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 elasticdotventures/_b00t_ --skill firecrawlgit clone --depth 1 https://github.com/elasticdotventures/_b00t_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.
[](https://agentmods.dev/skills/elasticdotventures/_b00t_/firecrawl)<a href="https://agentmods.dev/skills/elasticdotventures/_b00t_/firecrawl"><img src="https://agentmods.dev/badge/skills/elasticdotventures/_b00t_/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/elasticdotventures/_b00t_/firecrawl"><img src="https://agentmods.dev/badge/skills/elasticdotventures/_b00t_/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 | $0.01550 |
| Opus 5.5 | $0.00020 | $0.00620 |
| Sonnet 5.5 | $0.00010 | $0.00310 |
| Haiku 4.5 | $0.00005 | $0.00155 |
Grade A, and why
firecrawl 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 1mo 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 -fsSL https://raw.githubusercontent.com/us/crw/main/install.sh | CRW_BINARY=crw sh The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
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.
- 1mo ago First seen · 231 lines · 49 tokens per session scan A dd79a350f5e1
firecrawl is a skill published in the GitHub repository elasticdotventures/_b00t_ (15 stars, last pushed 4d ago), with no licence file. It adds 49 tokens to every session and 1,550 once invoked, about $0.0002 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 2026-09-03.
Other skills, from other repositories
firecrawl
Scrape, search et interagit avec le web via Firecrawl — extrait du contenu propre en Markdown depuis n'importe quelle URL, recherche sur le web, crawl de sites entiers, et interaction avec des pages dynamiques (clics, formulaires). Clef API dans FIRECRAWLAPIKEY.
Web Read
Keeps direct URL reading and text extraction available when a specific page matters more than search results.
Web Search
Keeps lightweight public-web discovery available for prompts, scheduled jobs, and follow-up research.
web-scraping
Extract structured data from websites - scrape tables, lists, product info, text content.
browser-automation
Playwright-based browser automation patterns for autonomous web interaction.
firecrawl-extract
Firecrawl extraction specialist — scrape known URLs into clean markdown, map sites, crawl documentation and blog surfaces, and normalize content capture for downstream reasoning or indexing.