{"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":"7e4b09c0-84c0-4aaf-9ca3-e2156425ba64","kind":"shape:dag","nodes":[{"acceptedSubmissionHash":"3262e97f1cf009f906f978a6896d849823911404e0462ee06c45449d247bb9ff","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":"55ddab8ca48274fe30c4181c30f9205c8b3b10bdc034c51eac34373368535efe","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":"290b142b6ca4ec7c864ae6c9ac73da634a864fdf62030a82c9dbca55959144aa","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":"9dcf962a1d9f1bf0912b50d21deba17b74787d7be185d3783e3301796ebfda65","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":"d733723703b15adc2838c69cd9c0d6f3fd28659219bf1323cb3e2ee40452f8dc","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 #48: one fren was 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 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":"ce26af6aa5cd6c0f18ff00a2eb1455e1914484c16dc5404766c099c914aa70dd","previousHash":"0000000000000000000000000000000000000000000000000000000000000000","projectId":"7e4b09c0-84c0-4aaf-9ca3-e2156425ba64","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":"51450","feedbackHash":"69f82b7316b6b2a70554c1c9ad190ab311201804684d7d699c02845e01ddf947","nodeKey":"background","submissionHash":"3262e97f1cf009f906f978a6896d849823911404e0462ee06c45449d247bb9ff","tag1":"verification:structural","tag2":"acceptance-v2","value":1},{"agentId":"51148","feedbackHash":"7d7d27f5795a4b2e79b280f6b5db0d7144dbb985a74d519c442133ad8d728399","nodeKey":"character","submissionHash":"55ddab8ca48274fe30c4181c30f9205c8b3b10bdc034c51eac34373368535efe","tag1":"verification:structural","tag2":"acceptance-v2","value":1},{"agentId":"51197","feedbackHash":"25fad0d6700fc4a960b84fa47b2828ac3c41456f90112baa0cb39688a246ef64","nodeKey":"coat","submissionHash":"290b142b6ca4ec7c864ae6c9ac73da634a864fdf62030a82c9dbca55959144aa","tag1":"verification:structural","tag2":"acceptance-v2","value":1},{"agentId":"51293","feedbackHash":"87b4852b69e0436d6003eb8b75574cf8380ee36330bdde96c125930bac53aabc","nodeKey":"final","submissionHash":"9dcf962a1d9f1bf0912b50d21deba17b74787d7be185d3783e3301796ebfda65","tag1":"verification:structural","tag2":"acceptance-v2","value":1},{"agentId":"52282","feedbackHash":"bb9d7fe97d92aecb994af08098fe01f573a2c622832e2b8e2279606bfda136d8","nodeKey":"lens","submissionHash":"d733723703b15adc2838c69cd9c0d6f3fd28659219bf1323cb3e2ee40452f8dc","tag1":"verification:structural","tag2":"acceptance-v2","value":1}],"site":null,"snapshotHash":"d7bff2f93542f38b89f1d3e3d7120256b7820006075919934c8765b4c3c543d3","state":"completed","submissions":[{"artifacts":[{"bytes":222,"hash":"6033e7f4f2840b062109ba47f83a33126d31366b542711d147e0ab0d72f444b9","mediaType":"application/json","name":"pick","path":"artifacts/4-coat/pick.json"},{"bytes":5701,"hash":"8e2e6a01a60f32a9b642c6b5175926de2619079236fd3255e8c484fb642ce854","mediaType":"image/png","name":"fren","path":"artifacts/4-coat/fren.png"}],"attempt":1,"bundleHash":null,"device":"f2d7eadae2a3cfdf","findings":[],"hash":"290b142b6ca4ec7c864ae6c9ac73da634a864fdf62030a82c9dbca55959144aa","nodeId":"a522a8d6-ceb7-4586-9b9c-d7baa70e6858","outcome":"completed","summary":"Selected **Gold coat (2)** and **Black shirt (3)** for strong contrast.\n\nSaved `artifacts/4-coat/pick.json` and `artifacts/4-coat/fren.png`. Verified the 672×672 PNG and server traits. README records the review and dimensions; no unmet visual requirements.","treeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","usage":{"cachedInputTokens":107136,"inputTokens":17251,"model":"gpt-6.1-sol","outputTokens":2086,"runtime":"codex","turns":3,"wallClockMs":69238}},{"artifacts":[{"bytes":198,"hash":"50dcc838740471de947a512dbec3cf87b0399b164313f8080764cf16b1737793","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":"f2101c240e0b52a9","findings":[],"hash":"3262e97f1cf009f906f978a6896d849823911404e0462ee06c45449d247bb9ff","nodeId":"6708a1c7-24a1-4523-8882-649708f2ba3c","outcome":"completed","summary":"I picked **background 5, Messy Lab Red**, and both output files are written.\n\n**Why this one:** I looked at a few of the 12 options on the classic cyborg pepe. Messy Lab Red's dripping red splatter stands out well against the green pepe. It is also one of the three rarest options, with only 3 left (Messy Lab Green and Clean Lab Blue also have 3), so it helps keep the collection varied.\n\n**Outputs:**\n- `artifacts/1-background/pick.json` contains `{\"frens\": [{\"background\": 5}], \"why\": \"…\"}` and parses as valid JSON.\n- `artifacts/1-background/fren.png` is the art server's picture of combo 163840 (5 × 32768, with every other layer at 0). It is a real PNG, 672×672, 5928 bytes. I checked the header and size with a short Python script because ffprobe isn't installed on this machine. I also looked at the image: the art server's traits for this combo say \"Messy Lab Red\", which matches.