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Github Copilot Sdk

Checked
rysweet·vlatest·ai-ml

Provides GitHub guidance and assistance for agent 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 rysweet/amplihack --skill github-copilot-sdk -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 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

    Only contacts known or declared hosts: api.github.com, github.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

    api.github.comsource hostgithub.comsource host

  • 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 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-sdk/SKILL.md
Scanned
9 files, 3,425 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

What it does

This skill enables AI agents to interact with GitHub Copilot, leveraging its advanced code completion and pair programming capabilities directly within development workflows. It bridges the gap between agent autonomy and human-grade coding assistance by providing access to Copilot's underlying functionality.

When to use it

  • Automating repetitive boilerplate generation during initial project scaffolding.
  • Assisting in refactoring legacy codebases by suggesting modern syntax patterns.
  • Generating unit tests or documentation snippets based on existing function definitions.
  • Accelerating feature implementation by proposing logic for complex algorithms.

Key capabilities

  • Direct integration with GitHub Copilot's inference engine.
  • Context-aware code suggestions tailored to the current repository structure.
  • Support for multiple programming languages and frameworks.
  • Seamless installation via the TrustedSkills registry for immediate deployment.

Example prompts

  • "Generate a Python class structure for a REST API endpoint handling user authentication."
  • "Refactor this JavaScript function to use async/await patterns and add error handling."
  • "Create unit tests for the provided Node.js utility module using Jest."

Tips & gotchas

Ensure your AI agent has read access to relevant repository files to provide context-aware suggestions. While powerful, always review generated code before committing to maintain security standards and adhere to project-specific conventions.