{"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":"8df4fc65-715b-4f26-a90e-a4ba5854a51b","kind":"shape:dag","nodes":[{"acceptedSubmissionHash":"40ccc4882c2a95cebdc7fe0e519a0a171dec39f59bf9040469dedc6d4415a1e3","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":"b8162b04acc98ead4ba1f0ae6560baeb6020640dc523f6aac288ba77e3891ac9","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":"2c64d7cd90280909a3a8c13b53aab5a25b55093a901c6690e63dfc1e4147f451","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":"75e086f88d9837843794d56eb3456ce3da07391073bf4a8a2d01d3bc179a5121","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":"f99b1b36e545119f48abcb80c2012c8940fef31a16b019e5de3e7c9fcd7551a5","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 30 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 #9: 30 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 30 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":"12bcacc8a40d5cd662577ff0607649f4904c7643a16e1f03f6c99562630bdb93","previousHash":"0000000000000000000000000000000000000000000000000000000000000000","projectId":"8df4fc65-715b-4f26-a90e-a4ba5854a51b","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":"51445","feedbackHash":"2cc9a5b83ba84cbda622f8e4aace6e5db4a767b2ec9c3a0a2f8da0477471b032","nodeKey":"background","submissionHash":"40ccc4882c2a95cebdc7fe0e519a0a171dec39f59bf9040469dedc6d4415a1e3","tag1":"verification:structural","tag2":"acceptance-v2","value":1},{"agentId":"51017","feedbackHash":"ad924e160f592717880189c5a076862673bb6246b669331b774cf717aae53e91","nodeKey":"character","submissionHash":"b8162b04acc98ead4ba1f0ae6560baeb6020640dc523f6aac288ba77e3891ac9","tag1":"verification:structural","tag2":"acceptance-v2","value":1},{"agentId":"51103","feedbackHash":"9a3e153fa98d0a2545615c1e54ddc6454110767270a8344fcac1a132626a591f","nodeKey":"coat","submissionHash":"2c64d7cd90280909a3a8c13b53aab5a25b55093a901c6690e63dfc1e4147f451","tag1":"verification:structural","tag2":"acceptance-v2","value":1},{"agentId":"51328","feedbackHash":"fa2023ae2c19a6a9cbe727f78647ecd18fc8117fe4361a65a39dfe1a644f30f6","nodeKey":"final","submissionHash":"75e086f88d9837843794d56eb3456ce3da07391073bf4a8a2d01d3bc179a5121","tag1":"verification:structural","tag2":"acceptance-v2","value":1},{"agentId":"51070","feedbackHash":"588312ba0ee54e4b3bcdb7369c454583dccb842c74ae729077f7619a0a7f221a","nodeKey":"lens","submissionHash":"f99b1b36e545119f48abcb80c2012c8940fef31a16b019e5de3e7c9fcd7551a5","tag1":"verification:structural","tag2":"acceptance-v2","value":1}],"site":null,"snapshotHash":"289ce637bf1f2c2c07f91304969221f88adbcb0a2d65ec645e0458a41b96cd0e","state":"completed","submissions":[{"artifacts":[{"bytes":843,"hash":"41841de55975ba9c8783a9e21195ff4a614d407edacad33921f22fb8d79360a4","mediaType":"application/json","name":"pick","path":"artifacts/4-coat/pick.json"},{"bytes":5710,"hash":"9d5c69c222eaac6e99c87f64a18cf80a4e34ba60666057c97bf1bd8b95f5b0f5","mediaType":"image/png","name":"fren","path":"artifacts/4-coat/fren.png"}],"attempt":1,"bundleHash":null,"device":"fd4958ee1ca0d1f2","findings":[],"hash":"2c64d7cd90280909a3a8c13b53aab5a25b55093a901c6690e63dfc1e4147f451","nodeId":"19554722-4784-46b2-b90f-496337b53157","outcome":"completed","summary":"Completed and verified:\n\n- [pick.json](</home/seat/.identitymd/work/8df4fc65-715b-4f26-a90e-a4ba5854a51b/19554722-4784-46b2-b90f-496337b53157/artifacts/4-coat/pick.json>)\n- [fren.png](</home/seat/.identitymd/work/8df4fc65-715b-4f26-a90e-a4ba5854a51b/19554722-4784-46b2-b90f-496337b53157/artifacts/4-coat/fren.png>)\n- [README.md](</home/seat/.identitymd/work/8df4fc65-715b-4f26-a90e-a4ba5854a51b/19554722-4784-46b2-b90f-496337b53157/artifacts/4-coat/README.md>)\n\nPNG is valid and 672×672. JSON contains 30 valid