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 tdimino/claude-code-minoan --skill firecrawlgit clone --depth 1 https://github.com/tdimino/claude-code-minoanWrote 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/tdimino/claude-code-minoan/firecrawl)<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.
<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>- NVIDIA SkillSpector warn
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]
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 | $0.00116 | $0.04757 |
| Opus 5 | $0.00058 | $0.02379 |
| Sonnet 5 | $0.00023 | $0.00951 |
| Haiku 4.5 | $0.00012 | $0.00476 |
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.
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.
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
What ships with it
12 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.
- README.md 11 KB
- references/actions-reference.md 4.7 KB
- references/branding-format.md 4.1 KB
- references/cli-reference.md 6.3 KB
- references/firecrawl-agent-api.md 12 KB
- references/firecrawl-api.md 12 KB
- references/interact-reference.md 6.3 KB
- references/python-api-reference.md 12 KB
- scripts/deepwiki.sh 5.7 KB runs code
- scripts/filter_web_results.py 7.3 KB runs code
- scripts/firecrawl_api.py 75 KB runs code
- scripts/test_firecrawl.py 20 KB runs code
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.
- 8d ago First seen · 412 lines · 116 tokens per session scan A 0d52b2a9e269
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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