Can I use this for standard software projects?

This skill is specifically optimized for the Codex multi-agent framework and its associated directory structures and configuration files.

Does this skill fix errors automatically?

No, it acts as a validator that identifies issues and provides a detailed report with concrete corrections so you can resolve them in your team structure.

Which users or agents typically use this skill?

This skill is primarily used by the .codex/agents/team-architect.md agent to verify its own output during the team generation process.

What does the Quality Validation skill check?

It checks four key areas: structural completeness (files exist), content completeness (required keys are present), reference consistency (paths resolve), and logical consistency (no overlapping roles).

Quality Validation for Codex

Name: Quality Validation for Codex
Author: chemistrywow31

bychemistrywow31

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Security & Testing

Validates the structural integrity and logical consistency of generated multi-agent team architectures within the Codex framework.

Quality Validation is a specialized utility designed for the Codex multi-agent system to ensure that generated AI team structures are complete, consistent, and ready for deployment. It performs a multi-level audit of the team directory, checking for essential files like AGENTS.md and config.toml, while verifying that all internal references, skill paths, and agent registry entries resolve correctly. By identifying logical overlaps in agent responsibilities and ensuring mapping manifests are accurate, this skill provides developers using Claude Code with a reliable safeguard against broken configurations and architectural errors in complex agentic workflows.

Key Features

01Logical consistency analysis to prevent overlapping agent responsibilities

02Internal reference checking for skills, rules, and registry paths

03Content completeness verification for agent instructions and runtime keys

0437 GitHub stars

05Detailed four-part pass/fail reporting with actionable correction guidance

06Automated structural audits of team directories and configuration files

Use Cases

01Verifying newly generated agent teams before execution to prevent runtime errors

02Debugging broken file paths and missing configurations in complex Codex structures

03Ensuring architectural consistency when scaling multi-agent systems

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add chemistrywow31/a-team quality-validation

For use in Claude.ai and ChatGPT

Key Features

01Logical consistency analysis to prevent overlapping agent responsibilities

02Internal reference checking for skills, rules, and registry paths

03Content completeness verification for agent instructions and runtime keys

0437 GitHub stars

05Detailed four-part pass/fail reporting with actionable correction guidance

06Automated structural audits of team directories and configuration files

Use Cases

01Verifying newly generated agent teams before execution to prevent runtime errors

02Debugging broken file paths and missing configurations in complex Codex structures

03Ensuring architectural consistency when scaling multi-agent systems