A comprehensive quality assurance framework for AI agents to perform automated code reviews, execute tests, and track project health.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install qa-reviewer
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 qa-reviewer 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 QA Reviewer?
The QA Reviewer skill is a professional-grade extension designed for the Openclaw Skills ecosystem to streamline the software development lifecycle. Built on real-world SRM project experience, it empowers AI agents to perform deep code analysis, identify edge-case vulnerabilities, and suggest actionable fixes across multiple programming languages. This skill bridges the gap between development and deployment by providing a structured environment for continuous quality assessment and testing validation.
QA Reviewer Use Cases
- Requirements review during project kickoff to identify missing specifications and prevent late-stage rework.
- Automated code reviews during development to detect logic errors and style inconsistencies.
- Execution of comprehensive testing phases including unit, integration, and performance tests.
- Final project acceptance to generate formal quality reports and verify P0 task completion.
How QA Reviewer Works
- The skill initializes by scanning the project directory to map the codebase structure.
- It identifies issues by analyzing code against predefined checklists for functionality, boundaries, and style.
- Detailed review reports are automatically generated using standardized templates to provide clear feedback.
- AI agents or developers apply fixes based on the skill's prioritized suggestions.
- The workflow concludes with verification runs to ensure all identified bugs are resolved and document synchronization is complete.
QA Reviewer Setup
To integrate this capability into your workflow using Openclaw Skills, follow these steps:
# 1. Load the skill into your local environment
openclaw skill load qa-reviewer
# 2. Navigate to your project and run a code review
cd /path/to/project
~/.openclaw/extensions/qa-reviewer/scripts/code_review.sh
# 3. Generate a comprehensive quality and coverage report
~/.openclaw/extensions/qa-reviewer/scripts/generate_report.sh
# 4. Execute the automated test suite
~/.openclaw/extensions/qa-reviewer/scripts/run_tests.sh
QA Reviewer Data Schema & Taxonomy
The QA Reviewer skill manages its output and configuration through a structured taxonomy to ensure compatibility within Openclaw Skills environments:
| Component | Data Type | Description |
|---|---|---|
| Review Reports | Markdown | Detailed findings including line-specific issues and fix suggestions. |
| Test Logs | Text/JSON | Raw output from testing frameworks like pytest or Jest. |
| Issue Tracker | YAML/Markdown | A prioritized list of TODOs with status and severity levels. |
| Quality Metrics | JSON | Quantitative data on coverage, P0 completion, and document sync status. |
QA Reviewer Advanced Features
- Support for diverse tech stacks including C++, Python, and JavaScript.
- Seamless integration with major testing frameworks such as Google Test, pytest, and Jest.
- Automated P0 task completion checks to guarantee mission-critical goals are met.
- High-speed feedback loops designed to complete the full review-fix-verify cycle in under an hour.
- Independent acceptance verification logic that separates testing roles from development.
SKILL.md
Loading
Related Openclaw Skills
UniFuncs Web & Deep Research Skill
A powerful suite of web tools for AI agents to browse, search, and research the internet with high precision.
iCloud CalDAV Integration
A secure, direct integration for managing iCloud Calendars using the CalDAV protocol without third-party middleware.
Immanent Metaphysics Framework
A foundational framework for reasoning within Forrest Landry's Immanent Metaphysics, enabling structured team onboarding and ethical agent interaction.
GeoInfer Image Geolocation
An AI-driven geolocation tool that identifies where photos were taken using visual analysis instead of metadata.
Music Player Skill
A local media controller that allows AI agents to manage music playback through the MPV media player and organized local directories.
Telegram Analyzer Skill
A professional toolset for AI agents to search SaaS contacts, retrieve recent Telegram messages, and manage contact metadata like stages and tags.
Featured*
