Pr Review Assistant
CheckedAutomates PR review feedback, identifying potential issues in code style, logic, and documentation for faster iteration.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add rysweet/amplihack --skill pr-review-assistant -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto 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.
Automated safety checks
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 rysweet/amplihack at 84424457d5.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 84424457d5
- Scanned
- 10 files, 4,774 lines
- Copies in repo
- 2 — all of them scanned
About this skill
The PR Review Assistant streamlines code review workflows by analyzing pull requests to identify potential issues, suggest improvements, and automate routine feedback tasks. It helps teams maintain code quality standards while reducing the manual effort required during the review process.
When to use it
- Automating initial checks for common coding errors or style violations in new pull requests.
- Generating summary notes for complex changes to help reviewers quickly grasp the scope of modifications.
- Suggesting specific refactoring opportunities or security concerns found within the submitted code.
- Standardizing feedback across a team by applying consistent review criteria to every submission.
Key capabilities
- Automated analysis of pull request content and associated code changes.
- Identification of potential bugs, security vulnerabilities, or performance bottlenecks.
- Generation of actionable suggestions for improving code structure and readability.
- Reduction of repetitive manual review tasks for human developers.
Example prompts
- "Analyze this pull request and list any critical issues that need to be addressed before merging."
- "Summarize the main changes in this PR and suggest improvements based on our coding standards."
- "Review the code diffs for potential security vulnerabilities and provide specific recommendations."
Tips & gotchas
Ensure the AI agent has access to the necessary repository permissions and context to perform accurate analysis. While the tool can identify many issues, it should be used as a complement to human expertise rather than a replacement for thorough manual reviews.