{"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":"b6b10ede-04fe-40ce-bd5b-af568c875264","kind":"shape:dag","nodes":[{"acceptedSubmissionHash":"1f5c828f0cd0a25f1e83e452fc033c2db901f5451028c5a43ae057adf3ff7420","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":"b303301f81f9f473e25559648826516b06e62b4f868544fcd95dd77e127a4904","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":"eeaacd8c6f4e8f95f1903b2876087ac3c505614df0d803abd799b8f346c03fe6","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":"6728d2d89eef5134860ecb01c3443eee31412ae80b4ee13f83f1c06c61cd1ca7","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":"6e35ad9bd7065424305129c794edceae1abf0fbc0affce231f008fda8fbc02e4","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 one Worker Fren 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 #146: one fren was minted, unrevealed, and what the minter's bag held (tier 0 of 3) decides which traits are offered. When the job is done, the relayer puts the fren together from the five picks, checks it on chain and signs a voucher, and it reveals 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":"0ac2398c9271fe044145b14e5d12ee6becf349f2e58936fd3c9fd104fae033b1","previousHash":"0000000000000000000000000000000000000000000000000000000000000000","projectId":"b6b10ede-04fe-40ce-bd5b-af568c875264","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":"51220","feedbackHash":"361851cbc2875f56dacab3c2518e3e766d2572af12d1b8e78d714c0437e7602c","nodeKey":"background","submissionHash":"1f5c828f0cd0a25f1e83e452fc033c2db901f5451028c5a43ae057adf3ff7420","tag1":"verification:structural","tag2":"acceptance-v2","value":1},{"agentId":"51414","feedbackHash":"28fc734c2da64d4e60527f0527946800e32a03b0116817ce62737c0ce0f1dc1d","nodeKey":"character","submissionHash":"b303301f81f9f473e25559648826516b06e62b4f868544fcd95dd77e127a4904","tag1":"verification:structural","tag2":"acceptance-v2","value":1},{"agentId":"51201","feedbackHash":"fc1127478da217fb48a5750f00bf5f54510ac55e485ec9d9e72b18a183ba2ec9","nodeKey":"coat","submissionHash":"eeaacd8c6f4e8f95f1903b2876087ac3c505614df0d803abd799b8f346c03fe6","tag1":"verification:structural","tag2":"acceptance-v2","value":1},{"agentId":"51523","feedbackHash":"a82135e32e820815f07b7a5bf634652d39de803eca0deb2c5b20a2da3a7bb25b","nodeKey":"final","submissionHash":"6728d2d89eef5134860ecb01c3443eee31412ae80b4ee13f83f1c06c61cd1ca7","tag1":"verification:structural","tag2":"acceptance-v2","value":1},{"agentId":"51525","feedbackHash":"e20bb4e39a1b95a7bfc69c5dbdc9d5523de1a1fa64871790fb282aa7352f5250","nodeKey":"lens","submissionHash":"6e35ad9bd7065424305129c794edceae1abf0fbc0affce231f008fda8fbc02e4","tag1":"verification:structural","tag2":"acceptance-v2","value":1}],"site":null,"snapshotHash":"e4595df6584a28c7f7217ac63ef7bcbac4b0dfef9511358d4c89e94f2526f3ea","state":"completed","submissions":[{"artifacts":[{"bytes":265,"hash":"f5377df0c71c69e526132bf8bb0503ed29ad3adc2f48105f16928e85263ecd7b","mediaType":"application/json","name":"pick","path":"artifacts/1-background/pick.json"},{"bytes":5928,"hash":"d0a3846d4e97195e73f68f77e01eeac75f9a8e18dbd5f1d1fb67ddde50d4bc24","mediaType":"image/png","name":"fren","path":"artifacts/1-background/fren.png"}],"attempt":1,"bundleHash":null,"device":"9d0fa5452eaa233b","findings":[],"hash":"1f5c828f0cd0a25f1e83e452fc033c2db901f5451028c5a43ae057adf3ff7420","nodeId":"fdda9977-7270-431b-94ce-77438594dcd2","outcome":"completed","summary":"Selected **5 — Messy Lab Red** for its color contrast and lower collection count.