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 agentmods add skills/firecrawl/firecrawl-workflows/firecrawl-knowledge-ingestnpx skills add firecrawl/firecrawl-workflows --skill firecrawl-knowledge-ingestgit clone --depth 1 https://github.com/firecrawl/firecrawl-workflowsWrote 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/firecrawl/firecrawl-workflows/firecrawl-knowledge-ingest)<a href="https://agentmods.dev/skills/firecrawl/firecrawl-workflows/firecrawl-knowledge-ingest"><img src="https://agentmods.dev/badge/skills/firecrawl/firecrawl-workflows/firecrawl-knowledge-ingest.svg" alt="Measured on agentmods" 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 | $0.00052 | $0.00509 |
| Opus 5 | $0.00026 | $0.00254 |
| Sonnet 5 | $0.00010 | $0.00102 |
| Haiku 4.5 | $0.00005 | $0.00051 |
Grade A, and why
firecrawl-knowledge-ingest 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 5d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- firecrawl-knowledge-ingest — 100% identical, 0 lines differ
What it actually says
Firecrawl Knowledge Ingest
Use this when a docs portal needs browser navigation, auth, pagination, or JS rendering.
Onboarding Interview
Infer the portal URL, output format, auth needs, and page limit from context. If the portal is clear, proceed immediately.
Ask at most 1-3 concise questions only if blocked, such as the portal URL, whether authentication is required, or the desired output format.
Firecrawl Collection Plan
Use Firecrawl browser to:
- open the portal and inspect navigation
- identify sections, categories, sidebar links, and article URLs
- follow sidebar navigation, next links, pagination, load-more controls, or search
- scrape article content as markdown
- extract metadata such as title, section, last updated date, author, and tags
Try Firecrawl map as a supplement for public URLs, but use browser navigation for auth-gated or JS-heavy content.
Final Deliverable
# Knowledge Ingest: [Portal]
## Summary
[Pages extracted, sections covered, limitations]
## Output
[JSON/markdown/merged file path or content]
## Sections
[Section names and article counts]
## Failed Or Restricted Pages
[Any access/loading issues]
## Sources
[URLs extracted]
## Rerun Inputs
workflow: firecrawl-knowledge-ingest
url: [portal url]
format: [json/markdown/merged]
max_pages: [number]
JSON Shape
Use source, url, extractedAt, totalArticles, and sections[] with article title, url, section, content, and metadata.
Quality Bar
- Preserve code examples, tables, and formatting.
- Strip nav chrome, headers, and footers.
- Track extraction progress and page failures.
- Respect authentication boundaries.
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.
- 5d ago First seen · 75 lines · 52 tokens per session scan A 2b8cbf4b0fae
firecrawl-knowledge-ingest is a skill published in the GitHub repository firecrawl/firecrawl-workflows (150 stars, last pushed 14d ago), licensed ISC. It adds 52 tokens to every session and 509 once invoked, about $0.0003 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 2026-08-30.
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