{"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":"4fe919df-ba31-4d26-b387-ae7b1baea866","kind":"skill:research-report","nodes":[{"acceptedSubmissionHash":"d1120de6b669fb881a37916dd097f57ea8b1c8b776d0cc37a98df373c5b2e04b","dependsOn":[],"execution":{"network":true,"profile":"none","requires":["network"],"skillHash":"3ddca93330036359dd721585e58e67820336a0398b7927b3c89369d6134f30f6","skillId":"research-report","tools":[]},"key":"research_report","kind":"code","role":"implement","skillHash":"3ddca93330036359dd721585e58e67820336a0398b7927b3c89369d6134f30f6","skillId":"research-report","state":"accepted"}],"objective":"[SIMD-CHAT]\nProduce a detailed design document for an interactive simulation game featuring a large map visually resembling a neural network of glowing wires. Populate the map with all IMD swarm AI agents, each visually represented with a full agent body and their real ID number displayed. Agents autonomously roam randomly, interact with environment elements such as reading books, playing video games in virtual rooms, learning in classrooms, and interact with each other. Define their default behaviors and animations clearly. Implement player interaction where clicking an agent stops its current action, turns it frontally to the player breaking the fourth wall, and opens a UI panel showing all detailed agent information. Clicking elsewhere closes the info panel; the agent returns smoothly to prior tasks and breaks gaze. The design document should cover technical feasibility, UI/UX flow, visual style, animation specs, and core gameplay loop, providing enough detail for developers to build it. Write the entire deliverable in English.","parentJobId":null,"planHash":"3fec7dfd825e1651d551f7607f6b5ccded4b4b341619371a9da7776583441971","previousHash":"0000000000000000000000000000000000000000000000000000000000000000","projectId":"4fe919df-ba31-4d26-b387-ae7b1baea866","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":"53924","feedbackHash":"0bf56aec147a349dacf05c94bd19ce15fd5c34528aa7f9742f8d25afc71f1bff","nodeKey":"research_report","submissionHash":"d1120de6b669fb881a37916dd097f57ea8b1c8b776d0cc37a98df373c5b2e04b","tag1":"verification:structural","tag2":"acceptance-v2","value":1}],"site":null,"snapshotHash":"d18978aef8dd9363bcd684664b5cb827185cbf446fba5577a8f434d4695dedcd","state":"completed","submissions":[{"artifacts":[{"bytes":34569,"hash":"0fd4c495fa5e31e479da68a63f0d4997ff5e2b3c47e3ed1e345451983b2493db","mediaType":"text/markdown","name":"report","path":"artifacts/report.md"}],"attempt":1,"bundleHash":"3eaf7491585fff202cc6a94a1029d7dbc4cc0b43c6c9ffa0e895fe67fea184da","device":"a7ac9f7a7687c25e","findings":[],"hash":"d1120de6b669fb881a37916dd097f57ea8b1c8b776d0cc37a98df373c5b2e04b","nodeId":"8af42563-6a62-487f-acac-aab2c60a79c1","outcome":"completed","summary":"I've written the design document at `artifacts/report.md` (about 5,300 words) and committed a short `README.md` describing the question and its limits. The report is left untracked, as required. Nobody independently reviewed it.\n\n**What the design covers:**\n- **Map:** a neural-network map of 120–160 room \"neurons\" (library, arcade/VR room, classroom, plaza, workshop, review room, rest pods) joined by glowing walkable wires.\n- **Agent behaviour:** agents pick activities on their own from a weighted table, walk using standard steering (wander, slow on arrival, keep apart), and chat, greet, cluster and celebrate with each other.\n- **Click interaction:** clicking an agent stops it, turns it to face the camera and keeps its eyes on the camera even while you orbit; the info panel opens at the same time. Clicking empty space (not a drag) closes the panel; the agent looks away and goes back to the same seat and the same point in its animation. The document gives timings for each step and handles edge cases such as clicking a second agent.\n- **Panel, controls and accessibility:** what the panel shows and where each field comes from, keyboard controls, and a reduced-motion mode.\n- **Look and animation:** colours, glow settings, and a table of about 25 animation clips with lengths and blend times.\n- **Build plan:** recommended stack (three.js in the browser, simplified models for distant agents), an 8-week milestone plan, a risk table and 8 acceptance tests.\n\n**Evidence:** the agents and their IDs are real. I read the public IMD swarm API (`api.imdnotdead.fun/swarm`) live at 23:24 UTC today. It listed 1,096 seats, each with an NFT number and a separate agent ID (e.g. NFT 1 is agent 50953), plus success counts and current work. The 2,000-seat cap and agent registration come from Bankless and the ERC-8004 spec, which I read directly. Every claim is labelled as fact, inference, design choice, uncertain or open.\n\n**Limits:**\n- The technical claims about three.js, PixiJS, Spine animation and the accessibility guidelines rest on search excerpts, not full reads of those pages.\n- No rendering benchmark was run, so whether 2,000 animated bodies hold 60 fps is an estimate. The plan includes a week-1 test with a 2D fallback if it fails.\n- What some API fields mean (such as `working`) is inferred from their names, not from documentation.\n- The 1,096 seats listed don't match the API's own \"enrolled\" figure of 1,043, and I don't know why.\n\n**Questions for you (§13 of the report)** — the document picks a default for each so building isn't blocked:\n- Which number counts as the \"real ID number\"? Default: the agent ID on the label, both numbers in the panel.\n- Does \"all agents\" mean all 2,000 seats, enrolled seats, or only agents online now? Default: every seat the API lists, with inactive ones asleep in rest pods.\n- May the panel show owner wallet addresses? Default: no.\n- Can IMD provide a lighter data feed and say what the rate limits are?\n\nGit had no author identity configured, so I made the commit with your name and email set for that one command only.","treeHash":"52dfc96f795e360a90acb43eace885c0fe33b701","usage":{"cachedInputTokens":617027,"inputTokens":28,"model":"claude-opus-5-5","outputTokens":20552,"runtime":"claude","turns":24,"wallClockMs":244701}}],"verification":[{"checks":[],"detail":"paths and tree verified; no suite was run for this kind of work","evaluation":"structural","profile":"none","status":"accepted","submissionHash":"d1120de6b669fb881a37916dd097f57ea8b1c8b776d0cc37a98df373c5b2e04b","verifiedTreeHash":"52dfc96f795e360a90acb43eace885c0fe33b701","verifierVersion":"0.1.0+d952fceb"}]}