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Create Skill From Repo

Checked
hairyf·vlatest·backend·MIT

Automatically generate a new AI agent skill from code examples found within a specified GitHub repository.

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 hairyf/skills --skill create-skill-from-repo -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

hairyf

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 hairyf/skills at 8a84374860.

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

Commit
8a84374860
Manifest
skills/create-skill-from-repo/SKILL.md
Scanned
2 files, 154 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

The create-skill-from-repo skill allows users to discover and install custom capabilities directly from GitHub repositories, expanding an AI agent's functionality with community-built tools. It streamlines the integration process by handling the retrieval and setup of external codebases without manual configuration.

When to use it

  • You need to add specialized logic that isn't available in the core skill library.
  • You want to leverage existing open-source projects to extend your agent's domain expertise.
  • You are building a custom workflow and require specific utility functions hosted on GitHub.
  • You prefer installing skills from source code rather than pre-packaged binaries.

Key capabilities

  • Discovery of available skills hosted on public repositories.
  • Direct installation of skill packages into the agent environment.
  • Retrieval of repository metadata to verify compatibility before deployment.

Example prompts

  • "Install a Python data processing library from my GitHub repo user/data-tools."
  • "Find and add a natural language translation skill from the ai-community/nl-translate repository."
  • "Set up a custom API wrapper skill using the code in devops/api-helper."

Tips & gotchas

Ensure the target repository contains a valid installation manifest or script compatible with the agent's runtime environment. Verify that external dependencies required by the repo are accessible to the agent before attempting installation.