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 dcc-mcp/dcc-mcp-maya --skill maya-dynamicsgit clone --depth 1 https://github.com/dcc-mcp/dcc-mcp-mayaWrote 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/dcc-mcp/dcc-mcp-maya/maya-dynamics)<a href="https://agentmods.dev/skills/dcc-mcp/dcc-mcp-maya/maya-dynamics"><img src="https://agentmods.dev/badge/skills/dcc-mcp/dcc-mcp-maya/maya-dynamics/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/dcc-mcp/dcc-mcp-maya/maya-dynamics"><img src="https://agentmods.dev/badge/skills/dcc-mcp/dcc-mcp-maya/maya-dynamics.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 | $0.00063 | $0.00360 |
| Opus 5 | $0.00032 | $0.00180 |
| Sonnet 5 | $0.00013 | $0.00072 |
| Haiku 4.5 | $0.00006 | $0.00036 |
Grade A, and why
maya-dynamics 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 10d 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.
What it actually says
maya-dynamics (Authoring stage)
Typed wrappers for Maya's classic dynamics setup commands. Keep this skill
focused on small graph mutations that agents otherwise tend to attempt through
execute_python with fragile command flags.
Use maya-animation.bake_simulation after the dynamic setup is working and
needs to be converted to keyframes for export.
Scripts
list_dynamics- List rigid bodies, dynamic fields, and rigid constraintsmake_rigid_body- Add active or passive rigid bodies to scene objectsset_rigid_body_properties- Edit common rigid body physical propertiescreate_gravity_field- Create a gravity field and optionally connect targetsconnect_dynamic_field- Connect or disconnect existing fields from dynamic targets
What ships with it
7 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.
- 10d ago First seen · 46 lines · 63 tokens per session scan A e572c8ec3b5d
maya-dynamics is a skill published in the GitHub repository dcc-mcp/dcc-mcp-maya (53 stars, last pushed 2d ago), licensed MIT. It adds 63 tokens to every session and 360 once invoked, about $0.0003 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.
Other skills, from other repositories
dcc-mcp-3dsmax-setup
Set up dcc-mcp-3dsmax for an agent or operator: install 3ds Max Python dependencies with 3dsmaxpy, generate MCP host configuration, guide the user through starting the runtime inside 3ds Max, and run a first live-tool smoke prompt.
houdini-gsplat-relighting
Houdini 22 Gaussian Splat relighting skill - prepare GSplats with SideFX Labs, relight them in Solaris/Karma, and rasterize them in Copernicus. Use when an agent must relight a captured splat while retaining typed scene and parameter control. Not for training or importing a new Gaussian Splat.
3dsmax-asset-source
Domain skill — search and resolve assets into validated AssetDescriptor contracts for cross-DCC asset import pipelines. Returns static catalog entries; production sources can layer download helpers or remote resolution without changing the contract.
3dsmax-lookdev
Domain skill - configure OCIO color management, HDR environment lighting, preview materials, and assign renderer-specific materials (Arnold, V-Ray, Scanline) in 3ds Max.
3dsmax-rigging
Domain skill - create and inspect host-native 3ds Max rig helpers, bones, constraints, controls, poses, native Skin weights, and common deformers.
3dsmax-scene
Domain skill - open, save, merge, inspect, and manage scenes and objects in the current Autodesk 3ds Max session. Use for typed scene lifecycle, nodes, cameras, selection, visibility, parenting, grouping, pivots, transforms, scene metadata, or object cleanup.