picks.","treeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","usage":{"cachedInputTokens":227200,"inputTokens":21835,"model":null,"outputTokens":4782,"runtime":"codex","turns":4,"wallClockMs":117326}},{"artifacts":[{"bytes":1134,"hash":"93126394ada16acf45904044940ea40b559d5e8b201e30edce496c43fa0cd651","mediaType":"application/json","name":"pick","path":"artifacts/1-background/pick.json"},{"bytes":5805,"hash":"174e0aa692f7f83d5f83c1659a3b80cd48558e048a0b3de4671bc39e7f82f167","mediaType":"image/png","name":"fren","path":"artifacts/1-background/fren.png"}],"attempt":1,"bundleHash":null,"device":"fa8fc4653a9e883d","findings":[],"hash":"40ccc4882c2a95cebdc7fe0e519a0a171dec39f59bf9040469dedc6d4415a1e3","nodeId":"cef8e21e-0a26-466a-b9a6-6c5b94cba087","outcome":"completed","summary":"I've picked a background for all 30 frens and written both files: `artifacts/1-background/pick.json` and `artifacts/1-background/fren.png`.\n\n- **Picks:** all 12 offered backgrounds are used, and no two neighbouring frens share one.\n  - The five the collection doesn't have yet get 3 frens each: Tube Green, Clean Lab Green, Clean Lab Red, Messy Lab Green and Messy Lab Blue.\n  - Wireframe Green also gets 3.\n  - The other six get 2 each.\n- **Fren 1:** Tube Green (background 7), shown on the classic cyborg pepe. The file is a 672x672 PNG and is byte-for-byte the same as the art server's image for that fren (combo 229376), whose traits list Background \"Tube Green\". All 30 picks are within the 12 options.\n- **One assumption:** each option came with a single number, and I read it as how many the collection already has, not how many are left. Options marked (0) were still offered, so the number can't be a \"left\" cap. If it was meant as a cap, the picks would break it, since even the (2) options get 2 or 3 frens each.\n- **Limits:** I judged the backgrounds on the default fren only, because the other layers belong to the other agents.\n\nThere's also a short `README.md` in the same folder recording this. Nothing shows up in `git status` for these files, so they're untracked as required for the upload. Nothing else unmet.","treeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","usage":{"cachedInputTokens":214420,"inputTokens":16,"model":"claude-opus-5-5","outputTokens":3010,"runtime":"claude","turns":9,"wallClockMs":41853}},{"artifacts":[{"bytes":1628,"hash":"c2e44b6cdac12ae8310caf88447c202f3d6877f9aecd7ce61038f57a8b0c6ed0","mediaType":"application/json","name":"pick","path":"artifacts/5-final/pick.json"},{"bytes":6107,"hash":"40d2b1c81d185d1bcd090433ac8a028aa0d360d1e208ac74287b03501f4fe899","mediaType":"image/png","name":"fren","path":"artifacts/5-final/fren.png"}],"attempt":1,"bundleHash":null,"device":"fc6af3255ecf3684","findings":[],"hash":"75e086f88d9837843794d56eb3456ce3da07391073bf4a8a2d01d3bc179a5121","nodeId":"19e01f24-91ad-4504-822a-a9b824b847d7","outcome":"completed","summary":"Created `artifacts/5-final/pick.json` with 30 distinct, valid pairings and `artifacts/5-final/fren.png`, a 672×672 PNG showing fren 1’s Bobo Hat and Light Bulb.\n\nAll options are represented and supply limits pass. README records visual review and limitations. Outputs remain untracked.","treeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","usage":{"cachedInputTokens":153728,"inputTokens":27650,"model":"gpt-6.1-sol","outputTokens":2582,"runtime":"codex","turns":3,"wallClockMs":115758}},{"artifacts":[{"bytes":1753,"hash":"17c4c2d36a77930f336cc2bcf792d9bbf292b36a96a1c760e79cb4eab668e61c","mediaType":"application/json","name":"pick","path":"artifacts/2-character/pick.json"},{"bytes":6130,"hash":"6f435dc4f65313009be9cdf101f753dc854135c11803f7169ca90378c2117e88","mediaType":"image/png","name":"fren","path":"artifacts/2-character/fren.png"}],"attempt":1,"bundleHash":null,"device":"69bbcd9de2fdd6d0","findings":[],"hash":"b8162b04acc98ead4ba1f0ae6560baeb6020640dc523f6aac288ba77e3891ac9","nodeId":"dbe00c41-91a4-41d4-b251-d504ee43c518","outcome":"completed","summary":"Completed the 30 [character and face picks](/root/.identitymd/work/8df4fc65-715b-4f26-a90e-a4ba5854a51b/dbe00c41-91a4-41d4-b251-d504ee43c518/artifacts/2-character/pick.json) and saved [fren 1’s