A professional quality assurance skill that transforms task scopes into comprehensive, risk-aware validation plans for AI agents.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install qa-test-strategy
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-test-strategy 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 Lead: Test Strategy and Quality Governance?
The QA Lead skill is a specialized framework within the Openclaw Skills library designed to manage test strategy, coverage planning, and risk-based validation. It empowers AI agents to act as quality gatekeepers, deciding which architectural risks require specific validation layers such as unit, HTTP, E2E, or WLS checks. By aligning test depth with business risk and runtime sensitivity, this skill ensures that complex delivery items are neither under-tested nor burdened by redundant overhead.
Operating as a cross-role governance tool, it establishes clear entry and exit criteria for the development lifecycle. It moves beyond generic testing instructions by creating a coordinated approach across multiple validation layers, ensuring that every changed surface—from data and routes to UI and permissions—is accounted for before final acceptance.
QA Lead: Test Strategy and Quality Governance Use Cases
- Orchestrating comprehensive test plans for complex, multi-layered software delivery items.
- Implementing risk-based validation for high-stakes architectural changes.
- Coordinating quality governance across different AI agent roles and engineering specialties.
- Defining regression scopes and evidence requirements for continuous integration workflows.
- Managing isolated WLS runtime validation to prevent environment conflicts.
How QA Lead: Test Strategy and Quality Governance Works
- The agent analyzes the task scope, changed surfaces, and identified implementation risks from source materials like AI-ENTRY.md.
- The change is classified based on its impact on data, routing, UI, runtime, permissions, and documentation.
- A minimum set of required checks (Unit, HTTP, E2E, WLS) is defined based on the classification.
- Mandatory isolation rules are established, particularly for WLS validation to ensure unique test instances.
- Owners are assigned to each validation layer, and handoff requirements are documented.
- Acceptance evidence and residual-risk reporting parameters are set to define the completion gate.
- The strategy is dynamically revisited and updated if the project scope expands during the implementation phase.
QA Lead: Test Strategy and Quality Governance Setup
To integrate this skill into your AI agent environment, follow these configuration steps:
- Ensure the Openclaw Skills directory structure is present in your project.
- Link the core source materials in your agent configuration:
# Define paths for required context
export QA_SKILL_PATH="dev/ai/skills/testing/SKILL.md"
export PLANNING_SKILL_PATH="dev/ai/skills/planning/SKILL.md"
- Initialize the QA Lead role by referencing the shared collaboration contract in your AI prompt system.
- Configure WLS test parameters to avoid port conflicts, ensuring a unique instance name for every validation run.
QA Lead: Test Strategy and Quality Governance Data Schema & Taxonomy
The QA Lead skill organizes its governance data using the following taxonomy:
| Category | Description | Metadata Examples |
|---|---|---|
| Change Classification | High-level impact analysis | data, route, UI, runtime, permission |
| Validation Layers | Defined testing depths | unit, HTTP, E2E, WLS, docs |
| Risk Mapping | Links risks to specific tests | risk_id, mitigation_test, priority |
| Evidence Requirements | Criteria for successful execution | test_logs, coverage_report, WLS_instance_id |
| Gate Definitions | Entry and exit requirements | ready_for_qa, passed_with_residual_risk |
QA Lead: Test Strategy and Quality Governance Advanced Features
- Multi-agent collaboration hooks: Notifies specific technical leads when blockers or validation failures occur.
- Isolated WLS Validation: Automated management of dedicated test instances with unique naming to prevent port collisions.
- Risk-to-Test Mapping: A dynamic logic engine that matches test depth to business and architectural sensitivity.
- Residual Risk Reporting: Standardized reporting for identifying and tracking risks that remain after the validation cycle.
- Shared Engineering Contracts: Integration with universal developer standards and code quality protocols.
SKILL.md
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