scenario-maya-modeling SKILL.md skillA

scenario-maya-modeling from scenario-labs/skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add scenario-labs/skills/scenario-maya-modeling@git:20261017.88ccf82

Pins git:20261017.88ccf82 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
scenario-labs/skills
Path
skills/dcc/maya/scenario-maya-modeling/SKILL.md
Versions recorded
2
Latest version
git:20261017.88ccf82, committed Oct 17, 2026
First version recorded
Sep 26, 2026
Size
20,931 bytes
Repository stars
1,063
License
MIT

Use when modeling in Autodesk Maya, such as hard-surface props, weapons, vehicles, a sci-fi crate, a game-ready or SubD film model, or a character or creature base mesh, or when asked to "clean up this model" or a scene before rigging or UVs. Also for support loops vs bevels vs creases, Smart Bevel, weighted normals, hard edges, pinching or wobbly highlights, a faceted cage, flipped faces, a triangle budget, n-gons, non-manifold geometry, mirroring a half, a low poly from a high poly, or…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Maya modeling (hard surface, organic, props)

Expert modeling is purposeful topology: every loop exists for the silhouette, a highlight, a bake, a
UV seam or a joint, and the model arrives downstream with nothing the next person has to clean. The
agent works big to small, measures each stage with the toolkit, and looks at a metal highlight
render before believing a surface. If a sibling skill named here is missing from your available
skills, ask the user to install it (`npx skills add scenario-labs/skills --skill <name>`);
unattended, proceed from tool schemas and flag the gap.

**REQUIRED BACKGROUND:** scenario-maya-expert (execution channel, review loop, 2027 version traps).
Toolkit: [`scripts/mx_modeling.py`](scripts/mx_modeling.py)
(`sys.path[:0] = ["<skills>/scenario-maya-modeling/scripts", "<skills>/scenario-maya-expert/scripts"]; import mx_modeling as MM`),
used with `mx_audit`, `mx_validate`, `mx_review`, `mx_run`. **Not yet run in Maya:** its pure-Python
layer passed offline tests; every Maya call is pending `tests/code/maya-modeling/run_all.sh`.

## Stance (the expert delta)
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add scenario-labs/skills/scenario-maya-modeling@sha256:591eecf4ef3a7b50

The line at the top of this page pins the label git:20261017.88ccf82, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_hllee2y26f2eemdv.svg)](https://markdownregistry.com/a/art_hllee2y26f2eemdv)

4 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 2 versions of this file, between Sep 26, 2026 and Oct 17, 2026, about one every 21 days.

versioncommittedcommitsizeaudit
git:20261017.88ccf82 latest2026-10-17 88ccf82 20,931 BA view · diff
git:20260926.9ac78612026-09-26 9ac7861 20,736 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (20931 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

scenario-labs/skills · 1,063 stars · license MIT · pushed 2026-10-19 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_hllee2y26f2eemdv
GET https://markdownregistry.com/api/v1/resolve?ref=scenario-labs/skills/scenario-maya-modeling
GET https://markdownregistry.com/api/v1/blob/591eecf4ef3a7b50a64bb8e053694d3df4fdeed9f3bf4ba499899b9a2a31abb1

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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