacts/1-background/README.md`** gives a short summary with the dimensions and format. Its one limitation: the preview shows the classic pepe, because the other agents choose the other layers.\n\nNone of the files are committed to git; the upload step delivers them.","treeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","usage":{"cachedInputTokens":129383,"inputTokens":10,"model":"claude-opus-5-5","outputTokens":2739,"runtime":"claude","turns":9,"wallClockMs":38112}},{"artifacts":[{"bytes":384,"hash":"d785490ee96048aba74d0815e520c160590cd2289fda6f5103659f61349b6f1e","mediaType":"application/json","name":"pick","path":"artifacts/5-final/pick.json"},{"bytes":6350,"hash":"416e4c4388ec74a36c44b3c6afede6de79b9b36f0bfebbeb95ba1b46d65f82ef","mediaType":"image/png","name":"fren","path":"artifacts/5-final/fren.png"}],"attempt":1,"bundleHash":null,"device":"7b7c27166477ddd8","findings":[],"hash":"79f7c39db0598c68ed12a25e6d8ab6afa618586c2fc0171bd3228e003e332a63","nodeId":"0a5104c5-1752-453d-809e-bb3494ffb9a2","outcome":"completed","summary":"Created `artifacts/5-final/pick.json` and `artifacts/5-final/fren.png`, with review notes in `README.md`.\n\nValidated all four picks against allowed values and caps, and visually inspected their previews. Fren 1’s PNG is 672×672. No unmet visual requirements; outputs remain untracked for upload.","treeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","usage":{"cachedInputTokens":301568,"inputTokens":19470,"model":null,"outputTokens":2978,"runtime":"codex","turns":3,"wallClockMs":89745}},{"artifacts":[{"bytes":238,"hash":"ac695985ef361685b378d14c04b903ad394c12ca9c80073272e33d490064251e","mediaType":"application/json","name":"pick","path":"artifacts/3-lens/pick.json"},{"bytes":5701,"hash":"f471fc87a0eb6606f3a64a8f5a2a43e3282516e8b82c6b61e918ba10c4e7c857","mediaType":"image/png","name":"fren","path":"artifacts/3-lens/fren.png"}],"attempt":1,"bundleHash":null,"device":"cd33e6f138d75a0c","findings":[],"hash":"b7b91faebe809c865e193d68fa878d7e7ae902b7dbe24937a18c2db799bf852b","nodeId":"2667a3b8-807d-4855-b338-5ee3e0a4c26f","outcome":"completed","summary":"Completed the eye lens picks: Gold (3), Red (1), Cyan (2), and Green (0), one per fren.\n\n- [pick.json](/Users/timhsia/.identitymd/work/76a24bd8-f3ea-4651-8ac5-f1136a7a7278/2667a3b8-807d-4855-b338-5ee3e0a4c26f/artifacts/3-lens/pick.json)\n- [fren.png](/Users/timhsia/.identitymd/work/76a24bd8-f3ea-4651-8ac5-f1136a7a7278/2667a3b8-807d-4855-b338-5ee3e0a4c26f/artifacts/3-lens/fren.png) — PNG, 672 × 672.\n- [README.md](/Users/timhsia/.identitymd/work/76a24bd8-f3ea-4651-8ac5-f1136a7a7278/2667a3b8-807d-4855-b338-5ee3e0a4c26f/artifacts/3-lens/README.md) records the format, dimensions, and visual review.\n\nChecked that the JSON contains four allowed, distinct eye values and the image has a valid PNG signature and expected dimensions.","treeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","usage":{"cachedInputTokens":108288,"inputTokens":10943,"model":"gpt-6-luna","outputTokens":2321,"runtime":"codex","turns":3,"wallClockMs":30349}}],"verification":[{"checks":[],"detail":"paths and tree verified; no suite was run for this kind of work","evaluation":"structural","profile":"none","status":"accepted","submissionHash":"1f2e2016f31e434d70c7c1286c0f79eeaa813c7d7aec10f60b24fe482a3bb1d3","verifiedTreeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","verifierVersion":"0.1.0+fb8278c5"},{"checks":[],"detail":"paths and tree verified; no suite was run for this kind of work","evaluation":"structural","profile":"none","status":"accepted","submissionHash":"4931da2e8e876b624a899d65b46cd42a63ce1351c04162d86d38b6af1d484e5e","verifiedTreeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","verifierVersion":"0.1.0+fb8278c5"},{"checks":[],"detail":"paths and tree verified; no suite was run for this kind of work","evaluation":"structural","profile":"none","status":"accepted","submissionHash":"72b3062663a1c3f806b7f9e73dedb1607d09be41d11f1f36dc0b929ed87add5f","verifiedTreeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","verifierVersion":"0.1.0+fb8278c5"},{"checks":[],"detail":"paths and tree verified; no suite was run for this kind of work","evaluation":"structural","profile":"none","status":"accepted","submissionHash":"79f7c39db0598c68ed12a25e6d8ab6afa618586c2fc0171bd3228e003e332a63","verifiedTreeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","verifierVersion":"0.1.0+fb8278c5"},{"checks":[],"detail":"paths and tree verified; no suite was run for this kind of work","evaluation":"structural","profile":"none","status":"accepted","submissionHash":"b7b91faebe809c865e193d68fa878d7e7ae902b7dbe24937a18c2db799bf852b","verifiedTreeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","verifierVersion":"0.1.0+fb8278c5"}]}