Borrowing it
Nothing to install: this file belongs to Galbaz1/video-research-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/Galbaz1/video-research-mcp/main/CLAUDE.mdgit clone --depth 1 https://github.com/Galbaz1/video-research-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/galbaz1/video-research-mcp/claude-md)<a href="https://agentmods.dev/instructions/galbaz1/video-research-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/galbaz1/video-research-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/galbaz1/video-research-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/galbaz1/video-research-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 | $0.04246 | $0.04246 |
| Opus 5.5 | $0.01698 | $0.01698 |
| Sonnet 5.5 | $0.00849 | $0.00849 |
| Haiku 4.5 | $0.00425 | $0.00425 |
Grade A, and why
video-research-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 18d 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 — 308 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
Memory Source Guard
Do not import AGENTS.md (for example via @AGENTS.md or @../AGENTS.md) from this file or any .claude/rules/*.md file. AGENTS.md is Codex-specific and keeping it out of Claude memory prevents duplicate or conflicting guidance.
What This Is
A monorepo with three separately launched MCP servers:
- video-research-mcp (root) — research, media analysis, source ingestion, knowledge retrieval, and optional provider adapters. Uses the configured Gemini model (
google-genaiSDK) and YouTube Data API v3. - video-explainer-mcp (
packages/video-explainer-mcp/) — explainer planning, generation, durable rendering, and assembly of existing materials. Wraps the video_explainer CLI and supports configured renderer routes with separate prerequisites. - video-agent-mcp (
packages/video-agent-mcp/) — bounded parallel scene-text generation through the Claude Agent SDK.
All servers default to ~/.config/video-research-mcp/.env for configuration;
the root also accepts an installer-selected VIDEO_RESEARCH_ENV_FILE.
Built with Pydantic v2 and hatchling. Python >= 3.11.
Commands
# video-research-mcp (root)
uv sync --locked --extra dev # install locked dependencies
uv run --locked pytest tests/ -v # all tests
uv run --locked ruff check src/ tests/ # lint
GEMINI_API_KEY=... uv run --locked video-research-mcp # run server
# video-explainer-mcp (packages/)
cd packages/video-explainer-mcp
uv sync --locked --extra dev # install locked dependencies
uv run --locked pytest tests/ -v # all tests
uv run --locked ruff check src/ tests/ # lint
EXPLAINER_PATH=/path/to/video_explainer uv run --locked video-explainer-mcp
cd ../..
python3 scripts/detect_review_scope.py --json # from the root checkout
Automated Review Triggers
Use scripts/detect_review_scope.py --json to choose the review mode from git state:
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.
- 18d ago Changed · +32 lines · +183 tokens per session 72767b2c54a4
- 24d ago Changed · -7 lines · -571 tokens per session 64cf1260af8a
- 1mo ago First seen · 283 lines · 4,634 tokens per session scan A b70c7594b4af
video-research-mcp CLAUDE.md is an instructions file published in the GitHub repository Galbaz1/video-research-mcp (23 stars, last pushed today), licensed MIT. It adds 4,246 tokens to every session, about $0.0170 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.
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.