How does the skill handle failing test commands?

It includes retry safety and fail-fast logic, stopping immediately if environment context is missing or if paths resolve outside the workspace to avoid redundant execution loops.

When is the best time to invoke the QA skill?

Use this skill when your implementation stage is finished and you are ready for loop verification. It should not be used during initial implementation or finding synthesis.

Can I manually create QA result files using this skill?

No, the skill enforces a strict policy where stage.qa.result.json is only produced via the canonical stage-chain postflight to ensure workflow integrity and prevent manual errors.

What languages does the QA skill support for testing?

It supports a wide range of ecosystems including Python (Pytest), JavaScript (NPM/PNPM/Yarn), Go, Java (Maven/Gradle), and generic Makefile-driven projects.

QA Validation & Report Generation

Name: QA Validation & Report Generation
Author: GrinRus

byGrinRus

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安全与测试

Executes QA-stage validation and automated report generation within AI-driven development workflows.

The QA skill is a core component of the AI-driven development (AIDD) framework, designed to orchestrate the final verification phase of software feature development. It automates the transition from implementation to verification by running domain-specific tests across multiple ecosystems—including Python, JavaScript, Go, and Java—and generating standardized QA reports. By enforcing strict 'stage-chain' policies and fail-fast convergence hardening, it ensures that software validation is consistent, automated, and prevents redundant execution loops, making it an essential tool for high-integrity AI-assisted coding.

主要功能

01Fail-fast convergence to prevent redundant or infinite retries

02Multi-ecosystem test execution (Pytest, NPM, Maven, Go, Gradle)

03Stage-chain orchestration for automated development loops

04Standardized QA report generation and artifact validation

05Automated task derivation based on real-time QA findings

065 GitHub stars

使用场景

01Verifying feature implementations before final review and merge

02Orchestrating complex test suites in polyglot software repositories

03Generating automated compliance and quality reports for development tickets

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add grinrus/ai_driven_dev qa

For use in Claude.ai and ChatGPT