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Review Performance

Checked
nesnilnehc·vlatest·other·MIT

Helps with code review, performance optimization as part of agent workflows 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 nesnilnehc/ai-cortex --skill 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

nesnilnehc

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 nesnilnehc/ai-cortex at 3d3325ab58.

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

Commit
3d3325ab58
Manifest
skills/review-performance/SKILL.md
Scanned
2 files, 103 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 allows an AI agent to analyze and summarize performance reviews. It can extract key feedback points, identify areas of strength and weakness based on reviewer comments, and generate concise reports from multiple reviews. The tool is designed to help users quickly understand overall performance trends and actionable insights from review data.

When to use it

  • Summarizing employee reviews: Quickly digest a large number of performance reviews for an individual or team.
  • Identifying training needs: Pinpoint recurring areas where employees need additional support or development.
  • Tracking performance improvements: Monitor changes in feedback over time and assess the effectiveness of improvement plans.
  • Preparing for performance discussions: Generate summaries to facilitate more productive conversations with employees about their performance.

Key capabilities

  • Extracts key feedback points from reviews.
  • Identifies areas of strength based on reviewer comments.
  • Identifies areas needing improvement based on reviewer comments.
  • Generates concise reports summarizing review data.

Example prompts

  • "Summarize these performance reviews and highlight recurring themes."
  • "What are the key strengths identified in this employee's performance reviews?"
  • "Generate a report outlining areas where this employee needs to improve, based on their reviews."

Tips & gotchas

The quality of the summary depends heavily on the clarity and detail within the original performance review documents. Ensure that the input reviews are well-written and provide specific examples for best results.