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Github Copilot Cli Expert

Listed
rysweet·vlatest·backend

Master GitHub Copilot CLI commands to automate code generation, refactoring, and project setup with expert efficiency.

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 rysweet/amplihack --skill github-copilot-cli-expert -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

rysweet

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 2 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: gh.io.

    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

    gh.ioundeclared

    What it found (3 of 6)

    • .claude/skills/github-copilot-cli-expert/SKILL.md:56contacts gh.io
      curl -fsSL https://gh.io/copilot-install | bash
    • .claude/skills/github-copilot-cli-expert/reference.md:321contacts gh.io
      curl -fsSL https://gh.io/copilot-install | bash
    • .claude/skills/github-copilot-cli-expert/reference.md:331contacts gh.io
      curl -fsSL https://gh.io/copilot-install | VERSION="v0.0.393" bash

  • No pipe-to-shell installers: failed

    Runs code fetched at install time in 4 places.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

    What it found (3 of 4)

    • .claude/skills/github-copilot-cli-expert/SKILL.md:56remote script piped into a shell
      curl -fsSL https://gh.io/copilot-install | bash
    • .claude/skills/github-copilot-cli-expert/reference.md:321remote script piped into a shell
      curl -fsSL https://gh.io/copilot-install | bash
    • amplifier-bundle/skills/github-copilot-cli-expert/SKILL.md:56remote script piped into a shell
      curl -fsSL https://gh.io/copilot-install | bash

  • 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.

  • Pinned to a commit: passed

    Scanned rysweet/amplihack at 84424457d5.

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

Commit
84424457d5
Manifest
.claude/skills/github-copilot-cli-expert/SKILL.md
Scanned
6 files, 2,040 lines
Copies in repo
2 — 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

What it does

This skill enables AI agents to interact directly with the GitHub CLI (gh) command-line interface. It allows for executing complex Git operations, managing repositories, and automating workflows within the GitHub ecosystem through natural language commands.

When to use it

  • Automating routine repository tasks like creating releases or merging pull requests without manual intervention.
  • Managing branch protection rules and enforcing code quality policies programmatically.
  • Querying repository statistics, issue statuses, or contributor data for reporting purposes.
  • Triggering GitHub Actions workflows remotely from an AI agent's execution environment.

Key capabilities

  • Direct integration with the gh CLI tool for command execution.
  • Support for authentication and context-aware repository interactions.
  • Ability to parse and act on structured GitHub data (issues, PRs, repos).
  • Facilitation of CI/CD pipeline triggers via workflow dispatch events.

Example prompts

  • "Create a new branch named feature/login-fix from the current HEAD and push it to the remote repository."
  • "Find all open issues labeled 'bug' in this repository that were created in the last 24 hours and comment on them."
  • "Trigger the 'deploy-staging' workflow on the main branch for the my-project repository."

Tips & gotchas

Ensure the AI agent has valid authentication credentials (e.g., a personal access token) configured before attempting to execute commands that modify repositories. Be mindful of rate limits imposed by the GitHub API when automating high-frequency operations through this skill.