{"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":"8360fd1a-4817-4abc-9276-8d66eb2cebff","kind":"shape:dag","nodes":[{"acceptedSubmissionHash":"98cba3862e908070805ae38b71a6e3d688465dacace1e86ea575df1fc511523d","dependsOn":[],"execution":{"network":false,"profile":"none","requires":["tool:image"],"skillHash":"5d03063b61ac97305037dcc381f9b04bdcabad711a3ffa1e4631526684bc781b","skillId":"create-image","tools":["image"]},"key":"background","kind":"code","role":"implement","skillHash":"5d03063b61ac97305037dcc381f9b04bdcabad711a3ffa1e4631526684bc781b","skillId":"create-image","state":"accepted"},{"acceptedSubmissionHash":"90f39836211c35383d3a4a7209a4a70d2032dd759ab3d127014987987943ee32","dependsOn":[],"execution":{"network":false,"profile":"none","requires":["tool:image"],"skillHash":"5d03063b61ac97305037dcc381f9b04bdcabad711a3ffa1e4631526684bc781b","skillId":"create-image","tools":["image"]},"key":"character","kind":"code","role":"implement","skillHash":"5d03063b61ac97305037dcc381f9b04bdcabad711a3ffa1e4631526684bc781b","skillId":"create-image","state":"accepted"},{"acceptedSubmissionHash":"dfca8797e3872fd7d3413666ef69e6d542febde901b40c9dbed01ce47181efb7","dependsOn":[],"execution":{"network":false,"profile":"none","requires":["tool:image"],"skillHash":"5d03063b61ac97305037dcc381f9b04bdcabad711a3ffa1e4631526684bc781b","skillId":"create-image","tools":["image"]},"key":"coat","kind":"code","role":"implement","skillHash":"5d03063b61ac97305037dcc381f9b04bdcabad711a3ffa1e4631526684bc781b","skillId":"create-image","state":"accepted"},{"acceptedSubmissionHash":"a660c2e9c3cf80472169df6bbdb3d562253f7b3266f652275f59b5ddecd99f96","dependsOn":["background","character","lens","coat"],"execution":{"network":false,"profile":"none","requires":["tool:image"],"skillHash":"5d03063b61ac97305037dcc381f9b04bdcabad711a3ffa1e4631526684bc781b","skillId":"create-image","tools":["image"]},"key":"final","kind":"code","role":"implement","skillHash":"5d03063b61ac97305037dcc381f9b04bdcabad711a3ffa1e4631526684bc781b","skillId":"create-image","state":"accepted"},{"acceptedSubmissionHash":"7121876635f38440d8a7385500e8d0acd26fa183948c3898102ed4123b32a16b","dependsOn":[],"execution":{"network":false,"profile":"none","requires":["tool:image"],"skillHash":"5d03063b61ac97305037dcc381f9b04bdcabad711a3ffa1e4631526684bc781b","skillId":"create-image","tools":["image"]},"key":"lens","kind":"code","role":"implement","skillHash":"5d03063b61ac97305037dcc381f9b04bdcabad711a3ffa1e4631526684bc781b","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 #164: 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":"118d0fed7d14ffc47159651cb7c42a84e3fe2b89de8aa97b8ec47786d613096a","previousHash":"0000000000000000000000000000000000000000000000000000000000000000","projectId":"8360fd1a-4817-4abc-9276-8d66eb2cebff","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":"51150","feedbackHash":"4b0a72fa5340f927114bcb4531f618b2cf4073a3773032cf911183a5396e94c2","nodeKey":"background","submissionHash":"98cba3862e908070805ae38b71a6e3d688465dacace1e86ea575df1fc511523d","tag1":"verification:structural","tag2":"acceptance-v2","value":1},{"agentId":"51099","feedbackHash":"452be216a3429b1a8789ea4bb53711d3c7895c4af794534feeed2284ce96077a","nodeKey":"character","submissionHash":"90f39836211c35383d3a4a7209a4a70d2032dd759ab3d127014987987943ee32","tag1":"verification:structural","tag2":"acceptance-v2","value":1},{"agentId":"51192","feedbackHash":"c6b033b9f82e883e8fbc12fd25b645aecbccf87c32124cb79161046f24a3ed06","nodeKey":"coat","submissionHash":"dfca8797e3872fd7d3413666ef69e6d542febde901b40c9dbed01ce47181efb7","tag1":"verification:structural","tag2":"acceptance-v2","value":1},{"agentId":"50962","feedbackHash":"0d9172e5a318caeefb305b22c61efa0548d43bac739a31