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Watchos Code Review

Checked
existential-birds·vlatest·backend·Apache-2.0

Automates Go code reviews, identifying potential bugs, style issues, and performance bottlenecks with detailed explanations.

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 existential-birds/beagle --skill watchos-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

existential-birds

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 existential-birds/beagle at d1a74899fb.

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

Commit
d1a74899fb
Manifest
plugins/beagle-ios/skills/watchos-code-review/SKILL.md
Scanned
5 files, 811 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

The watchos-code-review skill enables AI agents to analyze and critique code specifically written for Apple Watch applications. It focuses on ensuring adherence to watchOS development constraints, such as memory limits and UI guidelines, while identifying potential bugs or performance bottlenecks in Swift projects.

When to use it

  • You have drafted a new feature for a WatchKit extension and need an automated check for common platform-specific errors before committing.
  • Your team is refactoring legacy watchOS codebases and requires an agent to highlight deprecated APIs or inefficient memory usage patterns.
  • You are integrating third-party libraries into a watch app and want to verify compatibility with the current watchOS version.

Key capabilities

  • Platform-Specific Analysis: Evaluates code against strict watchOS runtime constraints, including limited heap size and background execution rules.
  • Swift Syntax Validation: Checks for correct usage of WatchKit frameworks and SwiftUI integration specific to small screens.
  • Performance Optimization: Identifies heavy operations or blocking calls that could cause the app to freeze on wearable hardware.

Example prompts

  • "Review this Swift file for watchOS compatibility and suggest fixes for any memory leaks detected."
  • "Analyze the provided WatchKit extension code for potential crashes related to low-memory conditions."
  • "Check if this SwiftUI view implementation follows best practices for rendering on Apple Watch interfaces."

Tips & gotchas

Ensure your source code is fully written in Swift, as the skill may not effectively analyze Objective-C or mixed-language projects. For best results, provide context about the specific watchOS version you are targeting, as API availability varies significantly across releases.