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Receiving Code Review

Checked
izyanrajwani·vlatest·backend

Automates code review feedback generation based on izyanrajwani's style, identifying potential bugs and suggesting improvements.

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 izyanrajwani/agent-skills-library --skill receiving-code-review -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

izyanrajwani

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 izyanrajwani/agent-skills-library at c4e8b6649c.

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

Commit
c4e8b6649c
Manifest
skills/receiving-code-review/SKILL.md
Scanned
1 file, 186 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 enables AI agents to accept and process incoming code reviews, allowing them to analyze feedback, identify suggested changes, and update their development workflow accordingly. It bridges the gap between peer critique and automated implementation by structuring review data for immediate action.

When to use it

  • Automating the integration of security audit findings into a CI/CD pipeline.
  • Processing design system feedback from senior engineers to trigger refactoring tasks.
  • Accepting performance optimization suggestions from code analysis tools without manual intervention.
  • Handling peer review comments in collaborative environments where rapid iteration is required.

Key capabilities

  • Ingests structured and unstructured code review data.
  • Parses specific feedback regarding logic errors, style violations, or architectural concerns.
  • Triggers downstream actions based on the severity and type of review comments.

Example prompts

  • "Receive the latest code review for the authentication module and summarize all critical security fixes required."
  • "Accept the pull request review containing performance bottlenecks and generate a list of functions to optimize."
  • "Process the feedback from the design team regarding UI consistency in the new dashboard component."

Tips & gotchas

Ensure the code review data is formatted in a standard protocol (such as Markdown or JSON) to maximize parsing accuracy. This skill complements other testing and development capabilities but does not replace the need for human validation of complex architectural decisions.