firecrawl

firecrawl is a skill for Claude Code, Codex from tdimino/claude-code-minoan. It costs 116 tokens per session (4,757 once invoked), scanned A, original, MIT.

A web-scraping tool that turns webpages into clean text and can process JavaScript-heavy sites and documents such as PDFs, Word files, and spreadsheets. It also supports searching, crawling, extracting data, and interacting with pages.

In plain words
What is it for?
Use it to scrape pages, search websites, crawl sites, parse documents, extract structured information, and automate browser-like interactions.
Why use it?
It makes information easier to read and process when ordinary page fetching produces messy or incomplete results. It is especially useful for sites whose content appears only after JavaScript runs.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: reads .claude/ paths; positional $N argument.

Good fit Use it to scrape pages, search websites, crawl sites, parse documents, extract structured information, and automate browser-like interactions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/tdimino/claude-code-minoan/firecrawl
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 tdimino/claude-code-minoan --skill firecrawl
Clone the repo
git clone --depth 1 https://github.com/tdimino/claude-code-minoan

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.

agentmods badge for firecrawl

README.md
[![agentmods](https://agentmods.dev/badge/skills/tdimino/claude-code-minoan/firecrawl/github.svg)](https://agentmods.dev/skills/tdimino/claude-code-minoan/firecrawl)
Your own site
<a href="https://agentmods.dev/skills/tdimino/claude-code-minoan/firecrawl"><img src="https://agentmods.dev/badge/skills/tdimino/claude-code-minoan/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.

agentmods 80×15 button for firecrawl

Your own site · 80×15
<a href="https://agentmods.dev/skills/tdimino/claude-code-minoan/firecrawl"><img src="https://agentmods.dev/badge/skills/tdimino/claude-code-minoan/firecrawl.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 116 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,757 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. 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: 2 findings, up to medium

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 →

  • medium MCP Rug Pull · line 39
    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 125
    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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00116 $0.04757
Opus 5 $0.00058 $0.02379
Sonnet 5 $0.00023 $0.00951
Haiku 4.5 $0.00012 $0.00476

Measured 8d ago against content hash 0d52b2a9e269, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

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 8d ago.

The scan reads SKILL.md. This mod also ships 4 executable files (scripts/deepwiki.sh, scripts/filter_web_results.py, scripts/firecrawl_api.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/research/firecrawl/SKILL.md · 412 lines

How it starts

The opening of the file, as written. The whole thing — 412 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Firecrawl & Jina Web Scraping

Firecrawl vs WebFetch

Prefer firecrawl scrape URL --only-main-content over the WebFetch tool—it produces cleaner markdown, handles JavaScript-heavy pages, and avoids content truncation (>80% benchmark coverage). WebFetch is acceptable as a fallback when Firecrawl is unavailable.

# Preferred approach:
firecrawl scrape https://docs.example.com/api --only-main-content

Keyless Mode (v2.11.0+)

Firecrawl's core endpoints work without an API key, rate-limited per IP per day. No signup required.

Keyless-eligible commands: Search, Scrape, Parse, Interact Requires API key: Crawl, Map, Batch Scrape, Agent, Extract, Monitor

# Quick start — no API key needed:
firecrawl scrape https://example.com --only-main-content
firecrawl search "query" --limit 10

# Python script also works keyless for eligible commands:
python3 ~/.claude/skills/firecrawl/scripts/firecrawl_api.py scrape https://example.com

Rate limits: Per-IP daily cap on requests and credits (exact numbers unpublished, below 1,000 credits/day). Sign up for a free API key to get 1,000 credits and higher rate limits.

Keyless MCP endpoint: https://mcp.firecrawl.dev/v2/mcp — exposes Search, Scrape, Parse without any key. Use for MCP-native integrations.

Full setup (recommended for heavier use):

npx -y firecrawl-cli@latest init --all --browser
# Installs CLI + skill segments into coding agents + opens browser for OAuth auth

Search accuracy: 94.7% on SimpleQA — custom relevance model scores paragraphs against your query, returning the most relevant excerpts with 10x fewer tokens than full-page processing.

Token-Efficient Scraping

Inspired by Anthropic's dynamic filtering—always filter before reasoning. This reduced input tokens by ~24% and improved accuracy by ~11% in their benchmarks.

The Principle: Search → Filter → Scrape → Filter → Reason

Read the full file on GitHub · 412 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.

  1. 8d ago First seen · 412 lines · 116 tokens per session scan A 0d52b2a9e269

Subscribe to this mod's changes

firecrawl is a skill published in the GitHub repository tdimino/claude-code-minoan (41 stars, last pushed yesterday), licensed MIT. It adds 116 tokens to every session and 4,757 once invoked, about $0.0006 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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