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Github Automation

Checked
aaaaqwq·vlatest·backend·MIT

Helps with GitHub, automation as part of agent workflows workflows.

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 aaaaqwq/agi-super-team --skill github-automation -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

aaaaqwq

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 aaaaqwq/claude-code-skills at 331ecd3c1d.

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

Commit
331ecd3c1d
Manifest
skills/github-automation/SKILL.md
Scanned
1 file, 377 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

github-automation

What it does

This skill enables AI agents to interact with GitHub repositories, streamlining version control workflows and project management tasks. It allows for direct manipulation of code repositories through natural language commands.

When to use it

  • Automating routine repository maintenance tasks like creating branches or merging pull requests.
  • Managing issue tracking by generating, updating, or closing GitHub issues based on context.
  • Deploying code changes directly from the agent's environment to a remote repository.
  • Retrieving commit history or file contents without manual CLI navigation.

Key capabilities

  • Repository management and version control operations.
  • Issue tracking and project workflow automation.
  • Direct interaction with GitHub APIs via natural language.
  • Streamlined deployment processes integrated into the agent's workflow.

Example prompts

  • "Create a new branch named 'feature-login' based on main and open a pull request."
  • "Find all open issues labeled 'bug' in this repository and summarize them."
  • "Deploy the latest changes to the staging environment by pushing to the remote repo."

Tips & gotchas

Ensure your AI agent has appropriate read/write permissions for the target GitHub repositories before attempting write operations. Verify that the specific repository is public or accessible via authenticated tokens if private access is required.