Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add instructions/grapeot/tavily-skill/agents-mdgit clone --depth 1 https://github.com/grapeot/tavily-skillWhat 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 | $0.00285 | $0.00285 |
| Opus 5 | $0.00143 | $0.00143 |
| Sonnet 5 | $0.00057 | $0.00057 |
| Haiku 4.5 | $0.00028 | $0.00028 |
Grade A, and why
tavily-skill 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 yesterday.
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
AGENTS.md — Tavily Skill
Layout
src/tavily_skill/— Python package (cli.pyowns argparse + Tavily calls).tests/— pytest suite (offline-first).docs/— PRD, RFC, testing notes, working log.skills/— AI-agent skill entrypoint (skill_tavily.md, English).scripts/run_cli.sh— convenience runner once.venvexists.
Treat repository root as the default cwd in docs and examples; avoid machine-specific absolute paths.
Expectations
- After substantive edits, append a dated bullet under
docs/working.md→ Changelog and capture pitfalls under Lessons Learned. - Prefer small, focused commits.
- Language for documentation inside this repo stays English.
- Never commit vault-specific
op://defaults or raw API keys — operators configure env vars locally.
Environment
Python 3.10+. Use uv pip install -e '.[dev]' inside ./.venv. Integration tests spend Tavily credits; gate them with RUN_TAVILY_INTEGRATION=1.
Packaging
- Python package:
tavily_skill - Optional console entry point from
pyproject.toml:tavily-skill
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.
- yesterday First seen · 28 lines · 285 tokens per session scan A 5cdeb4fc0d02
tavily-skill AGENTS.md is an instructions file published in the GitHub repository grapeot/tavily-skill (11 stars, last pushed 1mo ago), licensed MIT. It adds 285 tokens to every session, about $0.0014 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 2026-08-30.
Other instructions, from other repositories
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.
buildNext
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
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, applying the notice (cutover) and fallback chain (never fail the build).
spec-kit 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.
langchain 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.