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/AGENTS.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/agents-md)<a href="https://agentmods.dev/instructions/galbaz1/video-research-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/galbaz1/video-research-mcp/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/galbaz1/video-research-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/galbaz1/video-research-mcp/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 | $0.02067 | $0.02067 |
| Opus 5 | $0.01033 | $0.01033 |
| Sonnet 5 | $0.00413 | $0.00413 |
| Haiku 4.5 | $0.00207 | $0.00207 |
Grade A, and why
video-research-mcp AGENTS.md scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
Use direct API calls (curl), NOT MCP tools — MCP `Text_To_Speech` returns 404. How it starts
The opening of the file, as written. The whole thing — 211 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Scope
Codex project instructions equivalent to this repo's Claude setup.
- Root guidance lives here.
- Source-code specific guidance lives in
src/AGENTS.md. - Test-specific guidance lives in
tests/AGENTS.md.
This layout mirrors .claude/rules/*.md path scoping using Codex's directory-based AGENTS discovery.
What This Is
A monorepo with 3 MCP servers (45 tools total):
- video-research-mcp (root) — 28 tools for video analysis, deep research, content extraction, web search, and context caching. Powered by Gemini 3.1 Pro (
google-genai) and YouTube Data API v3. - video-explainer-mcp (
packages/video-explainer-mcp/) — 15 tools for synthesizing explainer videos. - video-agent-mcp (
packages/video-agent-mcp/) — 2 tools for parallel scene generation via Claude Agent SDK.
Python >= 3.11.
Commands
uv venv && source .venv/bin/activate && uv pip install -e ".[dev]"
uv run pytest tests/ -v # 781 tests
uv run pytest tests/ -k "video_analyze" -v
uv run ruff check src/ tests/
GEMINI_API_KEY=... uv run video-research-mcp
scripts/detect_review_scope.py --json
Code Review Trigger Protocol
Use scripts/detect_review_scope.py --json before review/audit/check requests and after major git-state transitions.
Priority when multiple states apply:
uncommittedprcommits
Do not mix review scopes in one pass unless explicitly requested.
Architecture
server.py mounts sub-servers onto FastMCP("video-research"):
tools/video.py: video analysis/session/batch toolstools/youtube.py: metadata/comments/playlist toolstools/research.py: deep research/planning/evidence + deferred registration forresearch_documentandresearch_web*toolstools/research_web.py: Deep Research Agent tools (research_web, status/follow-up/cancel)tools/content.py: content analyze/extract +content_batch_analyze(via deferred import)tools/search.py: web search tooltools/infra.py: infra/cache/config toolstools/knowledge/: knowledge tools
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 · 211 lines · 2,067 tokens per session scan A 877be0c5d173
video-research-mcp AGENTS.md is an instructions file published in the GitHub repository Galbaz1/video-research-mcp (23 stars, last pushed 1mo ago), licensed MIT. It adds 2,067 tokens to every session, about $0.0103 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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.
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.