quality-validation

Compares AI-generated deliverables against original user requirements to validate task completion.

19|Updated Jan 30, 2026

Search Tags:#quality assurance #code review #validation #verification #task completion #deliverables

Ready to run

npx skills add https://github.com/xobotyi/cc-foundry --skill quality-validation-xobotyi

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: quality-validation
Source: https://github.com/xobotyi/cc-foundry/tree/main/plugins/the-crucible/skills/quality-validation
Command: npx skills add https://github.com/xobotyi/cc-foundry --skill quality-validation-xobotyi

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill ensures that any work completed by the AI precisely matches the user's original request, preventing incomplete or incorrect deliverables.

Core Features & Use Cases

Task Completion Verification: Compares the final output against the initial prompt to confirm all requirements are met.
Multi-Format Support: Provides specific validation steps for code changes, documentation, research, and refactoring tasks.
Use Case: After the AI writes code, this skill checks if the code functions as requested, passes tests (if applicable), and adheres to existing patterns before the AI reports the task as done.

Quick Start

Use the quality-validation skill to verify that the code changes fulfill the user's request.

Frequently Asked Questions about quality-validation

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I validate AI-generated deliverables against original requirements?▼

Task completion verification compares final AI outputs against initial user prompts to confirm all requirements are met. It enforces that partial completion is not considered done and guides the AI to fix issues or report honestly if blocked.

What's the best way to ensure code changes fulfill the user's request?▼

Ensuring code changes fulfill the user's request involves checking if the code functions as requested, passes applicable tests, and adheres to existing patterns before the AI reports the task as done. This prevents incomplete or incorrect deliverables.

Does task completion verification support documentation and research tasks?▼

Task completion verification supports documentation and research tasks by providing specific validation steps for each. It compares the final output against the initial prompt to confirm all requirements are met across various multi-format task types.

How do I stop partial completion from being considered done?▼

Stopping partial completion from being considered done requires a validation process that strictly compares deliverables against original requirements. It guides the AI to fix issues or report honestly if blocked, preventing incomplete work from passing.

Can I use quality validation for refactoring tasks?▼

You can use quality validation for refactoring tasks as it provides specific validation steps for this task type. It verifies that the refactored deliverables precisely match the user's original request, preventing incorrect code changes from passing.

What happens when AI cannot fully meet the original requirements?▼

When AI cannot fully meet the original requirements, the validation process guides it to report honestly if blocked. It enforces that partial completion is not considered done and directs the AI to fix the outstanding issues before reporting completion.