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App Store Review

Listed
dpearson2699·vlatest·marketing

Analyzes app store reviews to identify sentiment, common themes, and actionable feedback for developers.

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 dpearson2699/swift-ios-skills --skill app-store-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

dpearson2699

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: www.apple.com.

    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.

    Hosts contacted

    www.apple.comundeclared

    What it found

    • skills/app-store-review/references/privacy-manifest.md:30contacts www.apple.com
      "http://www.apple.com/DTDs/PropertyList-1.0.dtd">

  • 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 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 dpearson2699/swift-ios-skills at 8d90fd121a.

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

Commit
8d90fd121a
Manifest
skills/app-store-review/SKILL.md
Scanned
4 files, 570 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 App Store reviews to identify key themes, sentiment, and potential areas for improvement. It can summarize feedback from a large number of reviews quickly, providing actionable insights into user perception of an app. The tool extracts common complaints or praise points directly from user-submitted text.

When to use it

  • Product Development: Understand user reactions to new features before widespread release.
  • Marketing Analysis: Gauge the effectiveness of marketing campaigns based on review sentiment.
  • Competitive Research: Analyze competitor app reviews to identify their strengths and weaknesses.
  • App Store Optimization (ASO): Discover keywords and phrases users are using in reviews for better search ranking.

Key capabilities

  • Review Summarization
  • Sentiment Analysis
  • Theme Extraction
  • Keyword Identification

Example prompts

  • "Summarize the recent App Store reviews for 'My Awesome App'."
  • "What are the most common complaints mentioned in the last 100 reviews of 'Photo Editor Pro'?"
  • "Analyze the sentiment expressed towards version 2.5 of 'Game Master'."

Tips & gotchas

The accuracy of analysis depends on the quality and quantity of available App Store reviews. A larger dataset will generally yield more reliable results.