A guide for using Agent Reach, a command-line service that lets AI agents read web pages and search sources such as GitHub, Reddit, YouTube, RSS feeds, and social platforms.

Use it to research topics, read web pages, inspect repositories and issues, retrieve video subtitles, search Reddit, parse RSS feeds, and monitor online sources.

It gives an agent a consistent way to fetch current information from the internet. It also includes setup checks and alternative methods when one source cannot be accessed.

agent-reach — Skill for Claude Code and Codex by Kevin-Liu-01

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 Kevin-Liu-01/Agent-Machines --skill agent-reach

Clone the repo

git clone --depth 1 https://github.com/Kevin-Liu-01/Agent-Machines

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/kevin-liu-01/agent-machines/agent-reach/github.svg)](https://agentmods.dev/skills/kevin-liu-01/agent-machines/agent-reach)

Your own site

<a href="https://agentmods.dev/skills/kevin-liu-01/agent-machines/agent-reach"><img src="https://agentmods.dev/badge/skills/kevin-liu-01/agent-machines/agent-reach/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/kevin-liu-01/agent-machines/agent-reach"><img src="https://agentmods.dev/badge/skills/kevin-liu-01/agent-machines/agent-reach.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 147 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 906 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. Third-party audits

NVIDIA SkillSpector warn 7 Sept 2026

SkillSpector: 5 findings, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

high YARA Match · line 62
YARA rule matched a known malware signature (reverse shell, backdoor, ransomware, C2 framework, or info stealer).

Fix: Remove the malware payload or compromised file entirely. Investigate how it entered the skill and audit all other artifacts for additional indicators of compromise.
medium MCP Rug Pull · line 31
npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.

Fix: Pin the version: npx @scope/[email protected]
medium MCP Rug Pull · line 75
npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.

Fix: Pin the version: npx @scope/[email protected]
medium MCP Rug Pull · line 84
npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.

Fix: Pin the version: npx @scope/[email protected]
medium MCP Rug Pull · line 85
npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.

Fix: Pin the version: npx @scope/[email protected]

How audits are shown

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.

Model	Per session	Once invoked
Fable 5.1	$0.00147	$0.00906
Opus 5	$0.00073	$0.00453
Sonnet 5	$0.00029	$0.00181
Haiku 4.5	$0.00015	$0.00091

Measured 11d ago against content hash 6e3d96282d84, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, 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 11d 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"

knowledge/skills/agent-reach/SKILL.md · 103 lines

How it starts

The opening of the file, as written. The whole thing — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agent Reach — Internet Access for Agents

Give AI agents the ability to read the entire internet. One CLI install, zero API fees. Based on Agent Reach (16K+ GitHub stars).

Prerequisites

# Check if installed
agent-reach doctor

# Install if needed
pipx install https://github.com/Panniantong/agent-reach/archive/main.zip
agent-reach install --env=auto

Platform Quick Reference

Zero-Config (works immediately)

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

# Read any web page (fallback — local, no API dependency)
npx defuddle parse URL --markdown

# YouTube — get video metadata + subtitles
yt-dlp --dump-json "https://youtube.com/watch?v=xxx"
yt-dlp --write-sub --skip-download "URL"

# GitHub — repos, issues, PRs
gh repo view owner/repo
gh search repos "LLM framework" --sort stars
gh issue list -R owner/repo

# Reddit — search and read
rdt search "query"
rdt read POST_ID

# RSS — parse any feed
python3 -c "import feedparser; f=feedparser.parse('URL'); print([e.title for e in f.entries[:10]])"

# Exa semantic search (via MCP)
mcporter call 'exa.web_search_exa(query: "topic", num_results: 10)'

Cookie-Required (configure first)

# Twitter/X — search, read, timeline
twitter search "query" -n 10
twitter tweet URL
twitter timeline -n 20

# Configure Twitter cookies (one-time):
# User exports cookies from Cookie-Editor Chrome extension
agent-reach configure twitter-cookies "COOKIE_STRING"

Multi-Platform Research Pattern

When asked to research a topic, combine platforms:

twitter search "topic" -n 10 — real-time discussion and sentiment
yt-dlp --dump-json URL — deep-dive video transcripts
gh search repos "topic" --sort stars — implementations and tools
rdt search "topic" — community discussions and troubleshooting
mcporter call 'exa.web_search_exa(query: "topic")' — semantic web search
curl -s "https://r.jina.ai/URL" — read specific articles (fallback: npx defuddle parse URL --markdown)

Read the full file on GitHub · 103 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.

11d ago First seen · 103 lines · 147 tokens per session scan A 6e3d96282d84

Subscribe to this mod's changes

agent-reach is a skill published in the GitHub repository Kevin-Liu-01/Agent-Machines (29 stars, last pushed yesterday), licensed MIT. It adds 147 tokens to every session and 906 once invoked, about $0.0007 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 2026-08-30.

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agent-reach