Review Pr
CheckedAutomatically reviews pull requests, identifying potential bugs, style issues, and suggesting improvements based on coding standards.
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 yonatangross/orchestkit --skill review-pr -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
yonatangross
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 yonatangross/orchestkit at 7784b90c05.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 7784b90c05
- Manifest
- src/skills/review-pr/SKILL.md
- Scanned
- 2 files, 867 lines
- Copies in repo
- 2 — all of them scanned
About this skill
What it does
The Review PR skill automatically reviews pull requests to identify potential bugs, style issues, and suggest improvements based on coding standards. It leverages a system of specialized agents working in parallel (up to 6) to perform deep code analysis. The review process begins by clarifying the desired focus – full review, security-focused, performance-focused, or quick review – before executing the appropriate agent workflows.
When to use it
- When needing a comprehensive assessment of code changes beyond basic automated checks.
- To proactively identify and address potential security vulnerabilities in pull requests.
- For evaluating the performance impact of new features or bug fixes.
- When requiring a rapid, high-level review before merging a branch.
Key capabilities
- Parallel Agent Execution: Uses multiple specialized agents concurrently for deeper analysis.
- Adaptive Thinking: Agents utilize native adaptive thinking to improve code understanding.
- Focus Selection: Allows users to specify the type of review needed (full, security, performance, quick).
- Automated PR Number Detection: Automatically determines the pull request number or branch name from various sources including arguments, environment variables, and GitHub CLI.
- User Intent Clarification: Uses an interactive question prompt to determine the desired scope of the review.
Example prompts
/ork:review-pr 123- Reviews pull request with ID 123./ork:review-pr feature-branch- Reviews the specified feature branch.- (After initial prompt) "Full review (Recommended)" – Selects a full code review, including security, quality, tests and architecture.
Tips & gotchas
- The skill relies on Claude hooks for automated execution; review these carefully before installation.
- Ensure the
ORCHESTKIT_PR_URLenvironment variable is set if you want to use that as a source of PR information. - The initial prompt will ask about the desired type of review – selecting this option influences the agents and depth of analysis performed.