Borrowing it
Nothing to install: this file belongs to mateo-khalil/davinci-resolve-mcp. 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/mateo-khalil/davinci-resolve-mcp/main/CLAUDE.mdgit clone --depth 1 https://github.com/mateo-khalil/davinci-resolve-mcpWrote 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/mateo-khalil/davinci-resolve-mcp/claude-md)<a href="https://agentmods.dev/instructions/mateo-khalil/davinci-resolve-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/mateo-khalil/davinci-resolve-mcp/claude-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/mateo-khalil/davinci-resolve-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/mateo-khalil/davinci-resolve-mcp/claude-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 | $0.00445 | $0.00445 |
| Opus 5 | $0.00222 | $0.00222 |
| Sonnet 5 | $0.00089 | $0.00089 |
| Haiku 4.5 | $0.00044 | $0.00044 |
Grade A, and why
davinci-resolve-mcp CLAUDE.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 9d 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.
What it actually says
Claude Code Instructions
This is a from-scratch MCP server for DaVinci Resolve Free/Community edition. It is NOT the upstream samuelgursky project (that requires Studio); we reset git and rebuilt around a bridge architecture. The original is at https://github.com/samuelgursky/davinci-resolve-mcp if you need to reference a tool design — port ideas, don't assume its code works on Free.
Core constraint (verified, do not re-litigate)
Resolve Free blocks EXTERNAL scripting: a separate process calling
scriptapp("Resolve") returns nil (tested Python 3.9–3.14, incl. brew framework
3.12). INTERNAL scripting works. Therefore everything goes through
bridge/resolve_bridge.lua running inside Resolve.
Architecture
bridge/resolve_bridge.lua— in-Resolve RPC server. Requests are Lua table literals (parsed viaload()), responses are JSON. Exchanged as files in~/.davinci-mcp-bridge/. Add new capabilities here asops.<name>handlers.davinci_mcp/bridge_client.py— external client;BridgeClient.call(op, **args).davinci_mcp/server.py— FastMCP server; one@mcp.tool()per operation.
To add a feature: write the Lua handler in ops, then a matching tool in
server.py. Use resolve_eval / the eval op to prototype before wrapping.
Resolve scripting notes
- Resolve uses Lua 5.1 (
load/loadstring). No LuaSocket;io,os,bmd.wait,bmd.UIDispatcherare available. - The Console caches the Scripts menu at launch; restart Resolve to see newly
added menu scripts. The Console
dofile(...)path does not need a restart. - Resolve's internal Py3 console needs the python.org framework Python; Homebrew Python is not detected. Lua needs nothing extra — prefer Lua for the bridge.
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.
- 9d ago First seen · 35 lines · 445 tokens per session scan A a58a723bba19
davinci-resolve-mcp CLAUDE.md is an instructions file published in the GitHub repository mateo-khalil/davinci-resolve-mcp (0 stars, last pushed 2mo ago), licensed MIT. It adds 445 tokens to every session, about $0.0022 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 2026-08-31.
Other instructions, from other repositories
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.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
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).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
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.
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.