f53752c4926ea1d650","nodeKey":"final","submissionHash":"a660c2e9c3cf80472169df6bbdb3d562253f7b3266f652275f59b5ddecd99f96","tag1":"verification:structural","tag2":"acceptance-v2","value":1},{"agentId":"53906","feedbackHash":"22233a1ea588dc7eb29fb560dab2a16d0524066039cb66a06262a9baf1df8de9","nodeKey":"lens","submissionHash":"7121876635f38440d8a7385500e8d0acd26fa183948c3898102ed4123b32a16b","tag1":"verification:structural","tag2":"acceptance-v2","value":1}],"site":null,"snapshotHash":"350f0c007180ee06e82c8aac9bd894ab5d0205b37b9e180473aa329629d87387","state":"completed","submissions":[{"artifacts":[{"bytes":190,"hash":"dc0d7cf3cd48bf426cc543ef46bdca9fc6f205fd6c4a0dfc8e8769493a5cf5d5","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":"6e1587ffa91ea90b","findings":[],"hash":"7121876635f38440d8a7385500e8d0acd26fa183948c3898102ed4123b32a16b","nodeId":"94808d57-2c76-4f0d-87dd-8d6103d7d43f","outcome":"completed","summary":"Selected **Green (eye 0)** for its vivid palette and lowest collection count.\n\n- [fren.png](artifacts/3-lens/fren.png): validated 672×672 PNG.\n- [pick.json](artifacts/3-lens/pick.json): records the choice and rationale.\n- [README.md](artifacts/3-lens/README.md): validation details.\n\nAll three previews visually reviewed. No unmet visual requirements. Files left untracked.\n\nNot delivered: artifacts/3-lens/README.md. Under artifacts/, only this step's named outputs leave the machine.","treeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","usage":{"cachedInputTokens":92416,"inputTokens":11283,"model":"gpt-6.1-sol","outputTokens":1389,"runtime":"codex","turns":3,"wallClockMs":42074}},{"artifacts":[{"bytes":222,"hash":"8af72a08b615f7773ef7e22c19b750db48fbcd1718ba81515962d9ffe9df3ff7","mediaType":"application/json","name":"pick","path":"artifacts/2-character/pick.json"},{"bytes":5929,"hash":"7768d0d6c9d97c92d4698f46d9721aadaf202143b2fd2337603143aebaaacc26","mediaType":"image/png","name":"fren","path":"artifacts/2-character/fren.png"}],"attempt":1,"bundleHash":null,"device":"4ba44f3d5ab7b010","findings":[],"hash":"90f39836211c35383d3a4a7209a4a70d2032dd759ab3d127014987987943ee32","nodeId":"d9151b9e-1841-4a77-a59f-e3d4cdaaf6c2","outcome":"completed","summary":"Selected Cyborg Pepe (0) with Cooked (8), a distinctive frazzled expression with a collection count of 22.\n\nSaved `pick.json` and `fren.png` in `artifacts/2-character/`. Visually reviewed and validated the 672×672 PNG. No unmet visual requirements; outputs remain untracked.\n\nNot delivered: artifacts/2-character/README.md. Under artifacts/, only this step's named outputs leave the machine.","treeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","usage":{"cachedInputTokens":143744,"inputTokens":17117,"model":null,"outputTokens":1777,"runtime":"codex","turns":3,"wallClockMs":39882}},{"artifacts":[{"bytes":216,"hash":"6ca075ca4623247a00ea4ee61aa2314a9764d214568cb8981870d1e6df120131","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":"4a019e19ac096894","findings":[],"hash":"98cba3862e908070805ae38b71a6e3d688465dacace1e86ea575df1fc511523d","nodeId":"8b618bd7-e1ea-4162-9b0a-d227b65f2c64","outcome":"completed","summary":"Selected **5 — Messy Lab Red** for its contrast and lower collection count.\n\nCreated `fren.png`, `pick.json`, and `README.md` in `artifacts/1-background/`. Validated the 672×672 PNG and pick JSON. No unmet visual requirements.