Borrowing it
Nothing to install: this file belongs to M0-AR/agent-reach-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/M0-AR/agent-reach-mcp/main/CLAUDE.mdgit clone --depth 1 https://github.com/M0-AR/agent-reach-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/m0-ar/agent-reach-mcp/claude-md)<a href="https://agentmods.dev/instructions/m0-ar/agent-reach-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/m0-ar/agent-reach-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/m0-ar/agent-reach-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/m0-ar/agent-reach-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 | $0.00626 | $0.00626 |
| Opus 5 | $0.00313 | $0.00313 |
| Sonnet 5 | $0.00125 | $0.00125 |
| Haiku 4.5 | $0.00063 | $0.00063 |
Grade A, and why
agent-reach-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.
This is a copy
92% identical to Agent-Reach CLAUDE.md — 7 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 46 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
Project
Agent Reach — Python CLI + library that gives AI agents read/search access to 13 internet platforms. Positioning: installer + doctor + config tool. NOT a wrapper — after install, agents call upstream tools directly. Repo: github.com/M0-AR/agent-reach-mcp | License: MIT | Version: 1.5.1 Fork of: github.com/Panniantong/Agent-Reach (v1.5.0)
Commands
pip install -e .— Dev installpytest tests/ -v— All testspytest tests/test_cli.py -v— CLI tests onlybash test.sh— Full integration test (creates venv, installs, runs doctor + channel tests)python -m agent_reach.cli doctor— Run diagnosticspython -m agent_reach.cli install --env=auto— Auto-configure
Structure
agent_reach/cli.py— CLI entry point (argparse)agent_reach/core.py— Core read/search routing logicagent_reach/config.py— Config management (YAML, env vars)agent_reach/doctor.py— Diagnostics engineagent_reach/channels/— One file per platform (twitter.py, reddit.py, youtube.py, etc.)agent_reach/channels/base.py— Base channel class (all channels inherit from this)agent_reach/integrations/mcp_server.py— MCP server integrationagent_reach/skill/— OpenClaw skill filesagent_reach/guides/— Usage guidestests/— pytest testsconfig/mcporter.json— MCP tool config
Conventions
- Python 3.10+ with type hints
- Each channel is a single file in
channels/, inherits fromBaseChannel - Channel contract: must implement
can_handle(url),read(url),search(query),check()methods - Use
logurufor logging,richfor CLI output - Commit format:
type(scope): message(one commit = one thing) - All upstream tool calls go through public API/CLI, never hack internals
Rules
- NEVER modify upstream open source projects' source code
- Agent Reach is a "glue layer" — only route and call, don't reimagine
- Version in THREE places must match:
pyproject.toml,agent_reach/__init__.py,tests/test_cli.py - Convention: fork pushes to main directly (no PR workflow)
- Run
pytest tests/ -vbefore committing — all tests must pass - Cookie-based auth (Twitter, XHS): use Cookie-Editor export method only, no QR scan
- XHS login: Cookie-Editor browser export only (QR will hang)
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 · 46 lines · 626 tokens per session scan A 4a883e5d91e2
agent-reach-mcp CLAUDE.md is an instructions file published in the GitHub repository M0-AR/agent-reach-mcp (0 stars, last pushed 2mo ago), licensed MIT. It adds 626 tokens to every session, about $0.0031 per session on Opus 5. A static security scan graded it A with 0 findings. It is 92% identical to Agent-Reach CLAUDE.md, differing in 7 lines, and is treated as a copy.
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