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 skills add M0-AR/agent-reach-mcp --skill skillgit 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/skills/m0-ar/agent-reach-mcp/skill)<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>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 | $0.00301 | $0.01568 |
| Opus 5 | $0.00151 | $0.00784 |
| Sonnet 5 | $0.00060 | $0.00314 |
| Haiku 4.5 | $0.00030 | $0.00157 |
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" 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)
- Health-check before acting: for multi-backend platforms (XiaoHongShu /
Reddit / Bilibili / Twitter), run
agent-reach doctor --jsonfirst and pick the command group matching each platform'sactive_backend. - Announce what you use: say "using agent-reach, platform X via backend Y" before starting.
- On failure, follow the retry chains in references/ — never guess commands.
- For broad research tasks: combine platforms (Exa for web search + Twitter/Reddit for discussions + XiaoHongShu/Bilibili for Chinese perspectives), collect in parallel, then synthesize.
- 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
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.
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.
- 7d ago First seen · 144 lines · 301 tokens per session scan A d99f4569c3df
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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