\n\nCreated `artifacts/1-background/pick.json`, `fren.png`, and `README.md`. Verified the PNG is **672 × 672** and the JSON records the allowed pick. No unmet visual requirements. Outputs remain untracked.","treeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","usage":{"cachedInputTokens":137984,"inputTokens":23844,"model":null,"outputTokens":2220,"runtime":"codex","turns":3,"wallClockMs":77080}},{"artifacts":[{"bytes":196,"hash":"9c08f3049a1a0c5468eefcd1d72c137404547b41c9a7f4406c2559d1dd8a7daf","mediaType":"application/json","name":"pick","path":"artifacts/5-final/pick.json"},{"bytes":5838,"hash":"ceb94bb200b259a1bfb7f01831892621915fe60659dc35907aa24e28cc2271cc","mediaType":"image/png","name":"fren","path":"artifacts/5-final/fren.png"}],"attempt":1,"bundleHash":null,"device":"ca720d6a84c31fdd","findings":[],"hash":"6728d2d89eef5134860ecb01c3443eee31412ae80b4ee13f83f1c06c61cd1ca7","nodeId":"5854ef49-ede1-4181-a82f-cea3ffa556ea","outcome":"completed","summary":"Completed the Step 5 deliverables.\n\n- [pick.json](artifacts/5-final/pick.json): hat `0` (None), item `10` (Drink)\n- [fren.png](artifacts/5-final/fren.png): valid 672×672 indexed-color PNG\n- [README.md](artifacts/5-final/README.md): records format, dimensions, and visual status\n\nI also visually reviewed the rendered classic Cyborg Pepe with the Drink item.","treeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","usage":{"cachedInputTokens":160896,"inputTokens":15013,"model":null,"outputTokens":3144,"runtime":"codex","turns":4,"wallClockMs":109962}},{"artifacts":[{"bytes":169,"hash":"f18eaf539c7a804435eede7129286c0904de2b0d856ccce994f45c758b1bb6b5","mediaType":"application/json","name":"pick","path":"artifacts/3-lens/pick.json"},{"bytes":5727,"hash":"6080c609df75b72d93d97e9d554455c13a1f23a04792f7aef93a16a700df4815","mediaType":"image/png","name":"fren","path":"artifacts/3-lens/fren.png"}],"attempt":1,"bundleHash":null,"device":"c2c5d7ad583481d5","findings":[],"hash":"6e35ad9bd7065424305129c794edceae1abf0fbc0affce231f008fda8fbc02e4","nodeId":"99d31fe9-02c3-4470-b7bb-9a144159133f","outcome":"completed","summary":"Delivered:\n\n- [pick.json](/home/imd-worker/.identitymd/work/b6b10ede-04fe-40ce-bd5b-af568c875264/99d31fe9-02c3-4470-b7bb-9a144159133f/artifacts/3-lens/pick.json) — selected Green eye (`0`)\n- [fren.png](/home/imd-worker/.identitymd/work/b6b10ede-04fe-40ce-bd5b-af568c875264/99d31fe9-02c3-4470-b7bb-9a144159133f/artifacts/3-lens/fren.png) — verified PNG, 672×672\n- [README.md](/home/imd-worker/.identitymd/work/b6b10ede-04fe-40ce-bd5b-af568c875264/99d31fe9-02c3-4470-b7bb-9a144159133f/artifacts/3-lens/README.md) — records format, dimensions, and visual status.","treeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","usage":{"cachedInputTokens":168064,"inputTokens":13667,"model":null,"outputTokens":2762,"runtime":"codex","turns":3,"wallClockMs":33734}},{"artifacts":[{"bytes":254,"hash":"4f319c4dfb1aa52b0d1598d0e2bebbc16ce910be4101c15bbdb76eef7702b2f6","mediaType":"application/json","name":"pick","path":"artifacts/2-character/pick.json"},{"bytes":5619,"hash":"b20f8676a2942dc3d2968e08734244f5187936d870716717cfb225f9343dbf7d","mediaType":"image/png","name":"fren","path":"artifacts/2-character/fren.png"}],"attempt":1,"bundleHash":null,"device":"9ef5559b56f3a7a2","findings":[],"hash":"b303301f81f9f473e25559648826516b06e62b4f868544fcd95dd77e127a4904","nodeId":"bb990976-9977-49f9-b088-dc314b660646","outcome":"completed","summary":"Selected **Cyborg Pepe (0), Comfy (9)** for its relaxed expression and lower collection count.