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Github Contributor

Checked
daymade·vlatest·backend·MIT

Identifies open GitHub issues needing help, suggests contributions based on your skills, and drafts pull request descriptions.

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 daymade/claude-code-skills --skill github-contributor -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

daymade

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: 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

    github.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 daymade/claude-code-skills at 1327636852.

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

Commit
1327636852
Manifest
github-contributor/SKILL.md
Scanned
13 files, 2,731 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 directly with GitHub repositories, allowing them to clone codebases, search for specific files or issues, and manage repository metadata. It bridges the gap between natural language requests and Git operations, streamlining development workflows by automating routine repository management tasks.

When to use it

  • You need to quickly inspect the structure of an open-source project without manually cloning it first.
  • An agent must locate a specific bug report or feature request within a large repository's issue tracker.
  • You want to automate the process of gathering context from multiple related repositories before generating code.
  • Your workflow requires reading .gitignore files or checking recent commit history to understand project constraints.

Key capabilities

  • Cloning GitHub repositories directly into the agent's working environment.
  • Searching repository contents for specific keywords, file paths, or code patterns.
  • Retrieving and analyzing issue details, pull requests, and comments.
  • Accessing repository metadata such as README files, license information, and configuration files.

Example prompts

  • "Clone the langchain repository and search for all files containing 'vectorstore' in their content."
  • "Find the open issues related to 'authentication failures' in the nextjs repo and summarize the top three comments."
  • "Read the .gitignore file from the react repository and list any patterns that might affect my current build process."

Tips & gotchas

Ensure the AI agent has appropriate network access and authentication tokens if private repositories are involved. This skill relies on public API endpoints; rate limits may apply for high-frequency queries across multiple repositories.