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Pr Address Comments

Official
google-gemini·vlatest·backend·Apache-2.0

This skill adds helpful comments to pull requests based on the provided address, streamlining communication and improving code review processes.

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 google-gemini/gemini-cli --skill pr-address-comments -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

google-gemini

Matched to the vendor's own GitHub organisation.

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

    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 google-gemini/gemini-cli at fe6350238c.

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

Commit
fe6350238c
Manifest
.gemini/skills/pr-address-comments/SKILL.md
Scanned
2 files, 175 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

pr-address-comments

What it does

This skill enables AI agents to automatically review pull requests and generate comments addressing code quality, logic errors, or missing documentation. It streamlines the code review process by providing immediate, actionable feedback directly within the PR interface.

When to use it

  • Automated Code Audits: Trigger a review immediately after a developer pushes code to ensure standards are met before merging.
  • Team Onboarding: Help new team members understand complex logic changes by generating explanatory comments on specific lines.
  • Documentation Gaps: Identify sections of code lacking inline documentation or test coverage and suggest where improvements are needed.
  • Conflict Resolution: Highlight potential merge conflicts or overlapping changes between branches to prevent integration issues.

Key capabilities

  • Analyzes code diffs within pull requests to identify specific areas for improvement.
  • Generates context-aware comments directly on the relevant lines of code.
  • Provides structured feedback on logic, style, and maintainability.
  • Integrates seamlessly with existing GitHub workflows via the Gemini CLI.

Example prompts

  • "Review the latest pull request and leave comments on any functions that lack error handling."
  • "Analyze this PR for potential security vulnerabilities and suggest fixes in your comments."
  • "Check if all new features added in this branch have corresponding unit tests, and comment accordingly."

Tips & gotchas

Ensure the AI agent has read access to the specific repository and pull request metadata before attempting to generate comments. While the skill automates feedback, always verify generated suggestions against project-specific coding standards before they are finalized.