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Agent Reviews

Checked
pbakaus·vlatest·agents·MIT

Analyzes product reviews to identify sentiment, key features mentioned, and potential areas for improvement based on customer feedback.

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

Installs under a different name. Its SKILL.md names it resolve-agent-reviews, not the name it is listed under, so the command below uses that name.
  1. 1

    Run this in your project

    terminal
    $ npx skills add pbakaus/agent-reviews --skill resolve-agent-reviews -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

pbakaus

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 pbakaus/agent-reviews at bf14a95dc7.

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

Scanned
1 file, 184 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, Agent Reviews, automates the process of reviewing and responding to feedback from pull request (PR) review bots. It operates in a two-phase workflow: first, it automatically fixes existing issues identified by these bots; then, it periodically checks for new comments. The tool provides detailed information about each comment, including its full content, code context, and replies, allowing the agent to accurately assess and address bot findings.

When to use it

  • When working on pull requests that have automated review bots providing feedback.
  • To streamline the process of addressing and resolving issues flagged by PR review bots.
  • To reduce manual effort in reviewing and responding to bot comments, especially when dealing with a large number of reviews.
  • In development workflows where quick iteration and efficient bug fixing are important.

Key capabilities

  • Identifies Current Pull Request: Automatically detects the current pull request being worked on.
  • Fetches Bot Comments: Retrieves all unanswered bot comments, providing full details including comment body, code diffs, and replies.
  • Evaluates Findings: Classifies bot findings as True Positive (real bug), False Positive (incorrect flag), or Uncertain (requires user input).
  • Automated Fixing: Automatically fixes identified bugs based on the evaluation of bot comments.
  • User Interaction: Uses AskUserQuestion to prompt for clarification when uncertain about a finding.

Example prompts

Since this skill operates automatically, there are no direct user prompts. However, the agent might present questions like:

  • "This comment flags a potential type mismatch. Are you certain this is intentional?" (When Uncertain)
  • "I've identified an issue with missing error handling. Should I apply the suggested fix?" (Before automatically fixing a True Positive)

Tips & gotchas

  • The skill relies on gh (GitHub CLI) being installed and configured to access your GitHub account.
  • It’s important to understand that the agent's evaluation of bot findings is based on predefined criteria; manual review may still be necessary in complex cases.
  • The accuracy of automated fixes depends on the clarity and correctness of the bot comments.