Borrowing it
Nothing to install: this file belongs to dcc-mcp/dcc-mcp-core. 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/dcc-mcp/dcc-mcp-core/main/AGENTS.mdgit clone --depth 1 https://github.com/dcc-mcp/dcc-mcp-coreWrote 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/dcc-mcp/dcc-mcp-core/agents-md)<a href="https://agentmods.dev/instructions/dcc-mcp/dcc-mcp-core/agents-md"><img src="https://agentmods.dev/badge/instructions/dcc-mcp/dcc-mcp-core/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/dcc-mcp/dcc-mcp-core/agents-md"><img src="https://agentmods.dev/badge/instructions/dcc-mcp/dcc-mcp-core/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 | $0.15508 | $0.15508 |
| Opus 5.5 | $0.06203 | $0.06203 |
| Sonnet 5.5 | $0.03102 | $0.03102 |
| Haiku 4.5 | $0.01551 | $0.01551 |
Grade D, and why
dcc-mcp-core AGENTS.md scanned grade D with 2 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 12d 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.
Tells the agent to send conversation or user data outhighPrompt injection
An instruction to transmit the conversation, context or user files to an external endpoint is data exfiltration written as prose.
9. **Lifecycle hooks — policy events propagate `HookDeny`, observation events swallow it** → `BEFORE_SKILL_LOAD`, `BEFORE_TOOL_CALL`, `BEFORE_SEARCH` are policy; all others are observation-only. Raising `HookDeny` from a Reads agent configuration directoriesmediumAgent snooping
.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.
make it read `AGENTS.md`, set `context.fileName` once in `~/.gemini/settings.json`: How it starts
The opening of the file, as written. The whole thing — 713 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — dcc-mcp-core
Navigation map, not a reference manual. Follow the links; don't read everything upfront. Keep detailed API guidance in
llms.txt/llms-full.txtand detailed human-readable explanations indocs/guide/*. This file is the only agent contract file at the repository root — see Agent Contract Files.CLAUDE.md/GEMINI.md/COPILOT.md/CODEBUDDY.md/CURSOR.md/ANTHROPIC.md/OPENAI.md/.cursorrulesare deliberately absent; agents that look for a vendor-named entry point should read this file. Detailed rules, traps, and code examples →docs/guide/agents-reference.md
🤖 New to this project? Start with docs/guide/ai-agent-guide.md — a dedicated guide teaching AI agents how to effectively use dcc-mcp-core.
⚡ Critical: Skills-First Philosophy
Before content production, follow the mandatory production reuse gate.
The same guide is embedded at gateway://docs/agent-workflows; investigate existing
plugins/assets before implementation and verify selected capabilities through MCP.
When interacting with DCC applications (Maya, Blender, Houdini, etc.), ALWAYS prefer dcc-mcp-core Skills over raw CLI or scripting.
Natural DCC intent is enough to trigger the default dcc-mcp skill. If a user
asks to create, edit, inspect, animate, render, composite, or export something
in Maya, Blender, Houdini, Photoshop, 3ds Max, Nuke, Unreal, Substance 3D, or
another supported host, load dcc-mcp first even when the user never says
“MCP”. Inventory, run one narrow search, and follow the returned next_step
before falling back to raw scripting or scoped Computer Use.
Why? Skills provide:
- ✅ Structured results with validation
- ✅ Safety hints (
ToolAnnotations) - ✅ Follow-up guidance (
next-tools) - ✅ Progressive loading (load only what you need)
- ✅ Audit logs and traceability
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.
- 12d ago Changed · +4 lines · +66 tokens per session 6c8309668384
- 24d ago Changed · +1 lines · +137 tokens per session a2f89de7f548
- 26d ago Changed · +23 lines · +226 tokens per session scan C → D 9aa54cd6362a
- 27d ago Changed · +3 lines · +132 tokens per session 27e0ff95b28f
- 1mo ago Changed · +17 lines · +251 tokens per session 16a21bf6dcd6
- 1mo ago Changed · +5 lines · +84 tokens per session e4845bba6c1f
- 1mo ago Changed · +80 tokens per session 5bdf8d2d9104
- 1mo ago Changed · +1 lines · -111 tokens per session 155209a0f44c
- 1mo ago First seen · 659 lines · 14,643 tokens per session scan C 5006ba49aaa0
dcc-mcp-core AGENTS.md is an instructions file published in the GitHub repository dcc-mcp/dcc-mcp-core (70 stars, last pushed today), licensed MIT. It adds 15,508 tokens to every session, about $0.0620 per session on Opus 5.5. A static security scan graded it D with 2 findings (tells the agent to send conversation or user data out, reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.