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Code Review Performance

Checked
kentoshimizu·vlatest·backend·Apache-2.0

Helps with code review, performance optimization as part of developing backend services and APIs 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 kentoshimizu/sw-agent-skills --skill code-review-performance -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

kentoshimizu

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

    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 kentoshimizu/sw-agent-skills at 5b7bafb626.

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

Commit
5b7bafb626
Manifest
skills/code-review-performance/SKILL.md
Scanned
1 file, 54 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 analyzes code review comments and pull request data to identify performance bottlenecks and areas for optimization. It can assess the impact of changes on key metrics like latency, throughput, and resource utilization. The tool provides actionable insights to improve code quality and application efficiency based on historical trends and patterns.

When to use it

  • Performance Regression Detection: Identify if a recent pull request introduced performance degradation compared to previous versions.
  • Root Cause Analysis: Investigate slow operations or increased latency by analyzing related code review comments and changes.
  • Proactive Optimization: Discover potential performance issues before they impact users, based on trends in code reviews.
  • Code Review Feedback: Provide reviewers with data-driven insights about the performance implications of proposed code changes.

Key capabilities

  • Analyzes pull request data
  • Identifies performance bottlenecks
  • Assesses impact on key metrics (latency, throughput, resource utilization)
  • Provides actionable optimization suggestions
  • Detects performance regressions

Example prompts

  • "Analyze the last 10 pull requests and identify any potential performance regressions."
  • "Show me the code review comments related to increased latency in the authentication service."
  • "What are the top three areas for performance improvement based on recent code reviews?"

Tips & gotchas

The skill requires access to your repository's pull request data. Ensure the AI agent has appropriate permissions and credentials to read this information.