Quality-Driven Development for Openclaw

A sophisticated development methodology skill that enforces TDD, DDD, and the TRUST 5 quality framework to produce production-ready code.

kimky1122
v1.1.0
Feb 26, 2026
0
1.2k
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install quality-driven-dev

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 quality-driven-dev 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 Quality-Driven Development?

The Quality-Driven Development skill is a rigorous framework designed to elevate the standard of AI-generated code. By integrating with Openclaw Skills, it provides a structured workflow that transitions between Test-Driven Development (TDD) and Documentation-Driven/Defensive Development (DDD) based on existing project coverage.

At its heart is the TRUST 5 framework, which ensures every code contribution is Tested, Readable, Unified, Secured, and Trackable. This skill eliminates 'vibe coding' by requiring technical specifications, mandatory logging strategies, and automated quality gates before any task is considered complete.

Quality-Driven Development Use Cases

  • Implementing new features in modern codebases using a strict RED-GREEN-REFACTOR TDD cycle.
  • Refactoring legacy systems with low test coverage by first establishing characterization tests through a DDD workflow.
  • Standardizing logging across complex applications to ensure production observability and easier debugging.
  • Enforcing security and readability standards automatically during the AI development lifecycle using Openclaw Skills.

How Quality-Driven Development Works

  1. Project Analysis: The skill scans the environment to detect test frameworks, current coverage, and existing logging libraries.
  2. Methodology Selection: It automatically chooses TDD for projects with >=10% coverage or DDD for legacy projects with lower coverage.
  3. SPEC Creation: A detailed specification document (SPEC-ID) is generated, defining acceptance criteria, technical scope, and specific log points.
  4. Execution Phase: Depending on the mode, the agent writes failing tests first (TDD) or captures existing behavior with characterization tests (DDD).
  5. Quality Gate: The TRUST 5 checklist is applied to verify tests pass, code is readable, styles are unified, security is audited, and changes are trackable.
  6. Reporting: A final completion report is generated, detailing test results, coverage changes, and added log points.

Quality-Driven Development Setup

To use this within the Openclaw Skills ecosystem, ensure your project has a compatible test runner installed.

# For JavaScript/TypeScript
npm install --save-dev jest vitest

# For Python
pip install pytest pytest-cov

# For Go
# No installation needed, uses built-in 'go test'

Ensure a logging library (like Winston, Pino, or Logback) is present, or the skill will recommend one during the Analysis phase.

Quality-Driven Development Data Schema & Taxonomy

The skill manages quality data using the following taxonomy:

Data Type Format Description
SPEC Document Markdown Defines goals, criteria, and technical approach (SPEC-ID.md).
Log Levels Enum ERROR, WARN, INFO, DEBUG applied based on context.
Quality Gate Checklist The TRUST 5 metrics (Tested, Readable, Unified, Secured, Trackable).
Completion Report Markdown Final summary of coverage, logs, and file changes.

Quality-Driven Development Advanced Features

  • Dynamic Role Delegation: Automatically activates Architect, Security, or Tester perspectives for specialized reviews.
  • Context-Aware Logging: Enforces meaningful log messages that include IDs and parameters instead of generic text.
  • Coverage Tracking: Monitors test coverage deltas before and after implementation to prevent regressions.
  • Language-Specific Pattern Loading: Dynamically loads TDD/DDD patterns tailored to the specific programming language in use through Openclaw Skills.

SKILL.md


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