\n\nCreated `artifacts/2-character/pick.json`, `fren.png`, and `README.md`. Verified the 672×672 PNG and valid selection values. No unmet visual requirements; outputs remain unstaged for daemon upload.","treeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","usage":{"cachedInputTokens":137472,"inputTokens":26028,"model":null,"outputTokens":2267,"runtime":"codex","turns":3,"wallClockMs":67486}},{"artifacts":[{"bytes":233,"hash":"a9dcacd8ad7e75a5fec4778cdbaf6c070ec8a915aaf7d4271415c69460522a13","mediaType":"application/json","name":"pick","path":"artifacts/4-coat/pick.json"},{"bytes":5913,"hash":"0dc4a93a9c2d1df93723f7ce9ea62fcf9866df325fcf5500c70dfb39d8a95fd9","mediaType":"image/png","name":"fren","path":"artifacts/4-coat/fren.png"}],"attempt":1,"bundleHash":null,"device":"9fbeb473fba88fbd","findings":[],"hash":"eeaacd8c6f4e8f95f1903b2876087ac3c505614df0d803abd799b8f346c03fe6","nodeId":"633b562c-694c-452b-ac36-0727f85583bb","outcome":"completed","summary":"I picked a **White coat (0) and an Orange shirt (4)** for fren #146.\n\nI compared four shirts (Red, Green, Black, Orange) under each coat. White is the coat the collection has fewer of (90 against 105). Orange was one of the four shirts tied for fewest (44), and I chose it by taste because it matches the pepe's orange lips and stands out against the green skin. The green shirt blends into the skin.\n\n- **`artifacts/4-coat/pick.json`** contains `{\"frens\":[{\"coat\":0,\"shirt\":4}], \"why\": ...}`, and it parses as valid JSON.\n- **`artifacts/4-coat/fren.png`** is the art server's picture for combo 4096 (my coat and shirt, every other layer at 0). It is a 672×672 PNG, which I checked with `file`. `imd-media ffprobe` failed to start on this machine, so I couldn't check it that way.\n- **`artifacts/4-coat/README.md`** notes the pick and the one limitation: the picture shows every other layer at 0, so the final fren will look different once the relayer adds the other agents' picks.\n\nThere are no unmet visual requirements. `git status` lists none of these files, so they are not tracked, as the brief requires, and the daemon can upload them.","treeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","usage":{"cachedInputTokens":105642,"inputTokens":10,"model":"claude-opus-5-5","outputTokens":1588,"runtime":"claude","turns":6,"wallClockMs":30822}}],"verification":[{"checks":[],"detail":"paths and tree verified; no suite was run for this kind of work","evaluation":"structural","profile":"none","status":"accepted","submissionHash":"1f5c828f0cd0a25f1e83e452fc033c2db901f5451028c5a43ae057adf3ff7420","verifiedTreeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","verifierVersion":"0.1.0+7ff5db2c"},{"checks":[],"detail":"paths and tree verified; no suite was run for this kind of work","evaluation":"structural","profile":"none","status":"accepted","submissionHash":"6728d2d89eef5134860ecb01c3443eee31412ae80b4ee13f83f1c06c61cd1ca7","verifiedTreeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","verifierVersion":"0.1.0+7ff5db2c"},{"checks":[],"detail":"paths and tree verified; no suite was run for this kind of work","evaluation":"structural","profile":"none","status":"accepted","submissionHash":"6e35ad9bd7065424305129c794edceae1abf0fbc0affce231f008fda8fbc02e4","verifiedTreeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","verifierVersion":"0.1.0+7ff5db2c"},{"checks":[],"detail":"paths and tree verified; no suite was run for this kind of work","evaluation":"structural","profile":"none","status":"accepted","submissionHash":"b303301f81f9f473e25559648826516b06e62b4f868544fcd95dd77e127a4904","verifiedTreeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","verifierVersion":"0.1.0+7ff5db2c"},{"checks":[],"detail":"paths and tree verified; no suite was run for this kind of work","evaluation":"structural","profile":"none","status":"accepted","submissionHash":"eeaacd8c6f4e8f95f1903b2876087ac3c505614df0d803abd799b8f346c03fe6","verifiedTreeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","verifierVersion":"0.1.0+7ff5db2c"}]}