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 citedy/adclaw --skill sitefetchgit clone --depth 1 https://github.com/citedy/adclawWrote 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/citedy/adclaw/sitefetch)<a href="https://agentmods.dev/skills/citedy/adclaw/sitefetch"><img src="https://agentmods.dev/badge/skills/citedy/adclaw/sitefetch/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/citedy/adclaw/sitefetch"><img src="https://agentmods.dev/badge/skills/citedy/adclaw/sitefetch.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00036 | $0.00591 |
| Opus 5 | $0.00018 | $0.00296 |
| Sonnet 5 | $0.00007 | $0.00118 |
| Haiku 4.5 | $0.00004 | $0.00059 |
Grade A, and why
Site Fetcher 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 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.
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.
What it actually says
Site Fetcher (sitefetch)
Fetch an entire website (or specific pages) as clean readable text — ready for AI analysis.
Quick Usage
# Fetch entire site
sitefetch https://example.com -o site.txt
# Fetch only blog posts
sitefetch https://example.com --match '/blog/**' -o blog.txt
# Fetch with higher concurrency (faster)
sitefetch https://example.com --concurrency 10 -o site.txt
# Fetch specific section
sitefetch https://docs.example.com --match '/api/**' -o api-docs.txt
When to Use
- Competitor analysis: fetch their site, analyze content strategy
- Content audit: get all pages as text, find gaps
- SEO research: extract all content from a domain
- Documentation gathering: pull docs site into one file
- Before/after comparison: fetch site, make changes, fetch again
Output
Creates a single text file with all pages concatenated. Each page is separated with its URL. Content is extracted using Mozilla Readability (same as Firefox Reader View) — no ads, navs, footers.
Options
-o, --output <file>— output file path (default: stdout)--match <glob>— only fetch pages matching glob pattern--concurrency <n>— parallel requests (default: 5)
Examples
Analyze competitor blog
sitefetch https://competitor.com --match '/blog/**' -o /tmp/competitor-blog.txt
# Then read and analyze the file
Full site content audit
sitefetch https://mysite.com -o /tmp/mysite-content.txt
# Analyze for thin content, duplicates, missing topics
Grab documentation
sitefetch https://docs.library.com -o /tmp/docs.txt
# Use as reference for implementation
Notes
- HTTP only (no JavaScript rendering) — for JS-heavy SPAs use
agent-browserinstead - Respects robots.txt
- Works best on content-heavy sites (blogs, docs, marketing pages)
- For single interactive pages, prefer
agent-browser
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 · 78 lines · 36 tokens per session scan A 36e25b86d816
Site Fetcher is a skill published in the GitHub repository citedy/adclaw (36 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 36 tokens to every session and 591 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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