What happens if an iteration loop gets stuck?

The skill enforces maximum iteration limits (e.g., 10 cycles) and clear exit criteria to prevent infinite loops, automatically escalating the issue to the user if a solution isn't found.

How does this skill handle AI cost management?

It includes specialized 'cost gate' patterns that calculate estimated expenses for multi-model reviews or large operations and prompt the user for explicit approval before spending.

Can I use this for Test-Driven Development (TDD)?

Yes, it provides logic for write-test-run-fix loops, allowing Claude to autonomously iterate on code until it satisfies all defined test cases.

How is issue severity classified?

Issues are categorized into Critical (blocks functionality), High (major bugs), Medium (code quality), and Low (polish), allowing the system to prioritize fixes based on impact.

What is a Quality Gate in Claude Code?

A quality gate is a strategic checkpoint in a workflow where execution pauses for manual or automated validation to ensure work meets specific standards before proceeding to the next phase.

Quality Gates

Name: Quality Gates
Author: involvex

byinvolvex

0•

安全与测试

Implements rigorous quality checkpoints, user approval gates, and iterative feedback loops for high-reliability AI development workflows.

Quality Gates provides a robust framework for managing multi-agent and autonomous development workflows by introducing systematic checkpoints and validation cycles. It empowers developers to define clear exit criteria, classify issue severity, and enforce manual or automated approval steps, ensuring that AI-generated code meets production standards before proceeding. By implementing battle-tested patterns like TDD loops and multi-reviewer consensus, this skill shifts Claude from a single-pass generator to an iterative refinement system that minimizes errors and aligns closely with user expectations.

主要功能

01Test-Driven Development (TDD) loop implementation patterns

02Configurable User Approval Gates for costs and quality

03Multi-Reviewer Consensus Logic for multi-model validation

040 GitHub stars

05Automated Iteration Loops with defined exit criteria

064-Level Issue Severity Classification (Critical to Low)

使用场景

01Automating complex bug fixes through iterative TDD cycles that run until all unit tests pass.

02Preventing unexpected API costs by enforcing approval gates before large-scale refactoring tasks.

03Establishing multi-agent review systems where code must achieve a majority consensus before merging.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add involvex/involvex-claude-marketplace quality-gates

For use in Claude.ai and ChatGPT

Download Skill