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 0xmariowu/Autosearch --skill fetch-firecrawlgit clone --depth 1 https://github.com/0xmariowu/AutosearchWrote 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/0xmariowu/autosearch/fetch-firecrawl)<a href="https://agentmods.dev/skills/0xmariowu/autosearch/fetch-firecrawl"><img src="https://agentmods.dev/badge/skills/0xmariowu/autosearch/fetch-firecrawl/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/0xmariowu/autosearch/fetch-firecrawl"><img src="https://agentmods.dev/badge/skills/0xmariowu/autosearch/fetch-firecrawl.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00049 | $0.00385 |
| Opus 5.5 | $0.00020 | $0.00154 |
| Sonnet 5.5 | $0.00010 | $0.00077 |
| Haiku 4.5 | $0.00005 | $0.00038 |
Grade A, and why
fetch-firecrawl 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 6d 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
Overview
Firecrawl turns any URL into clean Markdown via a managed browser cluster. Handles JS rendering, anti-bot defenses, and PDFs. Paid per-page; requires FIRECRAWL_API_KEY. When the key is missing, doctor() reports warn.
When to Choose It
- Page is heavily JS-rendered (SPA, React, Next.js)
- Target site blocks
fetch-jinaorfetch-crawl4ai - PDF or document conversion needed
How To Use
Call via run_channel("fetch-firecrawl", url) where the query IS the URL to scrape.
Returns one Evidence item with body = full Markdown content.
Quality Bar
- Evidence items have non-empty title and url.
- No crash on empty or malformed API response.
- Source channel field matches the channel name.
What ships with it
2 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.
- 6d ago First seen · 46 lines · 49 tokens per session scan A 429e9a2829e3
fetch-firecrawl is a skill published in the GitHub repository 0xmariowu/Autosearch (50 stars, last pushed 6d ago), licensed MIT. It adds 49 tokens to every session and 385 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-10-11.
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