Swiftdata Code Review
CheckedAutomates SwiftData model & query code reviews, identifying potential performance bottlenecks and data integrity issues.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add existential-birds/beagle --skill swiftdata-code-review -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto 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.
Automated safety checks
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
- Scanned
- 5 files, 612 lines
About this skill
The swiftdata-code-review skill enables AI agents to perform automated code analysis on Swift projects, identifying potential bugs, style violations, and architectural issues within the source repository. It integrates directly with the development workflow to provide immediate feedback on code quality before merging or deployment.
When to use it
- Before committing changes to a shared Swift codebase to prevent introducing regressions.
- During pull request reviews to automatically validate adherence to team coding standards.
- When refactoring legacy Swift modules to detect deprecated APIs or memory safety risks.
- As part of a CI/CD pipeline to gate deployments based on automated linting results.
Key capabilities
- Parses Swift source files for syntax errors and logical inconsistencies.
- Enforces specific style guides (e.g., Apple’s Swift Style Guide).
- Detects common security vulnerabilities such as unsafe pointer usage.
- Provides actionable suggestions for improving code readability and maintainability.
Example prompts
- "Run a full code review on the
UserManager.swiftfile and list all potential memory leaks." - "Check if the recent changes in the
Networkingmodule comply with our team's Swift style guide." - "Identify any deprecated APIs used in the new feature branch and suggest modern alternatives."
Tips & gotchas
Ensure your repository contains a .swiftlint.yml or similar configuration file to tailor the review rules to your project’s specific needs. This skill works best on monorepos or modular Swift projects where file dependencies are clearly defined; it may struggle with highly fragmented or non-standard project structures.