motion-pipeline SKILL.md skillA

motion-pipeline from notque/vexjoy-agent is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add notque/vexjoy-agent/motion-pipeline@git:20260919.28d30f9

Pins git:20260919.28d30f9 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
notque/vexjoy-agent
Path
skills/game/motion-pipeline/SKILL.md
Versions recorded
4
Latest version
git:20260919.28d30f9, committed Sep 19, 2026
First version recorded
May 6, 2026
Size
8,425 bytes
Repository stars
446
License
MIT

CPU-only motion data processing pipeline for game animation: BVH import, contact detection, root decomposition, motion blending, FABRIK IK. No GPU required.

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

# Motion Pipeline Skill

CPU-only motion data processing pipeline for game animation, inspired by Meta's
ai4animationpy framework (CC BY-NC 4.0). All operations run on numpy and scipy
with no GPU or PyTorch required.

## Why standalone implementations?

ai4animationpy's `Math/Tensor.py` imports `torch` unconditionally at the top
level, which propagates through every module (Animation, Import, IK, Math).
This means zero ai4animationpy modules are importable without PyTorch installed.
The standalone implementations in `scripts/motion-pipeline.py` replicate the
key algorithms from their source code using only numpy + scipy.

## Environment setup

```bash
# Create venv (one-time)
python3 -m venv /home/feedgen/vexjoy-agent/motion-pipeline-env/

# Install CPU-only deps
motion-pipeline-env/bin/pip install numpy scipy pygltflib Pillow

# Verify
motion-pipeline-env/bin/python -c "import numpy; import scipy; import pygltflib; print('OK')"
```

The venv is gitignored. The skill documents setup; it does not commit the venv.

## Commands

All commands output JSON to stdout. Errors go to stderr with exit code 1.

### import-bvh

Parse a BVH mocap file and print a motion summary.

```bash
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add notque/vexjoy-agent/motion-pipeline@sha256:34fa2ab7d3a00909

The line at the top of this page pins the label git:20260919.28d30f9, 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_dpezbbzonb7kufwa.svg)](https://markdownregistry.com/a/art_dpezbbzonb7kufwa)

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

Versions

The registry has recorded 4 versions of this file, between May 6, 2026 and Sep 19, 2026, about one every 45 days.

versioncommittedcommitsizeaudit
git:20260919.28d30f9 latest2026-09-19 28d30f9 8,425 BA view · diff
git:20260815.7152afb2026-08-15 7152afb 8,463 BA view · diff
git:20260705.380563c2026-07-05 380563c 8,462 BA view · diff
git:20260506.9709a7a2026-05-06 9709a7a 8,435 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 (8425 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

notque/vexjoy-agent · 446 stars · license MIT · pushed 2026-11-03 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_dpezbbzonb7kufwa
GET https://markdownregistry.com/api/v1/resolve?ref=notque/vexjoy-agent/motion-pipeline
GET https://markdownregistry.com/api/v1/blob/34fa2ab7d3a00909dc3be5976238d781b6bb915d963b29f40a87331fed02a1d2

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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Every file in notque/vexjoy-agent

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