agent-reach-mcp: Instructions file for Claude Code

CLAUDE.md

agent-reach-mcp CLAUDE.md is an instructions file for Claude Code from M0-AR/agent-reach-mcp. It costs 626 tokens per session, scanned A, a copy of Agent-Reach CLAUDE.md, MIT.

A set of project instructions for Agent Reach, a Python tool that gives AI agents read and search access to 13 internet platforms. It documents the project files, commands, conventions, and development practices.

In plain words
What is it for?
Use it when developing or maintaining Agent Reach, running its tests and diagnostics, configuring it, or understanding its Python and MCP server structure.
Why use it?
It gives coding agents and contributors shared rules for understanding and changing the repository. It also records how to install, test, diagnose, and configure the project.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md. Also seen: mentions CLAUDE.md; built for openclaw.

This is M0-AR/agent-reach-mcp's own configuration. It tells Claude Code how to work on agent-reach-mcp itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything agent-reach-mcp configures →

Reuse

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.

Copy the file
curl -O https://raw.githubusercontent.com/M0-AR/agent-reach-mcp/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/M0-AR/agent-reach-mcp

Made for: Claude Code.

Wrote 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.

agentmods badge for agent-reach-mcp CLAUDE.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/m0-ar/agent-reach-mcp/claude-md/github.svg)](https://agentmods.dev/instructions/m0-ar/agent-reach-mcp/claude-md)
Your own site
<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.

agentmods 80×15 button for agent-reach-mcp CLAUDE.md

Your own site · 80×15
<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>
Per session 626 This file is loaded in full into every session.
When invoked 626 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 92% copy Near-identical to another mod in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured 9d ago against content hash 4a883e5d91e2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

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.

Origin

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.

CLAUDE.md · 46 lines

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 install
  • pytest tests/ -v — All tests
  • pytest tests/test_cli.py -v — CLI tests only
  • bash test.sh — Full integration test (creates venv, installs, runs doctor + channel tests)
  • python -m agent_reach.cli doctor — Run diagnostics
  • python -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 logic
  • agent_reach/config.py — Config management (YAML, env vars)
  • agent_reach/doctor.py — Diagnostics engine
  • agent_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 integration
  • agent_reach/skill/ — OpenClaw skill files
  • agent_reach/guides/ — Usage guides
  • tests/ — pytest tests
  • config/mcporter.json — MCP tool config

Conventions

  • Python 3.10+ with type hints
  • Each channel is a single file in channels/, inherits from BaseChannel
  • Channel contract: must implement can_handle(url), read(url), search(query), check() methods
  • Use loguru for logging, rich for 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/ -v before 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)

Read the full file on GitHub · 46 lines

Changes

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.

  1. 9d ago First seen · 46 lines · 626 tokens per session scan A 4a883e5d91e2

Subscribe to this mod's changes

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.

Related

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.

vercel/next.js · 7,296 tokens

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.

openai/codex · 5,153 tokens

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).

microsoft/vscode · 6,785 tokens

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).

microsoft/vscode · 5,001 tokens

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.

langchain-ai/langchain · 4,469 tokens

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.

deepseek-ai/deepseek-harness · 3,735 tokens