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Github Automation

Listed
sickn33·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 sickn33/agentic-awesome-skills --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

sickn33

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.

  • Declares what it does: failed

    No SKILL.md was found in the skill's directory.

    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 sickn33/agentic-awesome-skills at c808e6e480.

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

Commit
c808e6e480
Manifest
skills/github-automation/SKILL.md
Scanned
0 files
Copies in repo
3 — all of them scanned
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 github-automation skill enables AI agents to interact directly with GitHub repositories, streamlining version control workflows and repository management tasks. It allows agents to execute commands, manage issues, and handle pull requests without manual intervention.

When to use it

  • Automating routine repository maintenance tasks like updating dependencies or running linters.
  • Creating or closing issues based on detected bugs in code analysis results.
  • Managing pull request workflows by approving changes or requesting modifications.
  • Deploying updates to production environments directly from the agent's execution context.

Key capabilities

  • Direct interaction with GitHub API endpoints for repository management.
  • Execution of shell commands within GitHub Actions workflows.
  • Automated issue and pull request lifecycle management.
  • Integration with version control systems for seamless code collaboration.

Example prompts

  • "Create a new issue in the current repository to track the memory leak found in line 45."
  • "Run the linter on the latest branch and report any errors back to me."
  • "Approve the pending pull request if all checks pass and merge it into main."

Tips & gotchas

Ensure your AI agent has appropriate GitHub tokens with sufficient permissions before attempting repository modifications. Be cautious when automating destructive actions like force pushes or deleting branches without explicit confirmation mechanisms.