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Pr Review Response

Checked
ttokit·vlatest·backend·MIT

Generates tailored responses to PR review comments, suggesting revisions and clarifying reasoning for efficient feedback loops.

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 ttokit/claude-skills --skill pr-review-response -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

ttokit

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 ttokit/claude-skills at a9da96c8d6.

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

Commit
a9da96c8d6
Manifest
skills/pr-review-response/SKILL.md
Scanned
6 files, 682 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 a pull request review and generates a concise, actionable response. It can summarize feedback, identify key areas of concern, and suggest next steps for the developer. The tool aims to improve communication efficiency and accelerate the code review process by automating initial responses.

When to use it

  • Responding to lengthy or complex pull request reviews when you need a quick summary.
  • When collaborating with developers in different time zones to ensure timely feedback.
  • To help junior developers understand and address reviewer comments more effectively.
  • For quickly acknowledging receipt of feedback and outlining your plan for addressing it.

Key capabilities

  • Summarizes pull request review comments.
  • Identifies key areas of concern raised in the review.
  • Suggests next steps for the developer based on the feedback.

Example prompts

  • "Respond to this pull request review: [paste review text here]"
  • "Summarize the feedback from this code review and suggest my next actions."
  • “What are the main concerns raised in this PR review?”

Tips & gotchas

The quality of the response depends heavily on the clarity and detail provided in the original pull request review. Ensure the review text is complete and well-formatted for optimal results.