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 abrahamADSK/maya-mcp --skill maya-headless-batchgit clone --depth 1 https://github.com/abrahamADSK/maya-mcpWrote 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/abrahamadsk/maya-mcp/maya-headless-batch)<a href="https://agentmods.dev/skills/abrahamadsk/maya-mcp/maya-headless-batch"><img src="https://agentmods.dev/badge/skills/abrahamadsk/maya-mcp/maya-headless-batch/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/abrahamadsk/maya-mcp/maya-headless-batch"><img src="https://agentmods.dev/badge/skills/abrahamadsk/maya-mcp/maya-headless-batch.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00113 | $0.01792 |
| Opus 5.5 | $0.00045 | $0.00717 |
| Sonnet 5.5 | $0.00023 | $0.00358 |
| Haiku 4.5 | $0.00011 | $0.00179 |
Grade A, and why
maya-headless-batch 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 4d 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 — 148 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Heavy Maya work, out of process
Applies to any long or risky Maya operation, not one project's render. The measurements here were taken in-vivo on Maya 2027 / macOS Tahoe; none of it is inferable from the API docs.
For which command or flag to call, use search_maya_docs — that is the
reference layer. This skill is the decision of where to run, and what fails
silently when you run it in the wrong place.
1. The Command Port is Maya's main thread
maya_session(action="execute_python") executes synchronously on Maya's main
thread. Default wait is 10 s, timeout raises it to 600 s, heartbeats stream
every 10 s. For the whole of that window the GUI is frozen.
So a long op is not "slow" — it is a hang that looks like a crash, and on Maya 2027 / Tahoe it frequently becomes one. Three GUI crash modes are known on that build (OpenGL paint, SynHub syscall, Qt hide), and chained heavy operations have taken the session down on their own.
Leave the Command Port when any of these is true:
- the work touches more than one scene file, or loops over frames;
- it opens or saves scenes in sequence;
- it renders anything;
- it exports or imports a cache;
- the artist's session must survive, or must not be disturbed.
Staying on the Command Port is right for: inspecting the open scene, small edits the artist wants to see, anything that must act on unsaved in-memory state. That last one is the real constraint — a headless run only sees what is on disk.
2. What maya.standalone does not give you
Plugins do not auto-load. This is the number-one headless failure. A bare
standalone session loads none of them, so cmds.AbcExport, cmds.mayaUSDExport,
cmds.FBXExport and cmds.arnoldExportAss simply do not exist until you load
their plugin. The symptom is an AttributeError on a command you know is real.
Canonical pipeline set — load each in its own try, never abort the run on one:
mayaUsdPlugin AbcImport AbcExport fbxmaya objExport mtoa
What ships with it
1 file 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.
- 4d ago Changed · +5 lines 6aac4ece86f1
- 8d ago First seen · 143 lines · 113 tokens per session scan A 38dbe6c08ac1
maya-headless-batch is a skill published in the GitHub repository abrahamADSK/maya-mcp (2 stars, last pushed 5d ago), licensed MIT. It adds 113 tokens to every session and 1,792 once invoked, about $0.0005 per session on Opus 5.5. 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 2026-09-29.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…
next-cache-components-optimizer
Optimize the meaningful UI available immediately from a Next.js route on an initial load (hard navigation) or named client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route and entry point at a time; the shipped test then guards…