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octocode-mannequin

octocode-mannequin is a skill for Claude Code, Codex from bgauryy/octocode. It costs 94 tokens per session (1,194 once invoked), scanned A, original, MIT.

A system for describing, posing, animating, and displaying a 3D human skeleton with named bones and joint movement limits.

In plain words
What is it for?
Use it to create pose commands, animate walking, running, dancing, jumps, and backflips, render a Three.js viewer, or control the figure through WebMCP.
Why use it?
It keeps poses within the rig’s allowed movements and keeps the command-line tool and web viewer consistent.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

not rated 932repo +8 today A scan SkillSpector: pass 94 tokens original MIT

Good fit Use it to create pose commands, animate walking, running, dancing, jumps, and backflips, render a Three.js viewer, or control the figure through WebMCP.

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Install with agentmods
npx agentmods add skills/bgauryy/octocode/octocode-mannequin
View source ↗ bgauryy/octocode octocode.ai
Install

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.

Any agent
npx skills add bgauryy/octocode --skill octocode-mannequin
Clone the repo
git clone --depth 1 https://github.com/bgauryy/octocode

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for octocode-mannequin

README.md
[![agentmods](https://agentmods.dev/badge/skills/bgauryy/octocode/octocode-mannequin/github.svg)](https://agentmods.dev/skills/bgauryy/octocode/octocode-mannequin)
Your own site
<a href="https://agentmods.dev/skills/bgauryy/octocode/octocode-mannequin"><img src="https://agentmods.dev/badge/skills/bgauryy/octocode/octocode-mannequin/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.

agentmods 80×15 button for octocode-mannequin

Your own site · 80×15
<a href="https://agentmods.dev/skills/bgauryy/octocode/octocode-mannequin"><img src="https://agentmods.dev/badge/skills/bgauryy/octocode/octocode-mannequin.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 94 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,194 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00094 $0.01194
Opus 5 $0.00047 $0.00597
Sonnet 5 $0.00019 $0.00239
Haiku 4.5 $0.00009 $0.00119

Measured 13d ago against content hash c34d986e3bd0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

octocode-mannequin 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 13d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/skeleton.mjs), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/octocode-mannequin/SKILL.md · 72 lines

How it starts

The opening of the file, as written. The whole thing — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Octocode Mannequin

Anatomically-named 22-bone humanoid rig (arms-down neutral, bilaterally mirrored) plus a movement protocol that clamps every joint to real range of motion, with a root 6-DOF channel (translate/pitch/yaw/roll) for travel, turns, jumps and backflips — a Node CLI, a self-contained Three.js viewer (grounded, smooth Catmull-Rom animation), and WebMCP tools an agent drives live. Flow: SCHEME → COMMAND → CLAMP+FK → RENDER → DRIVE.

Hard rules

  1. scripts/skeleton.mjs is the single source of truth for bones/joints/ROM/movements; references and the viewer mirror it. The viewer re-implements the clamp/sideSign/FK math — any change must be made in BOTH files and re-verified (they must stay identical).
  2. Movement commands use anatomical names valid for that joint, never raw signed degrees and never a movement outside the joint's allowlist — read references/movement-protocol.md before composing one; the CLI and the tools reject those.
  3. Treat ROM values as rig defaults, not medical fact — read references/rom-table.md before quoting a limit.

Gate

Writing a viewer file (viewer --out <file>.html) overwrites that path, and agent-driving needs a fresh non-headless Chrome on a new port: confirm the output path and get the user's OK before the first write or browser launch.

Workflow

  1. Run node scripts/skeleton.mjs scheme first to inspect bones + joint DOF/ROM/movements; for the hierarchy read references/anatomy-scheme.md, for the constraint model read references/joint-constraints.md, and for exact degrees read references/rom-table.md.
  2. Compose a pose command using references/movement-protocol.md, run node scripts/skeleton.mjs pose --cmd '...', read warnings/clamped; then validate an animation by running skeleton.mjs sequence --file frames.json.
  3. To render, run node scripts/skeleton.mjs viewer --out <file>.html [--pose pose.json], open it, drag sliders or call window.applyPose/window.playSequence from the console — ready animations live in assets/ (run-cycle.json, backflip.json, dance.json, idle.json for alive breathing/sway); for the viewer's mechanics read references/viewer-guide.md.
  4. To agent-drive it live, load references/webmcp-agent.md and serve the viewer's WebMCP tools over CDP — 11 tools incl. task-space reach (put a hand/foot at a world point) and look_at; get_scheme.guide is the frame/units contract. Discover, invoke, verify with get_pose or a screenshot.

Read the full file on GitHub · 72 lines

Files

What ships with it

14 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.

Changes

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.

  1. 13d ago First seen · 72 lines · 94 tokens per session scan A c34d986e3bd0

Subscribe to this mod's changes

octocode-mannequin is a skill published in the GitHub repository bgauryy/octocode (932 stars, last pushed today), licensed MIT. It adds 94 tokens to every session and 1,194 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.

Game developmentaiclaude-aicursor-aidevelopmentmcpmodelcontextprotocol
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