crawlforge-structured-extraction

crawlforge-structured-extraction is a skill for Claude Code, Codex from mysleekdesigns/crawlforge-mcp. It costs 172 tokens per session (1,820 once invoked), scanned A, original, MIT.

A toolkit for turning web pages and documents into structured JSON data, and for analyzing or summarizing text.

In plain words
What is it for?
Use it to scrape known websites, select fields with CSS selectors, extract data with an LLM, parse documents, summarize content, or find sentiment, entities, keywords, and readability.
Why use it?
It helps when information is spread across different page formats, embedded page data, PDFs, DOCX files, or long text.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to scrape known websites, select fields with CSS selectors, extract data with an LLM, parse documents, summarize content, or find sentiment, entities, keywords, and readability.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/mysleekdesigns/crawlforge-mcp/crawlforge-structured-extraction
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 mysleekdesigns/crawlforge-mcp --skill crawlforge-structured-extraction
Clone the repo
git clone --depth 1 https://github.com/mysleekdesigns/crawlforge-mcp

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 crawlforge-structured-extraction

README.md
[![agentmods](https://agentmods.dev/badge/skills/mysleekdesigns/crawlforge-mcp/crawlforge-structured-extraction/github.svg)](https://agentmods.dev/skills/mysleekdesigns/crawlforge-mcp/crawlforge-structured-extraction)
Your own site
<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.

agentmods 80×15 button for crawlforge-structured-extraction

Your own site · 80×15
<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>
Per session 172 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,820 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.
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 $0.00172 $0.01820
Opus 5 $0.00086 $0.00910
Sonnet 5 $0.00034 $0.00364
Haiku 4.5 $0.00017 $0.00182

Measured 3d ago against content hash 945406557925, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

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.

src/skills/agent-skills/crawlforge-structured-extraction/SKILL.md · 145 lines

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_templatescrape_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.

Read the full file on GitHub · 145 lines

Files

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.

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. 3d ago Changed 945406557925
  2. 8d ago First seen · 145 lines · 172 tokens per session scan A 12958dfa7524

Subscribe to this mod's changes

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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