A powerful static analysis tool to enforce Swift style and conventions through automated linting and autocorrection.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install swiftlint
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install swiftlint using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is SwiftLint?
SwiftLint is the industry-standard static analysis tool designed specifically for the Swift programming language. It identifies stylistic violations and programmatic errors by scanning source code against a set of predefined or custom rules. By utilizing this skill within the Openclaw Skills ecosystem, developers can maintain a consistent codebase across large teams and ensure adherence to community best practices.
Beyond simple reporting, SwiftLint offers robust autocorrection capabilities that can automatically resolve hundreds of common style issues. Whether you are working on a small iOS app or a massive macOS project, integrating this tool helps reduce technical debt and improves overall code readability and maintainability through the power of Openclaw Skills automation.
SwiftLint Use Cases
- Standardizing code style across multi-developer Swift projects.
- Automatically fixing whitespace, colon placement, and trailing newline violations.
- Identifying dangerous code smells like force casts or force unwrapping.
- Enforcing custom project-specific rules via regex patterns.
- Preventing regressions in code quality during the CI/CD pipeline.
How SwiftLint Works
- The agent scans the project directory for Swift files and an optional .swiftlint.yml configuration file.
- It executes the swiftlint command-line utility via Openclaw Skills to analyze the source code against enabled rules.
- Violations are identified and categorized by severity, such as warning or error.
- If requested, the tool applies autocorrect commands to fix repairable issues immediately.
- Results are formatted as human-readable terminal output or structured data for further processing.
SwiftLint Setup
To get started, ensure SwiftLint is installed on your local machine using Homebrew:
brew install swiftlint
Alternatively, you can install it via Mint:
mint install realm/SwiftLint
Verify the installation by running:
swiftlint version
SwiftLint Data Schema & Taxonomy
SwiftLint utilizes a YAML configuration file and supports various output formats for data integration.
| Component | Description |
|---|---|
| Configuration | Managed via .swiftlint.yml in the project root. |
| Included Paths | Specifies source directories to be analyzed. |
| Excluded Paths | Ignores folders like Pods, DerivedData, or .build. |
| Reporters | Supports formats including json, csv, checkstyle, and markdown. |
| Cache | Stores analysis results locally to improve performance in subsequent runs. |
SwiftLint Advanced Features
- Custom Regex Rules: Define project-specific constraints using regex patterns in the configuration file.
- Inline Rule Management: Disable specific checks for single lines or blocks using swiftlint:disable comments.
- Strict Mode: Utilize the --strict flag to treat warnings as build-breaking errors in CI environments.
- Multi-format Reporting: Generate specialized reports for GitHub Actions, SonarQube, or Xcode summaries.
- SPM Plugin Support: Integrate directly as a Swift Package Manager plugin for version-locked linting.
SKILL.md
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