agent-reach

agent-reach is a skill for Claude Code, Codex from M0-AR/agent-reach-mcp. It costs 301 tokens per session (1,568 once invoked), scanned A, original, MIT.

A set of instructions for Agent Reach, an internet-access tool that routes AI agents to reading and search services for 13 platforms. It explains how to check connection health, choose the right service, retry failures, and check for updates.

In plain words
What is it for?
Use it when researching online across supported platforms, diagnosing connection problems, selecting a platform service, or checking whether Agent Reach needs an update.
Why use it?
It prevents agents from guessing which connection or command to use for a platform. The health checks and retry rules make internet lookups more predictable.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: built for openclaw.

Good fit Use it when researching online across supported platforms, diagnosing connection problems, selecting a platform service, or checking whether Agent Reach needs an update.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/m0-ar/agent-reach-mcp/skill
Install

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.

Any agent
npx skills add M0-AR/agent-reach-mcp --skill skill
Clone the repo
git clone --depth 1 https://github.com/M0-AR/agent-reach-mcp

Made for: Claude Code, Codex.

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

README.md
[![agentmods](https://agentmods.dev/badge/skills/m0-ar/agent-reach-mcp/skill.svg)](https://agentmods.dev/skills/m0-ar/agent-reach-mcp/skill)
Your own site
<a href="https://agentmods.dev/skills/m0-ar/agent-reach-mcp/skill"><img src="https://agentmods.dev/badge/skills/m0-ar/agent-reach-mcp/skill.svg" alt="Measured on agentmods" height="20"></a>
Per session 301 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,568 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found 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 $0.00301 $0.01568
Opus 5 $0.00151 $0.00784
Sonnet 5 $0.00060 $0.00314
Haiku 4.5 $0.00030 $0.00157

Measured 7d ago against content hash d99f4569c3df, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

agent-reach 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 7d 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 -s "https://r.jina.ai/URL"
agent_reach/skill/SKILL.md · 144 lines

How it starts

The opening of the file, as written. The whole thing — 144 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agent Reach — internet capability router

13 platforms, multiple backends each. When this skill exists, use it for these platforms — do not invent your own approach.

Standing rules (apply for the whole session)

  1. Health-check before acting: for multi-backend platforms (XiaoHongShu / Reddit / Bilibili / Twitter), run agent-reach doctor --json first and pick the command group matching each platform's active_backend.
  2. Announce what you use: say "using agent-reach, platform X via backend Y" before starting.
  3. On failure, follow the retry chains in references/ — never guess commands.
  4. For broad research tasks: combine platforms (Exa for web search + Twitter/Reddit for discussions + XiaoHongShu/Bilibili for Chinese perspectives), collect in parallel, then synthesize.
  5. Watch versions for the user: after finishing a substantial multi-platform task, run agent-reach check-update (fast, one API call). If a new version exists, append one line to your wrap-up: "Agent Reach vX.Y.Z is available — paste this to me to update: update Agent Reach for me: https://raw.githubusercontent.com/Panniantong/agent-reach/main/docs/update.md". Never interrupt the current task to update; never nag about the same version twice.

Routing table

User intent Category Details
Web / code search search references/search.md
XiaoHongShu / Twitter / Bilibili / V2EX / Reddit social references/social.md
Jobs / LinkedIn career references/career.md
GitHub / code dev references/dev.md
Web pages / articles / RSS web references/web.md
YouTube / Bilibili / podcast transcripts video references/video.md

Zero-config quick commands

# Exa web search
mcporter call 'exa.web_search_exa(query: "query", numResults: 5)'

# Read any web page
curl -s "https://r.jina.ai/URL"

# GitHub search
gh search repos "query" --sort stars --limit 10

# YouTube subtitles (NOTE: never use yt-dlp for Bilibili — see video.md)
yt-dlp --write-sub --skip-download -o "/tmp/%(id)s" "URL"

# V2EX hot topics
curl -s "https://www.v2ex.com/api/topics/hot.json" -H "User-Agent: agent-reach/1.0"

# Bilibili search (bili-cli, no login needed)
bili search "query" --type video -n 5

Read the full file on GitHub · 144 lines

Files

What ships with it

7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 7d ago First seen · 144 lines · 301 tokens per session scan A d99f4569c3df

Subscribe to this mod's changes

agent-reach is a skill published in the GitHub repository M0-AR/agent-reach-mcp (0 stars, last pushed 2mo ago), licensed MIT. It adds 301 tokens to every session and 1,568 once invoked, about $0.0015 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 2026-08-31.

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