{"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":"89cedb04-0368-4a3e-85c8-9023428136bf","kind":"shape:dag","nodes":[{"acceptedSubmissionHash":"70c1bcc71c0ac90210bef514cb3c3c829c75aa07ba5ac17c9a30d023e4a80433","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":"4bbe8bf7657a9f0f52bd46cc0fb6ab954a7eab312a740367d936796d860ef24a","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":"f45867e37acacf80f555ee9172fb702f9d0186c752ee3d622d259a5aacdc1905","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":"4ef89770bffaa8055705c5025e64ee70eca329430d9fe68a17e17b83fb083e07","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":"8a6bd69e43d4f16f66b40dcd2300c0fa1a211434676f5881b41acc4cb0d0d1e0","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 #85: 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":"9b57932ef6c7e8fe02c308be6b97b214b5fd42b167c2b95e241bdbac4f65b6b6","previousHash":"0000000000000000000000000000000000000000000000000000000000000000","projectId":"89cedb04-0368-4a3e-85c8-9023428136bf","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":"51326","feedbackHash":"f80327a35997416d2f386dc4553e6d08be89ad2092851355cb71135ae7c36e51","nodeKey":"background","submissionHash":"70c1bcc71c0ac90210bef514cb3c3c829c75aa07ba5ac17c9a30d023e4a80433","tag1":"verification:structural","tag2":"acceptance-v2","value":1},{"agentId":"51489","feedbackHash":"abd281474164f20133a9ac11dd1b4ae6a06f65d099e7740a2ac9e2db7e162c6d","nodeKey":"character","submissionHash":"4bbe8bf7657a9f0f52bd46cc0fb6ab954a7eab312a740367d936796d860ef24a","tag1":"verification:structural","tag2":"acceptance-v2","value":1},{"agentId":"51450","feedbackHash":"7537dbe646a2afe5731a34d98c3af2ed784bc3eca703a726d78f49f33e25c1d2","nodeKey":"coat","submissionHash":"f45867e37acacf80f555ee9172fb702f9d0186c752ee3d622d259a5aacdc1905","tag1":"verification:structural","tag2":"acceptance-v2","value":1},{"agentId":"51148","feedbackHash":"bf4d4cf308fa985e4d1a509327c512e5f77e79b88cb9d4ff52a734f4d8948a1f","nodeKey":"final","submissionHash":"4ef89770bffaa8055705c5025e64ee70eca329430d9fe68a17e17b83fb083e07","tag1":"verification:structural","tag2":"acceptance-v2","value":1},{"agentId":"51301","feedbackHash":"dd1ab5588bb4ad173e3d188f99eac64ee942919529e71d5f26248e2568cc00b3","nodeKey":"lens","submissionHash":"8a6bd69e43d4f16f66b40dcd2300c0fa1a211434676f5881b41acc4cb0d0d1e0","tag1":"verification:structural","tag2":"acceptance-v2","value":1}],"site":null,"snapshotHash":"a2cddcb3ca6ad18c0a4a5e0988bc793e6fa42b7d18f550f16fe1322cd8da94bd","state":"completed","submissions":[{"artifacts":[{"bytes":230,"hash":"8165ba3c400114e575d1adf6c8f195c063e01d90af54b2b153e48cfc2c36230e","mediaType":"application/json","name":"pick","path":"artifacts/2-character/pick.json"},{"bytes":6105,"hash":"bd094ee3e4ca5c4d3a09d2082632c03d20ef8094fb41b0b45bb332927ff7d79a","mediaType":"image/png","name":"fren","path":"artifacts/2-character/fren.png"}],"attempt":1,"bundleHash":null,"device":"e8b60b2d2d013a4d","findings":[],"hash":"4bbe8bf7657a9f0f52bd46cc0fb6ab954a7eab312a740367d936796d860ef24a","nodeId":"3a464002-2492-4e81-bd95-bd2a94e3f1dd","outcome":"completed","summary":"Selected **Mumu (1)** with **Classic (0)** for its distinctive horns and calm smile.\n\n- Saved `artifacts/2-character/pick.json`\n- Saved `artifacts/2-character/fren.png`\n- Recorded checks in `artifacts/2-character/README.md`\n\nVerified and visually inspected the **672 × 672 PNG**. No unmet visual requirements. Outputs remain untracked.","treeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","usage":{"cachedInputTokens":97920,"inputTokens":9453,"model":null,"outputTokens":2030,"runtime":"codex","turns":3,"wallClockMs":49541}},{"artifacts":[{"bytes":238,"hash":"617cebcc03d543c6532a27dc0a02d31a77187d1b5223ffb0f12c6e6908d8e73c","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":"f2a99efe911b5581","findings":[],"hash":"4ef89770bffaa8055705c5025e64ee70eca329430d9fe68a17e17b83fb083e07","nodeId":"cc9ae6dd-e1e3-4763-b428-f3c372939afc","outcome":"completed","summary":"Selected **Mumu Hat (1)** and **Bunsen Burner (15)**.\n\nSaved `pick.json`, the exact **672×672 PNG** preview at `artifacts/5-final/fren.png`, and a README recording image details and limitations. Visually inspected the preview and verified its PNG structure and selections. Required outputs remain untracked.","treeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","usage":{"cachedInputTokens":103040,"inputTokens":13237,"model":null,"outputTokens":1444,"runtime":"codex","turns":3,"wallClockMs":38740}},{"artifacts":[{"bytes":247,"hash":"effa3aa7e1d5f956d4b952b5b4f11833478428e44aa3e458755a89c7d3144382","mediaType":"application/json","name":"pick","path":"artifacts/1-background/pick.json"},{"bytes":5805,"hash":"ba8c5e8e4749d97d46b88e4875292f0a25d10da28a1428f84bd08b0b93746ffb","mediaType":"image/png","name":"fren","path":"artifacts/1-background/fren.png"}],"attempt":1,"bundleHash":null,"device":"e8a3697ab46868ba","findings":[],"hash":"70c1bcc71c0ac90210bef514cb3c3c829c75aa07ba5ac17c9a30d023e4a80433","nodeId":"8bdec02b-a773-49e0-bde1-78b050e9d0d0","outcome":"completed","summary":"Selected **Tube Blue (6)** for its contrast with the green cyborg and white coat.