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review-implementing

Checked
mhattingpete·v1.0.0·backend·Apache-2.0

Process and implement code review feedback systematically. Use when user provides reviewer comments, PR feedback, code review notes, or asks to implement suggestions from reviews.

Install on your platform

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What we know about this skill

Publisher

mhattingpete

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 mhattingpete/claude-skills-marketplace at b5b34bcf4c.

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

Commit
b5b34bcf4c
Manifest
engineering-workflow-plugin/skills/review-implementing/SKILL.md
Scanned
1 file, 135 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 systematically processes and implements code review feedback. It can take reviewer comments, pull request feedback, or code review notes as input and translate them into actionable implementation steps. The goal is to streamline the process of incorporating feedback into a codebase.

When to use it

  • You've received a substantial amount of feedback on a pull request and need help organizing the next steps.
  • A reviewer has provided detailed comments that are difficult to parse and prioritize.
  • You want to ensure all suggestions from a code review are addressed systematically.
  • You’re feeling overwhelmed by a complex set of review notes and need assistance in breaking down the implementation tasks.

Key capabilities

  • Processes reviewer comments
  • Translates feedback into actionable steps
  • Handles pull request feedback
  • Works with code review notes
  • Implements suggestions from reviews

Example prompts

  • "Here's the feedback from my code review: [paste feedback here]. Can you help me organize this into a plan?"
  • "I received these comments on my PR: [paste comments here]. What steps should I take to address them?"
  • “Review these notes and suggest implementation tasks: [paste notes here].”

Tips & gotchas

The skill's effectiveness depends heavily on the clarity and detail of the provided review feedback. Vague or ambiguous comments may result in less actionable suggestions.