Testing Workflow for Openclaw

A comprehensive meta-skill that orchestrates testing patterns and E2E agents to ensure high-quality software delivery through structured validation phases.

wpank
v0.1.0
Feb 10, 2026
1
2.5k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install testing-workflow

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install testing-workflow 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 Testing Workflow?

The Testing Workflow is a high-level orchestration skill designed to manage the entire lifecycle of software quality assurance. By integrating multiple Openclaw Skills, it provides a standardized framework for discovering existing test gaps, selecting the right testing strategy, and implementing robust coverage across the testing pyramid.

Rather than defining individual test cases, this meta-skill acts as an intelligent router and project manager. It ensures that developers and AI agents follow a logical progression from unit testing to critical user journey validation, preventing common pitfalls like implementation-detail testing or over-mocking. It is the essential blueprint for teams wanting to maintain high velocity without sacrificing stability.

Testing Workflow Use Cases

  • Establishing a testing strategy for a greenfield project from scratch.
  • Identifying and filling coverage gaps in legacy codebases.
  • Verifying quality gates before major production releases.
  • Ensuring architectural integrity after large-scale refactors.
  • Onboarding development teams to a unified QA standard.

How Testing Workflow Works

  1. Discovery and Baseline: Scan the project to identify runners, libraries, and current coverage metrics to establish a starting point.
  2. Strategy Selection: Determine the project type (e.g., Startup vs. Critical Infrastructure) and select appropriate test patterns and user journeys.
  3. Implementation: Execute a phased rollout starting with unit tests, followed by integration tests, and finally E2E journeys.
  4. Validation: Run the full suite against strict quality gates to ensure all tests pass and coverage targets are met.
  5. Maintenance: Set up ongoing practices like coverage ratcheting and flaky test policies to keep the suite healthy.

Testing Workflow Setup

To utilize this workflow within your Openclaw Skills environment, ensure the testing-patterns and e2e-testing skills are accessible. You can initialize the workflow by directing your agent to analyze your current repository.

# Example: Initializing a coverage report to establish a baseline
npm test -- --coverage
# Or for Python projects
pytest --cov=./

Testing Workflow Data Schema & Taxonomy

The skill organizes its data through a structured Testing Strategy Template and specific performance targets:

Component Description
Coverage Baseline Metrics for Statement, Branch, and Function coverage at the start of the workflow.
Project Type Targets Scalable thresholds (e.g., 60% for MVPs to 95% for Critical Infrastructure).
Critical User Journeys A catalog of high-value user flows that require mandatory E2E coverage.
Quality Gates A checklist of requirements including execution time budgets and mock justifications.

Testing Workflow Advanced Features

  • Intelligent Skill Routing: Automatically directs tasks to specialized skills like testing-patterns or e2e-testing based on the current phase.
  • Coverage Ratcheting: Mechanisms to ensure that code coverage only increases over time, preventing regressions in quality.
  • Customizable Quality Gates: Configurable thresholds for execution time and failure tolerances tailored to specific project needs.
  • Multi-Agent Coordination: Orchestrates different testing agents to work in parallel across unit and E2E domains.

SKILL.md


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