Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/ezbuilder/code-brain/ai-unity-asset-pipelinenpx skills add ezBuilder/code-brain --skill ai-unity-asset-pipelinegit clone --depth 1 https://github.com/ezBuilder/code-brainWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/ezbuilder/code-brain/ai-unity-asset-pipeline)<a href="https://agentmods.dev/skills/ezbuilder/code-brain/ai-unity-asset-pipeline"><img src="https://agentmods.dev/badge/skills/ezbuilder/code-brain/ai-unity-asset-pipeline.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00095 | $0.01700 |
| Opus 5 | $0.00048 | $0.00850 |
| Sonnet 5 | $0.00019 | $0.00340 |
| Haiku 4.5 | $0.00010 | $0.00170 |
Grade A, and why
ai-unity-asset-pipeline scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 139 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI to Unity asset pipeline
Use the installed ai-unity-asset command. Keep provider generation, mesh
optimization, Unity import, and live visual proof as separate evidence lanes.
Required flow
- Run
ai-unity-asset doctor --project "$PWD". - For a new concept, run
ai-unity-asset promptand use ImageGen to create four orthographic views on a plain background. Preserve the generated image, prompt, and fingerprint sidecar as immutable references. Read references/imagegen-prompts.md for fixed prompt fields and bulk rules. For era production, runai-unity-asset prompt-batch; when ChatGPT To Codex is available, consume its queue exactly as documented in references/chatgpt2codex-asset-factory.md. - Generate a mesh only through a provider the user has authorized. Never read or print API keys. Paid providers and gated model access require explicit approval.
- Run Blender normalization: bottom-center pivot, meters, UV preservation, material consolidation, LOD0/LOD1/LOD2, full wheel clearance, and FBX plus GLB export.
- Use
ai-unity-asset catalogfor broad 1950-2999 production. Add an archetype record whenever an existing modular recipe fits; add Python only when a genuinely new topology recipe is required. - Publish into Unity with
ai-unity-asset publishor use the completeai-unity-asset fleetflow for the bundled Transport Tycoon vehicle family. - Verify the manifest, triangle budgets, Unity compilation/tests, and fresh front, rear, side, and elevated Unity renders before claiming success.
Commands
ai-unity-asset doctor --project /absolute/unity/project
ai-unity-asset init --project /absolute/unity/project
ai-unity-asset prompt \
--asset-id road-city-bus-1988-kr \
--subject "full-size two-axle city bus" \
--year 1988 \
--output /absolute/prompts/road-city-bus-1988-kr.txt
ai-unity-asset prompt-batch \
--start-year 1950 --end-year 2999 \
--domain road --region east-asia \
--output-dir /absolute/output/road-reference-batch
ai-unity-asset gameplay-catalog \
--start-year 1950 --end-year 2999 \
--output /absolute/output/transport-gameplay-catalog.json
ai-unity-asset transport-factory \
--start-year 1950 --end-year 2999 \
--region global-neutral \
--output-dir /absolute/output/transport-factory \
--unity-project /absolute/unity/project
ai-unity-asset fleet \
--reference /absolute/reference.png \
--output-dir /absolute/output \
--unity-project /absolute/unity/project \
--unity-destination Assets/Resources/Game/Vehicles/Generated
ai-unity-asset optimize --input /absolute/raw.glb --output-dir /absolute/output
ai-unity-asset validate --manifest /absolute/output/asset-manifest.json
ai-unity-asset catalog \
--start-year 1950 --end-year 2999 \
--output-plan /absolute/output/asset-production-plan.json
What ships with it
14 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- bin/ai-unity-asset 535 B
- catalogs/transport_gameplay_profiles.json 30 KB
- catalogs/transport_tycoon_1950_2999.json 25 KB
- references/blender-mcp.md 1.5 KB
- references/chatgpt2codex-asset-factory.md 3.8 KB
- references/imagegen-prompts.md 5.3 KB
- references/providers.md 2.0 KB
- scripts/asset_catalog.py 22 KB runs code
- scripts/asset_pipeline.py 43 KB runs code
- scripts/blender_optimize.py 6.4 KB runs code
- scripts/blender_vehicle_fleet.py 39 KB runs code
- scripts/install.sh 801 B runs code
- templates/AIAssetImportPostprocessor.cs 1.3 KB
- templates/imagegen-multiview-prompt.txt 2.9 KB
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 5d ago First seen · 139 lines · 95 tokens per session scan A 218600446196
ai-unity-asset-pipeline is a skill published in the GitHub repository ezBuilder/code-brain (11 stars, last pushed 6d ago), licensed Apache-2.0. It adds 95 tokens to every session and 1,700 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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