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 Kevin-Liu-01/Agent-Machines --skill agent-reachgit clone --depth 1 https://github.com/Kevin-Liu-01/Agent-MachinesWrote 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/kevin-liu-01/agent-machines/agent-reach)<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.
<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>- NVIDIA SkillSpector warn
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]
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 5.5 | $0.00059 | $0.00362 |
| Sonnet 5.5 | $0.00029 | $0.00181 |
| Haiku 4.5 | $0.00015 | $0.00091 |
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 2mo 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 — 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 sentimentyt-dlp --dump-json URL— deep-dive video transcriptsgh search repos "topic" --sort stars— implementations and toolsrdt search "topic"— community discussions and troubleshootingmcporter call 'exa.web_search_exa(query: "topic")'— semantic web searchcurl -s "https://r.jina.ai/URL"— read specific articles (fallback:npx defuddle parse URL --markdown)
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.
- 2mo ago First seen · 103 lines · 147 tokens per session scan A 6e3d96282d84
agent-reach is a skill published in the GitHub repository Kevin-Liu-01/Agent-Machines (30 stars, last pushed 7d ago), licensed MIT. It adds 147 tokens to every session and 906 once invoked, about $0.0006 per session on Opus 5.5. 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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