An automated auditing tool that reviews frontend code for architecture, type safety, security, and accessibility, generating detailed Markdown reports.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install frontend-code-review
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
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Help me install frontend-code-review using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Frontend Code Review is a specialized utility within the Openclaw Skills collection designed to streamline the technical debt management of modern web applications. It systematically analyzes Vue, React, and TypeScript codebases against industry-standard best practices, focusing on maintainability and structural integrity. By acting as an automated peer reviewer, it ensures that every pull request aligns with team standards before merging.
The skill goes beyond simple linting by evaluating complex patterns such as component boundaries, hooks/composables stability, and state management efficiency. It provides developers with actionable feedback, categorizing findings into critical blockers, suggested optimizations, and style improvements, making it an essential asset for high-velocity frontend teams.
To integrate this skill into your workflow, ensure your Openclaw Skills environment is configured and run the following in your project root:
# Create the reports directory if it doesn't exist
mkdir -p reports/
# Trigger the review through your AI agent
# "Please review the recent changes in src/components/"
The skill organizes its output into a structured reporting system to ensure traceability and clarity:
| Feature | Specification |
|---|---|
| Report Format | Markdown (.md) |
| Storage Location | /reports/ (Project Root) |
| Naming Convention | code-review-YYYY-MM-DD-HHmmss.md |
| Metadata | Includes generation timestamp and tool version |
| Taxonomy | Categorized by Risk Level (Low/Medium/High) and Action Type |
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