preview](/root/.identitymd/work/8df4fc65-715b-4f26-a90e-a4ba5854a51b/dbe00c41-91a4-41d4-b251-d504ee43c518/artifacts/2-character/fren.png). The picks use each character 10 times and every face two or three times. Validation passed for the JSON, trait limits, and 672 × 672 PNG. [README](/root/.identitymd/work/8df4fc65-715b-4f26-a90e-a4ba5854a51b/dbe00c41-91a4-41d4-b251-d504ee43c518/artifacts/2-character/README.md) records the format and preview limitation.","treeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","usage":{"cachedInputTokens":205824,"inputTokens":22431,"model":"gpt-6-sol","outputTokens":6704,"runtime":"codex","turns":4,"wallClockMs":106346}},{"artifacts":[{"bytes":876,"hash":"39b81a63eaa1345f588596ab5f5398a7c4ee3de26a8ff3ac8e11d29cb97bc44b","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":"89214b73ec1e0b7b","findings":[],"hash":"f99b1b36e545119f48abcb80c2012c8940fef31a16b019e5de3e7c9fcd7551a5","nodeId":"05dd0616-50af-412a-a29e-963ab3bf02e5","outcome":"completed","summary":"I've picked an eye lens colour for all 30 frens and written both required files, plus a short README in the same folder.\n\n- **`artifacts/3-lens/pick.json`**: 30 picks, fren 1 first, mixed so no two frens in a row share a colour. Each colour gets 7 or 8 frens:\n\n  | Lens | Frens | Collection has |\n  |---|---|---|\n  | Red (1) | 8 | 2 |\n  | Green (0) | 8 | 2 |\n  | Cyan (2) | 7 | 3 |\n  | Gold (3) | 7 | 3 (219 left) |\n\n  Red and Green get the extra one each because the collection has fewer of them. Seven Gold is well within the 219 left. Fren 1 is Red because it stands out most against the green skin.\n- **`artifacts/3-lens/fren.png`**: fren 1 as the art server draws it with a Red lens and every other layer at 0. It's a 672x672 PNG.\n\nI checked the file type and size, that there are exactly 30 picks, the counts above, and the Gold limit. I looked at the Red and Cyan previews but didn't open the Green and Gold ones. The preview shows only my layer on a plain cyborg pepe, since the other layers come from the other agents. No visual requirements are unmet.","treeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","usage":{"cachedInputTokens":123827,"inputTokens":10,"model":"claude-opus-5-5","outputTokens":2002,"runtime":"claude","turns":6,"wallClockMs":30922}}],"verification":[{"checks":[],"detail":"paths and tree verified; no suite was run for this kind of work","evaluation":"structural","profile":"none","status":"accepted","submissionHash":"2c64d7cd90280909a3a8c13b53aab5a25b55093a901c6690e63dfc1e4147f451","verifiedTreeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","verifierVersion":"0.1.0+0e08a464"},{"checks":[],"detail":"paths and tree verified; no suite was run for this kind of work","evaluation":"structural","profile":"none","status":"accepted","submissionHash":"40ccc4882c2a95cebdc7fe0e519a0a171dec39f59bf9040469dedc6d4415a1e3","verifiedTreeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","verifierVersion":"0.1.0+0e08a464"},{"checks":[],"detail":"paths and tree verified; no suite was run for this kind of work","evaluation":"structural","profile":"none","status":"accepted","submissionHash":"75e086f88d9837843794d56eb3456ce3da07391073bf4a8a2d01d3bc179a5121","verifiedTreeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","verifierVersion":"0.1.0+0e08a464"},{"checks":[],"detail":"paths and tree verified; no suite was run for this kind of work","evaluation":"structural","profile":"none","status":"accepted","submissionHash":"b8162b04acc98ead4ba1f0ae6560baeb6020640dc523f6aac288ba77e3891ac9","verifiedTreeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","verifierVersion":"0.1.0+0e08a464"},{"checks":[],"detail":"paths and tree verified; no suite was run for this kind of work","evaluation":"structural","profile":"none","status":"accepted","submissionHash":"f99b1b36e545119f48abcb80c2012c8940fef31a16b019e5de3e7c9fcd7551a5","verifiedTreeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","verifierVersion":"0.1.0+0e08a464"}]}