Borrowing it
Nothing to install: this file belongs to fetcher-sh/fetcher-skills. 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/fetcher-sh/fetcher-skills/main/AGENTS.mdgit clone --depth 1 https://github.com/fetcher-sh/fetcher-skillsWrote 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/fetcher-sh/fetcher-skills/agents-md)<a href="https://agentmods.dev/instructions/fetcher-sh/fetcher-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/fetcher-sh/fetcher-skills/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/fetcher-sh/fetcher-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/fetcher-sh/fetcher-skills/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 | $0.02162 | $0.02162 |
| Opus 5 | $0.01081 | $0.01081 |
| Sonnet 5 | $0.00432 | $0.00432 |
| Haiku 4.5 | $0.00216 | $0.00216 |
Grade A, and why
fetcher-skills 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 8d 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.
`curl` scenarios for the highest-value calls, the response envelope, MCP setup, How it starts
The opening of the file, as written. The whole thing — 160 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS
Guidance for AI agents (and humans) working in this repository.
What this repo is
Agent skills for fetcher.sh — a pay-per-call web-data API. Each
service (Twitter/X, TikTok, Instagram, YouTube, Reddit, Google Search, Google Maps,
Google News, Google Play, App Store, Yelp) is its own skill, plus one shared fetcher
skill for payment and MCP setup. Every skill talks to a real, live host —
https://<service>.fetcher.sh — there are no mock endpoints or placeholder actor IDs.
Repository structure
fetcher-skills/
├── README.md # Overview, capability matrix, use cases, FAQ, install instructions
├── AGENTS.md # This file
├── LICENSE # MIT
├── .claude-plugin/
│ ├── plugin.json # Package metadata
│ └── marketplace.json # Skill registry (Claude plugin loader)
├── task-guides/ # Standalone SEO docs, NOT part of any installable skill
│ ├── search-tweets.md
│ ├── export-twitter-followers.md
│ ├── tiktok-viral-post-search.md
│ ├── tiktok-profile-and-followers.md
│ ├── instagram-profile-lookup.md
│ └── instagram-hashtag-and-location-monitoring.md
├── commands/ # Claude Code slash commands (auto-discovered top-level dir)
│ ├── twitter-search.md
│ ├── x-search.md
│ ├── tiktok-search.md
│ └── instagram-profile.md
└── skills/
├── fetcher/SKILL.md # Shared: credits, x402, MCP, key hygiene
├── twitter-api/
│ ├── SKILL.md # twitter.fetcher.sh
│ └── references/ # endpoints.md, scenarios.md, faq.md, comparison.md
├── x-api/ # Same host as twitter-api, X-first framing
│ ├── SKILL.md
│ └── references/
├── tiktok-api/
│ ├── SKILL.md # tiktok.fetcher.sh
│ └── references/
├── instagram-api/
│ ├── SKILL.md # instagram.fetcher.sh
│ └── references/
├── youtube-api/SKILL.md # youtube.fetcher.sh
├── reddit-api/SKILL.md # reddit.fetcher.sh
├── google-search/SKILL.md # google.fetcher.sh
├── google-maps/SKILL.md # google-maps.fetcher.sh
├── google-news/SKILL.md # google-news.fetcher.sh
├── google-play/SKILL.md # googleplay.fetcher.sh
├── app-store/SKILL.md # appstore.fetcher.sh
└── yelp/SKILL.md # yelp.fetcher.sh
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.
- 8d ago First seen · 160 lines · 2,162 tokens per session scan A d7ff65026b31
fetcher-skills AGENTS.md is an instructions file published in the GitHub repository fetcher-sh/fetcher-skills (0 stars, last pushed 3d ago), licensed MIT. It adds 2,162 tokens to every session, about $0.0108 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 2026-09-01.
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.