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-mesh-opsgit 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-mesh-ops)<a href="https://agentmods.dev/skills/dcc-mcp/dcc-mcp-maya/maya-mesh-ops"><img src="https://agentmods.dev/badge/skills/dcc-mcp/dcc-mcp-maya/maya-mesh-ops/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-mesh-ops"><img src="https://agentmods.dev/badge/skills/dcc-mcp/dcc-mcp-maya/maya-mesh-ops.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 | $0.00090 | $0.00598 |
| Opus 5 | $0.00045 | $0.00299 |
| Sonnet 5 | $0.00018 | $0.00120 |
| Haiku 4.5 | $0.00009 | $0.00060 |
Grade A, and why
maya-mesh-ops 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 11d 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-mesh-ops (Authoring stage)
Typed polygon construction and editing operations. loft_sections and
lathe_profile accept existing NURBS curves and require a polygon-mesh
readback. array_instances is capped at 128 objects and verifies every
instance transform. set_pivot reads back both Maya pivots. Primitive
creation remains in maya-primitives, while construction-history inspection
belongs to maya-node-graph.
Each tool declares affinity: main because every operation touches
maya.cmds; the dispatcher schedules them on Maya's UI thread via
MayaUiDispatcher.
The modeling group is default_active: false; load this skill and activate
that group only for authoring work. The existing mirror_mesh name remains
the canonical backwards-compatible mirror verb and now verifies that polygon
topology changed before returning success.
Modeling recipes
The sibling references/RECIPES.yaml publishes four bounded Maya plans through
Core's recipes__search, recipes__validate, and recipes__apply tools. An
apply call returns validated inputs, ordered typed-tool steps, and an output
contract; execute those typed steps in order and validate the observed tool
result against the contract. Core does not substitute one step's Maya return
value into a later step, so recipes only chain steps whose identities come from
the validated inputs. mirror_assembly therefore mirrors one named mesh in
place and does not promise a preserved original or a separately named copy.
auto_uv_for_export is intentionally one mesh per application so every export
mesh must independently produce a positive UV count and digest.
What ships with it
19 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.
- groups.yaml 416 B
- references/RECIPES.yaml 5.4 KB
- scripts/apply_subdivision.py 2.4 KB runs code
- scripts/array_instances.py 7.0 KB runs code
- scripts/cleanup_mesh.py 2.0 KB runs code
- scripts/combine_meshes.py 2.3 KB runs code
- scripts/create_proxy_mesh.py 3.6 KB runs code
- scripts/extract_faces.py 3.0 KB runs code
- scripts/get_mesh_edge_info.py 4.0 KB runs code
- scripts/get_poly_count.py 3.0 KB runs code
- scripts/lathe_profile.py 6.0 KB runs code
- scripts/loft_sections.py 6.1 KB runs code
- scripts/merge_vertices.py 2.0 KB runs code
- scripts/mirror_mesh.py 3.9 KB runs code
- scripts/select_by_material.py 3.3 KB runs code
- scripts/separate_mesh.py 2.5 KB runs code
- scripts/set_pivot.py 4.0 KB runs code
- scripts/triangulate.py 1.7 KB runs code
- tools.yaml 10.0 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.
- 11d ago First seen · 64 lines · 90 tokens per session scan A 928c35a049b0
maya-mesh-ops is a skill published in the GitHub repository dcc-mcp/dcc-mcp-maya (53 stars, last pushed 3d ago), licensed MIT. It adds 90 tokens to every session and 598 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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