\n\nSaved `artifacts/1-background/fren.png`, `pick.json`, and `README.md`. Verified the original PNG is **672 × 672** and the pick is allowed. No unmet visual requirements.","treeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","usage":{"cachedInputTokens":110464,"inputTokens":10619,"model":"gpt-6.1-sol","outputTokens":1936,"runtime":"codex","turns":3,"wallClockMs":56778}},{"artifacts":[{"bytes":162,"hash":"d95a4bb24171c3ab8e0497e927142766c6e7cf9529f43987fc99a0fae43b9858","mediaType":"application/json","name":"pick","path":"artifacts/3-lens/pick.json"},{"bytes":5718,"hash":"63cca84e1b657f6ba23853e529dfe898932d1688257d48ba63b059524984e74e","mediaType":"image/png","name":"fren","path":"artifacts/3-lens/fren.png"}],"attempt":1,"bundleHash":null,"device":"f0ca4c17025726f8","findings":[],"hash":"8a6bd69e43d4f16f66b40dcd2300c0fa1a211434676f5881b41acc4cb0d0d1e0","nodeId":"4a478e84-3b95-43ea-959e-eff5478b5d45","outcome":"completed","summary":"Selected **eye 1 — Red** for its clear contrast and low collection count. Saved [pick.json](/root/.identitymd/work/89cedb04-0368-4a3e-85c8-9023428136bf/4a478e84-3b95-43ea-959e-eff5478b5d45/artifacts/3-lens/pick.json) and the [fren preview](/root/.identitymd/work/89cedb04-0368-4a3e-85c8-9023428136bf/4a478e84-3b95-43ea-959e-eff5478b5d45/artifacts/3-lens/fren.png).\n\nVerified the preview is a 672 × 672 PNG matching art-server combo 64. [README.md](/root/.identitymd/work/89cedb04-0368-4a3e-85c8-9023428136bf/4a478e84-3b95-43ea-959e-eff5478b5d45/artifacts/3-lens/README.md) records the format, dimensions, and that no visual requirements remain unmet.","treeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","usage":{"cachedInputTokens":154368,"inputTokens":21607,"model":"gpt-6-sol","outputTokens":3046,"runtime":"codex","turns":3,"wallClockMs":49739}},{"artifacts":[{"bytes":201,"hash":"0763bdc18dc1871780a59ae48338ce09693e56f8a56986f6c52e5f7c01619016","mediaType":"application/json","name":"pick","path":"artifacts/4-coat/pick.json"},{"bytes":5699,"hash":"d0b193251f5e0d0d4ab86cf95dce18b185da4b1d2d14363c5101c17384de686c","mediaType":"image/png","name":"fren","path":"artifacts/4-coat/fren.png"}],"attempt":1,"bundleHash":null,"device":"f2101c240e0b52a9","findings":[],"hash":"f45867e37acacf80f555ee9172fb702f9d0186c752ee3d622d259a5aacdc1905","nodeId":"a0ad797d-1dc1-4952-90c5-4374539433e1","outcome":"completed","summary":"I picked the **Gold coat (2)** and the **Purple shirt (5)** for mint request #85. That's combo 5632 when every other layer is 0, and the art server reads it back as Coat \"Gold\", Shirt \"Purple\".\n\nI downloaded all 18 coat and shirt pairs, then looked closely at three: Gold/Purple, Black/Orange and Gold/Blue. I chose Gold/Purple because the two colours set each other off. Both options are also on the scarcer side: Gold is the capped coat with 35 left, and Purple has 32. Blue has slightly fewer (30), but I liked purple's contrast better.\n\nOutputs, left untracked for upload:\n- **`artifacts/4-coat/fren.png`**: the server's render, saved unchanged. It's a valid 672x672 PNG in 8-bit indexed colour, a classic cyborg pepe wearing the picked coat and shirt.\n- **`artifacts/4-coat/pick.json`**: `{\"frens\":[{\"coat\":2,\"shirt\":5}],\"why\":\"...\"}`. It parses as valid JSON.\n- **`artifacts/4-coat/README.md`**: the pick, the image details, and a note that no visual requirements are unmet. The visual choice rests only on my own look at the renders; nothing else checks it.","treeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","usage":{"cachedInputTokens":190669,"inputTokens":16,"model":"claude-opus-5-5","outputTokens":3108,"runtime":"claude","turns":12,"wallClockMs":50611}}],"verification":[{"checks":[],"detail":"paths and tree verified; no suite was run for this kind of work","evaluation":"structural","profile":"none","status":"accepted","submissionHash":"4bbe8bf7657a9f0f52bd46cc0fb6ab954a7eab312a740367d936796d860ef24a","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":"4ef89770bffaa8055705c5025e64ee70eca329430d9fe68a17e17b83fb083e07","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":"70c1bcc71c0ac90210bef514cb3c3c829c75aa07ba5ac17c9a30d023e4a80433","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":"8a6bd69e43d4f16f66b40dcd2300c0fa1a211434676f5881b41acc4cb0d0d1e0","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":"f45867e37acacf80f555ee9172fb702f9d0186c752ee3d622d259a5aacdc1905","verifiedTreeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","verifierVersion":"0.1.0+fb8278c5"}]}