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Generate Agents Md

Checked
pc-style·vlatest·agents

Creates detailed markdown files describing PC-style agents, including stats, abilities, and background stories.

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 pc-style/pc-skills --skill generate-agents-md -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

pc-style

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 pc-style/pc-skills at ef3df443c3.

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

Commit
ef3df443c3
Manifest
generate-agents-md/SKILL.md
Scanned
1 file, 57 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

This skill, generate-agents-md, allows you to create Markdown files suitable for AI agent skill guides. It formats information into a structured guide with sections like "What it Does," "When to Use It," and "Key Capabilities." The output is designed to be easily readable and maintainable for documenting AI agent skills.

When to use it

  • Documenting new AI agent capabilities: Quickly generate initial drafts of skill guides.
  • Standardizing skill documentation: Ensure consistent formatting across all your AI agent skills.
  • Creating training materials: Produce clear, concise guides for users learning about specific skills.
  • Automating repetitive tasks: Reduce the manual effort involved in creating skill documentation.

Key capabilities

  • Markdown generation: Creates files formatted in Markdown syntax.
  • Structured formatting: Organizes content into predefined sections (What it Does, When to Use It, etc.).
  • Skill guide template: Uses a consistent template for AI agent skill documentation.

Example prompts

  • "Generate a skill guide for an 'image-recognition' skill."
  • "Create a Markdown document describing the 'text-summarization' capability."
  • "Write a skill guide outlining the functionality of the 'data-analysis' tool."

Tips & gotchas

The quality of the generated Markdown depends on the clarity and detail provided in the input data. Ensure you have sufficient information about the skill before using this tool to produce comprehensive documentation.