A comprehensive automation tool for managing regression test plans, executing test cases, and verifying defect repairs.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install agent-regression-testing
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 agent-regression-testing 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 Agent Regression Testing?
Agent Regression Testing is a sophisticated framework designed to automate the end-to-end lifecycle of software regression. It enables development teams to maintain high software quality by systematically validating that new changes do not break existing functionality. This tool is a core part of the Openclaw Skills ecosystem, offering a structured approach to quality assurance through intelligent test selection and automated reporting.
By integrating with documentation platforms like Feishu, the skill ensures that every test cycle is documented with precision. It supports multiple testing strategies ranging from full system sweeps for major architectural shifts to highly targeted selective regression for rapid bug fixes, ensuring that teams can balance speed and stability effectively.
Agent Regression Testing Use Cases
- Managing full-scale regression testing during major version upgrades or framework migrations.
- Verifying specific defect repairs to ensure that bug fixes are successful and do not introduce side effects.
- Executing selective regression for minor feature updates or localized code changes.
- Generating automated, stakeholder-ready regression reports to facilitate release decision-making.
How Agent Regression Testing Works
- The agent analyzes code, configuration, or data changes to evaluate the potential impact on various system modules.
- A regression strategy is selected (Full, Selective, or Automated) based on the risk profile and change type.
- The skill prepares the test environment and verifies entry criteria such as code freeze and smoke test completion.
- Test cases are executed according to priority (P0 for core features, P1/P2 for others), with results logged in real-time.
- Defects identified in previous cycles are re-tested to verify successful repair and closure.
- A final risk assessment is performed, culminating in a detailed regression report with release recommendations.
Agent Regression Testing Setup
To deploy this functionality within your Openclaw Skills environment, ensure you have the necessary document integration credentials.
# Install the regression testing skill
openclaw install agent-regression-testing
# Configure the documentation backend (e.g., Feishu Knowledge Base)
openclaw config set knowledge_base_id "7616288931050507220"
Agent Regression Testing Data Schema & Taxonomy
The skill utilizes a structured data taxonomy to manage testing metadata and results. The primary data structures include:
| Data Category | Key Fields |
|---|---|
| Planning Metadata | Version info, change description, impact scope, case count, ETA |
| Selection Criteria | P0 (Core), P1 (Related), P2 (Sampling), Historical Defect related cases |
| Execution Metrics | Date, Tester, Environment, Pass/Fail/Block counts, Pass Rate % |
| Risk Matrix | Risk Level (Low to Critical), Legacy issue list, Release decision status |
Agent Regression Testing Advanced Features
- Intelligent priority-based test case selection to optimize execution time without sacrificing coverage.
- Automated risk assessment levels derived from P0/P1/P2 pass rate thresholds.
- Seamless Feishu/Lark integration for real-time document updates and team notifications.
- Support for multiple regression strategies tailored to architectural refactoring or simple patch sets.
- Detailed release decision matrix to provide objective go/no-go signals based on Openclaw Skills analytics.
SKILL.md
Loading
Related Openclaw Skills
Long Image to PDF Processor
A specialized tool for slicing extremely long images and screenshots into overlapping segments for professional PDF pagination.
TPAIP Docker Auto-Deploy
A standardized automation skill to build TPAIP Docker images and deploy them securely to remote Linux servers with integrated health checks.
Agent Testcase Generator
An AI-powered engine that transforms test points into professional, standardized test cases with 14 mandatory fields and seamless Feishu integration.
Invoice Agent
A professional local-first invoice management system for AI agents and CLI power users to automate billing and tracking.
Token-Saving Mastery
A comprehensive optimization toolkit designed to slash AI dialogue costs by 30-70% through intelligent context management and prompt engineering.
Agent Requirement Analyzer
A professional tool for analyzing AI agent platform requirements to extract structured testing points, interaction scenarios, and critical missing information.
Featured*
