Borrowing it
Nothing to install: this file belongs to dylanroscover/Embody. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/dylanroscover/Embody/main/AGENTS.mdgit clone --depth 1 https://github.com/dylanroscover/EmbodyWrote 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/instructions/dylanroscover/embody/agents-md)<a href="https://agentmods.dev/instructions/dylanroscover/embody/agents-md"><img src="https://agentmods.dev/badge/instructions/dylanroscover/embody/agents-md/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/instructions/dylanroscover/embody/agents-md"><img src="https://agentmods.dev/badge/instructions/dylanroscover/embody/agents-md.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 | $0.02615 | $0.02615 |
| Opus 5.5 | $0.01046 | $0.01046 |
| Sonnet 5.5 | $0.00523 | $0.00523 |
| Haiku 4.5 | $0.00262 | $0.00262 |
Grade A, and why
Embody AGENTS.md 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 1mo 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 — 136 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Embody + Envoy - AI Instructions
This project uses Embody (TouchDesigner externalization) and Envoy (MCP server for AI coding tools).
- Embody externalizes TouchDesigner operators to version-controlled files (
.py,.tox,.tdxn,.json, etc.) - Envoy provides MCP tools for AI assistants to inspect and modify the live TD network
- Use the
Configure Fortoggles on the Embody COMP's Envoy page to regenerate these files for your AI tool (more than one client can be on at once)
Note: For Claude Code users, a
CLAUDE.mdwith modular.claude/rules/and.claude/skills/is also generated. ThisAGENTS.mdis the universal fallback read by Codex, Cursor, GitHub Copilot, Windsurf, Gemini, and others.Skills: the same workflow skills ship as
SKILL.mdfolders --.claude/skills/(Claude Code, OpenCode) and.agents/skills/(Codex, Cursor, Gemini CLI, Antigravity). Read the matching skill BEFORE the action it governs:create-operatorbefore creating or moving operators,td-api-referencebefore writing TD Python,mcp-tools-referencebefore the first MCP call,manage-annotations,create-extension,externalize-operator,parameter-design,visual-aesthetics,pop-networks,movie-export,debug-operator,td-recovery,multi-session-etiquette,merge-divergent-tox,glsl-shaders,operator-gotchas,testing,brief(user-invoked),collab(user-invoked). A client with no skills folder gets the identical text over MCP:get_guidance()lists topics,get_guidance(topic='create-operator')returns one.
No Envoy MCP tools? (fresh clone or handed-over project)
MCP config is deliberately not committed: every client's config file hard-codes absolute paths to one machine's Python venv and Envoy bridge. A clone arrives with this file and the rules/skills folders but no MCP config. Which file is missing depends on the client -- .mcp.json (Claude Code, and the baseline Embody always writes), .cursor/mcp.json, .vscode/mcp.json (VS Code, Copilot), .gemini/settings.json, .codex/config.toml, .agents/mcp_config.json (Antigravity), opencode.json.
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.
- 1mo ago Changed · +18 lines · +628 tokens per session b6b8e1a2763a
- 1mo ago Changed · -12 tokens per session 4768efa40e49
- 2mo ago First seen · 118 lines · 1,999 tokens per session scan A 870433759c0e
Embody AGENTS.md is an instructions file published in the GitHub repository dylanroscover/Embody (212 stars, last pushed yesterday), licensed MIT. It adds 2,615 tokens to every session, about $0.0105 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 2026-08-30.
Embody AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| Embody AGENTS.mddylanroscover/Embody | Instructions file | 212 | yesterday | MIT | A | 2,615 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |