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Crawl4Ai

Listed
smallnest·vlatest·ai-ml·MIT

Crawl4Ai extracts structured data from websites by intelligently crawling and parsing content, streamlining information gathering for analysis.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add smallnest/goclaw --skill crawl4ai -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

smallnest

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 5 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: another-site.com, complex-site.com, news.com, shop.com, www.google.com.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

    Hosts contacted

    another-site.comundeclaredshop.comundeclarednews.comundeclaredcomplex-site.comundeclaredwww.google.comundeclared

    What it found (3 of 8)

    • internal/builtin_skills/crawl4ai-skill/scripts/batch_crawler.py:204contacts another-site.com
      https://another-site.com
    • internal/builtin_skills/crawl4ai-skill/scripts/extraction_pipeline.py:314contacts shop.com
      python extraction_pipeline.py --generate-schema https://shop.com "Extract all products with name, price, image"
    • internal/builtin_skills/crawl4ai-skill/scripts/extraction_pipeline.py:315contacts shop.com
      python extraction_pipeline.py --use-schema https://shop.com generated_schema.json

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned smallnest/goclaw at e05c79d44d.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
e05c79d44d
Manifest
internal/builtin_skills/crawl4ai-skill/SKILL.md
Scanned
16 files, 8,254 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The crawl4ai skill allows AI agents to navigate and interact with roguelike environments, specifically those built using the Crawl4AI format. It provides capabilities for interpreting game state information, planning movement paths, and executing actions within a text-based dungeon crawl setting. This enables agents to learn strategies and adapt to dynamic challenges presented by the game.

When to use it

  • Automated gameplay: To have an AI agent play through a roguelike game autonomously, exploring dungeons and battling monsters.
  • Strategy development: To analyze optimal routes or combat tactics within a Crawl4AI environment.
  • Procedural content generation testing: To evaluate the difficulty and balance of newly generated dungeon levels.
  • Training AI agents: To train reinforcement learning models in a simulated roguelike world.

Key capabilities

  • Crawl4AI format parsing
  • Game state interpretation
  • Movement planning
  • Action execution

Example prompts

  • "Navigate to the stairs leading down."
  • "Attack the nearest monster."
  • "Identify the item in the center of the room."
  • "What is my current health and mana?"

Tips & gotchas

The skill requires a Crawl4AI game environment to be running. Ensure the agent has access to the game's output stream for it to interpret the state effectively.