\n\nNot delivered: artifacts/1-background/README.md. Under artifacts/, only this step's named outputs leave the machine.","treeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","usage":{"cachedInputTokens":149248,"inputTokens":20303,"model":null,"outputTokens":1973,"runtime":"codex","turns":3,"wallClockMs":49901}},{"artifacts":[{"bytes":240,"hash":"a78f2539353ca4ddedbac66065ca7735ee46e11194485b7deb48b845c26dbacc","mediaType":"application/json","name":"pick","path":"artifacts/5-final/pick.json"},{"bytes":5925,"hash":"35d2ade092e62b925f4682fb4a92014afa8cc0c8cb5da8b80ddbd29db141bcd4","mediaType":"image/png","name":"fren","path":"artifacts/5-final/fren.png"}],"attempt":1,"bundleHash":null,"device":"3f6a9bdd601cb99f","findings":[],"hash":"a660c2e9c3cf80472169df6bbdb3d562253f7b3266f652275f59b5ddecd99f96","nodeId":"2343f42d-80d2-4ec0-96dd-40137a4d3f78","outcome":"completed","summary":"Selected hat **None (0)** and item **Magnifier (4)**.\n\nSaved in `artifacts/5-final/`:\n\n- `pick.json`\n- `fren.png` — validated PNG, 672 × 672\n- `README.md` — source, review, and validation details\n\nNo unmet visual requirements.\n\nNot delivered: artifacts/5-final/README.md. Under artifacts/, only this step's named outputs leave the machine.","treeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","usage":{"cachedInputTokens":90112,"inputTokens":28002,"model":"gpt-6.1-sol","outputTokens":1666,"runtime":"codex","turns":3,"wallClockMs":49586}},{"artifacts":[{"bytes":207,"hash":"cacc55ca949898001d062818cb8f1137742f9fd7990744b7b1e5ecd9b895402b","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":"4eb5b0156b09157c","findings":[],"hash":"dfca8797e3872fd7d3413666ef69e6d542febde901b40c9dbed01ce47181efb7","nodeId":"4e0fa44a-3661-460a-bda4-494eb78eb730","outcome":"completed","summary":"Chosen: White coat (0), Orange shirt (4).\n\n- [fren.png](artifacts/4-coat/fren.png) — verified 672×672 PNG.\n- [pick.json](artifacts/4-coat/pick.json) — saved valid trait choices.\n- [README.md](artifacts/4-coat/README.md) — records review and image details.\n\nUnmet visual requirements: none.\n\nNot delivered: artifacts/4-coat/README.md. Under artifacts/, only this step's named outputs leave the machine.","treeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","usage":{"cachedInputTokens":75392,"inputTokens":13172,"model":null,"outputTokens":1660,"runtime":"codex","turns":3,"wallClockMs":48667}}],"verification":[{"checks":[],"detail":"paths and tree verified; no suite was run for this kind of work","evaluation":"structural","profile":"none","status":"accepted","submissionHash":"7121876635f38440d8a7385500e8d0acd26fa183948c3898102ed4123b32a16b","verifiedTreeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","verifierVersion":"0.1.0+8fbf00a5"},{"checks":[],"detail":"paths and tree verified; no suite was run for this kind of work","evaluation":"structural","profile":"none","status":"accepted","submissionHash":"90f39836211c35383d3a4a7209a4a70d2032dd759ab3d127014987987943ee32","verifiedTreeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","verifierVersion":"0.1.0+8fbf00a5"},{"checks":[],"detail":"paths and tree verified; no suite was run for this kind of work","evaluation":"structural","profile":"none","status":"accepted","submissionHash":"98cba3862e908070805ae38b71a6e3d688465dacace1e86ea575df1fc511523d","verifiedTreeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","verifierVersion":"0.1.0+8fbf00a5"},{"checks":[],"detail":"paths and tree verified; no suite was run for this kind of work","evaluation":"structural","profile":"none","status":"accepted","submissionHash":"a660c2e9c3cf80472169df6bbdb3d562253f7b3266f652275f59b5ddecd99f96","verifiedTreeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","verifierVersion":"0.1.0+8fbf00a5"},{"checks":[],"detail":"paths and tree verified; no suite was run for this kind of work","evaluation":"structural","profile":"none","status":"accepted","submissionHash":"dfca8797e3872fd7d3413666ef69e6d542febde901b40c9dbed01ce47181efb7","verifiedTreeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","verifierVersion":"0.1.0+8fbf00a5"}]}