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 skills add calesthio/generative-media-skills --skill 3d-asset-productiongit clone --depth 1 https://github.com/calesthio/generative-media-skillsWrote 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/calesthio/generative-media-skills/3d-asset-production)<a href="https://agentmods.dev/skills/calesthio/generative-media-skills/3d-asset-production"><img src="https://agentmods.dev/badge/skills/calesthio/generative-media-skills/3d-asset-production/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/calesthio/generative-media-skills/3d-asset-production"><img src="https://agentmods.dev/badge/skills/calesthio/generative-media-skills/3d-asset-production.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 5.1 | $0.00120 | $0.08147 |
| Opus 5 | $0.00060 | $0.04074 |
| Sonnet 5 | $0.00024 | $0.01629 |
| Haiku 4.5 | $0.00012 | $0.00815 |
Grade A, and why
3d-asset-production 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 13d 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 — 581 lines — stays where its author put it; the contents beside it link to each section on GitHub.
3D Asset Production
This skill is for finishing an asset so another artist, engine, viewer, marketplace, configurator, game, AR app, or renderer can actually use it. The input may be generated mesh output, photogrammetry, NeRF/GSplat-derived mesh, scan cleanup, sculpt, CAD-derived polygon export, hand-modeled geometry, or a kitbashed draft. The output is a documented, validated asset package with predictable geometry, scale, materials, texture maps, LODs when needed, and provenance.
Use it when the user asks for asset prep, retopology, cleanup, optimization, baking, UVs, PBR textures, LODs, rig handoff, static mesh delivery, skeletal mesh readiness, game-ready assets, web-ready assets, GLB/glTF/USD/FBX export, DCC-to-engine delivery, or QA of a 3D model.
Do not use it for:
- Choosing or prompting a specific 3D generation provider.
- Building a whole environment, shot, level, or composed scene.
- Running motion-capture sessions or solving mocap performances.
- Exact CAD, toleranced manufacturing, BIM compliance, or simulation-grade engineering geometry.
- Character performance direction, although this skill can prepare a mesh for rigging or animation handoff.
Start With The Delivery Contract
Before touching topology, define the asset's consumer. A beautiful mesh is still a failed delivery if the receiving engine cannot load its textures, its unit scale is wrong, or the rigging team cannot bind it.
Ask for or infer these requirements:
- Asset role: hero prop, background prop, avatar body, modular garment, weapon, vehicle, scan archive, AR product, web configurator item, cinematic asset, marketplace asset, mobile asset.
- Target consumers: Blender, Maya, Houdini, Unreal, Unity, WebGL/three.js/Babylon, USD pipeline, DCC handoff, custom runtime, marketplace.
- Format set: source DCC file,
.glb/.gltf,.usd/.usda/.usdc/.usdz,.fbx, texture archive, preview renders, validation report. - Runtime budget: triangle count, vertex count, material count, draw-call/submesh target, texture resolution, compressed texture formats, LOD count, memory/download size, supported extensions.
- Spatial contract: real-world dimensions, unit system, axis/up convention, pivot, origin, bounds, snap points, socket points.
- Material contract: PBR workflow, color space, texture channel packing, transparency mode, normal tangent basis, renderer-specific shader expectations.
- Animation contract: static mesh, skeletal mesh, blend shapes/morph targets, cloth/hair handoff, deformation range, max bone influences, root bone, naming convention.
- Rights contract: input source, user rights, third-party references, scan consent, generated-output terms, trademarks/logos, attribution, license, distribution region.
What ships with it
3 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.
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.
- 13d ago First seen · 581 lines · 120 tokens per session scan A 96af1efd0d95
3d-asset-production is a skill published in the GitHub repository calesthio/generative-media-skills (170 stars, last pushed 2mo ago), licensed MIT. It adds 120 tokens to every session and 8,147 once invoked, about $0.0006 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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