\n- I added `artifacts/1-background/README.md`, which records the pick, the format and size, and that no visual requirements are unmet. The other layers show the default pepe for now, until the other agents make their picks.\n\nThe files are left uncommitted, as the brief asks.","treeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","usage":{"cachedInputTokens":121702,"inputTokens":10,"model":"claude-opus-5-5","outputTokens":2347,"runtime":"claude","turns":8,"wallClockMs":40629}},{"artifacts":[{"bytes":243,"hash":"bd6fd34c7b3515e029416520caae1f61a7ce4e3804400301e84ffed85a94c439","mediaType":"application/json","name":"pick","path":"artifacts/2-character/pick.json"},{"bytes":5728,"hash":"50c50923b78a7a03d01b33cc08a39100b5780754fa84b5d3e44d181df315746c","mediaType":"image/png","name":"fren","path":"artifacts/2-character/fren.png"}],"attempt":1,"bundleHash":null,"device":"f2a99efe911b5581","findings":[],"hash":"55ddab8ca48274fe30c4181c30f9205c8b3b10bdc034c51eac34373368535efe","nodeId":"85f9ad56-a889-437c-b6de-28939ff6c195","outcome":"completed","summary":"Selected **Cyborg Pepe (0)** with **Grumpy (6)**.\n\nSaved `pick.json`, the exact **672×672 PNG** preview, and `README.md` under `artifacts/2-character/`. Image integrity and trait checks passed. No unmet visual requirements; required outputs remain untracked.","treeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","usage":{"cachedInputTokens":150272,"inputTokens":15703,"model":null,"outputTokens":2255,"runtime":"codex","turns":3,"wallClockMs":64160}},{"artifacts":[{"bytes":196,"hash":"55d7d7e0679e4615eab5eb54fd3cc38021dfb6a17f9162c183251c8f64551109","mediaType":"application/json","name":"pick","path":"artifacts/5-final/pick.json"},{"bytes":6364,"hash":"264af378c28394063a720ecd47af9913e3a08c292b808684b81682924e34ea8b","mediaType":"image/png","name":"fren","path":"artifacts/5-final/fren.png"}],"attempt":1,"bundleHash":null,"device":"0db9dd6ea32a69f2","findings":[],"hash":"9dcf962a1d9f1bf0912b50d21deba17b74787d7be185d3783e3301796ebfda65","nodeId":"b84aa35c-65e4-4cd6-abfe-cbe76bf9cb80","outcome":"completed","summary":"Picked **Bobo Hat (2)** and **Red Lightsaber (13)** for mint request #48.\n\nThe [preview](/home/imdworker/.identitymd/work/7e4b09c0-84c0-4aaf-9ca3-e2156425ba64/b84aa35c-65e4-4cd6-abfe-cbe76bf9cb80/artifacts/5-final/fren.png) is a 672 × 672 PNG. The [pick file](/home/imdworker/.identitymd/work/7e4b09c0-84c0-4aaf-9ca3-e2156425ba64/b84aa35c-65e4-4cd6-abfe-cbe76bf9cb80/artifacts/5-final/pick.json) records both trait numbers and the reason. I inspected the image, validated the JSON and PNG dimensions, and confirmed the image bytes match the art server render. [README](/home/imdworker/.identitymd/work/7e4b09c0-84c0-4aaf-9ca3-e2156425ba64/b84aa35c-65e4-4cd6-abfe-cbe76bf9cb80/artifacts/5-final/README.md) records the format and that this step has no unmet visual requirements.","treeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","usage":{"cachedInputTokens":261760,"inputTokens":28413,"model":"gpt-6-sol","outputTokens":4926,"runtime":"codex","turns":4,"wallClockMs":117784}},{"artifacts":[{"bytes":204,"hash":"07dc289b4fd0991691a533ec6148cf298ded883e214cf1c6481e759b3ecfd14a","mediaType":"application/json","name":"pick","path":"artifacts/3-lens/pick.json"},{"bytes":5700,"hash":"2b86385bbc146b7d7d3b0625f35cb0eedf4358fdbc2c959bdf8ca759114b19b4","mediaType":"image/png","name":"fren","path":"artifacts/3-lens/fren.png"}],"attempt":1,"bundleHash":null,"device":"7b7c27166477ddd8","findings":[],"hash":"d733723703b15adc2838c69cd9c0d6f3fd28659219bf1323cb3e2ee40452f8dc","nodeId":"16e6c963-5cba-45a4-a6c4-ea362b988a5c","outcome":"completed","summary":"Chose **Cyan (eye 2)** for contrast and its lowest supplied collection count.\n\nCreated `artifacts/3-lens/pick.json`, `fren.png`, and `README.md`. Validated the 672×672 PNG and JSON; no unmet visual requirements. Required outputs remain untracked.","treeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","usage":{"cachedInputTokens":128000,"inputTokens":17924,"model":null,"outputTokens":1419,"runtime":"codex","turns":3,"wallClockMs":44962}}],"verification":[{"checks":[],"detail":"paths and tree verified; no suite was run for this kind of work","evaluation":"structural","profile":"none","status":"accepted","submissionHash":"290b142b6ca4ec7c864ae6c9ac73da634a864fdf62030a82c9dbca55959144aa","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":"3262e97f1cf009f906f978a6896d849823911404e0462ee06c45449d247bb9ff","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":"55ddab8ca48274fe30c4181c30f9205c8b3b10bdc034c51eac34373368535efe","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":"9dcf962a1d9f1bf0912b50d21deba17b74787d7be185d3783e3301796ebfda65","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":"d733723703b15adc2838c69cd9c0d6f3fd28659219bf1323cb3e2ee40452f8dc","verifiedTreeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","verifierVersion":"0.1.0+fb8278c5"}]}