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Github Project Automation

Listed
ovachiever·vlatest·backend

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 ovachiever/droid-tings --skill github-project-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

ovachiever

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.

  • No undeclared network calls: failed

    Contacts 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: www.yamllint.com.

    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.

    Hosts contacted

    www.yamllint.comundeclaredgithub.comsource hostregistry.npmjs.orgpackage registry

    What it found

    • skills/github-project-automation/scripts/validate-workflows.sh:196contacts www.yamllint.com
      echo "  - Online validator: https://www.yamllint.com/"

  • 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 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 ovachiever/droid-tings at 7acd12a754.

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

Commit
7acd12a754
Manifest
skills/github-project-automation/SKILL.md
Scanned
32 files, 4,551 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 github-project-automation skill enables AI agents to interact directly with GitHub repositories, allowing them to manage project workflows and automate routine tasks within the platform. It serves as a bridge between conversational commands and specific GitHub API actions for repository management.

When to use it

  • Automating repetitive maintenance tasks like updating issue statuses or closing resolved bugs.
  • Triggering automated responses to new pull requests or code reviews.
  • Managing project documentation by creating or updating README files based on prompts.
  • Coordinating release notes generation after successful merges into main branches.

Key capabilities

  • Direct interaction with GitHub repositories via API integration.
  • Execution of project management workflows through natural language commands.
  • Automation of standard development lifecycle events.

Example prompts

  • "Create a new issue in the repository labeled 'bug' and assign it to @dev_user."
  • "Update the README.md file with the latest release notes for version 2.0."
  • "Close all issues marked as 'fixed' in the current sprint."

Tips & gotchas

Ensure your AI agent has appropriate read/write permissions for the target GitHub repositories before attempting automation tasks. Complex workflows may require pre-defined rules or scripts to function correctly within the platform's constraints.