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 mysleekdesigns/crawlforge-mcp --skill crawlforge-structured-extractiongit clone --depth 1 https://github.com/mysleekdesigns/crawlforge-mcpWrote 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/mysleekdesigns/crawlforge-mcp/crawlforge-structured-extraction)<a href="https://agentmods.dev/skills/mysleekdesigns/crawlforge-mcp/crawlforge-structured-extraction"><img src="https://agentmods.dev/badge/skills/mysleekdesigns/crawlforge-mcp/crawlforge-structured-extraction/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/mysleekdesigns/crawlforge-mcp/crawlforge-structured-extraction"><img src="https://agentmods.dev/badge/skills/mysleekdesigns/crawlforge-mcp/crawlforge-structured-extraction.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 | $0.00172 | $0.01820 |
| Opus 5 | $0.00086 | $0.00910 |
| Sonnet 5 | $0.00034 | $0.00364 |
| Haiku 4.5 | $0.00017 | $0.00182 |
Grade A, and why
crawlforge-structured-extraction 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 3d 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 — 145 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CrawlForge Structured Extraction & Analysis
Turn pages and documents into structured data, and run NLP analysis. Pick the extraction method by how predictable the page is and whether an LLM is needed.
Tool selection
| You have / want | Tool | Cost |
|---|---|---|
| A well-known site (Amazon, GitHub, LinkedIn...) | scrape_template |
1 |
| Exact CSS selectors for the fields | scrape_structured |
2 |
| The data is in the page's JS state, not its HTML | extract_embedded_state |
2 |
| A JSON schema to fill (LLM, CSS fallback) | extract_structured |
3 |
| A natural-language extraction instruction | extract_with_llm |
3 |
| A PDF / DOCX / TXT to parse | process_document |
2 |
| A summary of long text | summarize_content |
4 |
| Sentiment / entities / keywords / readability | analyze_content |
3 |
| To list local LLMs available for extraction | list_ollama_models |
1 |
Cheapest-first rule: try scrape_template → scrape_structured /
extract_embedded_state (all deterministic) before reaching for the LLM tools.
On a React/Next/Nuxt page the values are usually sitting in the embedded state
already, exact and typed — that beats asking a model to read them off the render.
extract_embedded_state — the page's own JS state (cost: 2)
{ "tool": "extract_embedded_state", "params": { "url": "https://www.ticketmaster.com/discover/concerts", "path": "next_data.props.pageProps" } }
Finds __NEXT_DATA__, self.__next_f (React Server Component payloads),
window.__NUXT__, __APOLLO_STATE__, __INITIAL_STATE__, __PRELOADED_STATE__
and <script type="application/json"> blocks, keyed by source name. No LLM in
the path, so values are exact rather than inferred.
These payloads are routinely over a megabyte — pass path (dotted keys and
array indexes, e.g. next_data.props.pageProps or next_f[0].f) to return one
subtree. Without it, a large result comes back with a warning naming the biggest
source and a ready-to-paste path.
What ships with it
1 file 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.
- 3d ago Changed 945406557925
- 8d ago First seen · 145 lines · 172 tokens per session scan A 12958dfa7524
crawlforge-structured-extraction is a skill published in the GitHub repository mysleekdesigns/crawlforge-mcp (2 stars, last pushed today), licensed MIT. It adds 172 tokens to every session and 1,820 once invoked, about $0.0009 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 2026-08-31.
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