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Checked
f·vlatest·agents

This skill quickly finds information about any skill within the system, streamlining research and understanding capabilities.

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 f/prompts.chat --skill skill-lookup -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

f

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 passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • 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 undeclared network calls: passed

    Makes no network calls.

    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.

  • 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 f/prompts.chat at f78a1c5136.

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

Scanned
1 file, 75 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 f-skill-lookup skill allows users to search for and discover AI agent skills within a registry, providing information about their authors, categories, install counts, and descriptions. It enables efficient browsing and filtering of available skills based on specific criteria.

When to use it

  • You need to find a specific AI agent skill by name or author.
  • You want to explore new skills in the "other" category for potential installation.
  • You are looking for popular or widely-used skills with high install counts.
  • You're trying to understand what skills are available before deciding which ones to use.

Key capabilities

  • Search and filter AI agent skills by name, author, or category.
  • View detailed information about each skill, including install count and description.
  • Browse a registry of skills for discovery and installation purposes.

Example prompts

  • "Find all skills in the 'other' category with more than 200 installs."
  • "Show me details about the skill authored by 'f' called 'skill-lookup'."
  • "What are some popular AI agent skills available for installation?"

Tips & gotchas

  • Ensure you're using a compatible platform or interface that supports querying this registry.
  • The install count may not reflect real-time usage, so consider it as an indicator rather than an exact metric.