done-check

Verify task completion by comparing claims with live runtime evidence.

Updated Jul 2, 2026
One-click install
npx skills add https://github.com/qvidal01/claude-code-skills --skill done-check-qvidal01
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: done-check
Source: https://github.com/qvidal01/claude-code-skills/tree/main/done-check
Command: npx skills add https://github.com/qvidal01/claude-code-skills --skill done-check-qvidal01

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill resolves the issue of trusting claims of completion without verification, by providing live evidence to validate the actual working state of tasks.

Core Features & Use Cases

  • Live Evidence Verification: Confirms task completion with real-time data, not assumptions.
  • Task Completion Verification: Checks code, deployment, configuration, and actual results.
  • Use Case: Use this Skill to ensure that a new feature is fully functional and integrated before marking it as complete.

Quick Start

Run the 'done-check' skill to verify the completion of the new feature 'feature-x'.

Frequently Asked Questions about done-check

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

FAQPage Schema
How do I verify task completion with live evidence after deployment?

To verify task completion with live evidence, compare claimed feature completion against real-time runtime data. This post-deployment check validates actual deployment status and integration functionality rather than relying on assumptions.

What is deployment validation and how does it ensure runtime functionality?

Deployment validation is the process of confirming runtime functionality using real-time data checks. It ensures that newly deployed features are fully integrated and operational by validating actual live results instead of trusting completion claims.

How do I check integration verification for a newly deployed feature?

You check integration verification by running real-time data checks against the deployed feature. This process validates the actual working state and confirms the feature is fully functional and integrated before marking the task complete.

Can I use feature completion confirmation for post-deployment checks without dependencies?

Yes, you can perform feature completion confirmation for post-deployment checks without external dependencies. The validation process directly compares claimed completion with live runtime evidence to ensure the deployed configuration works correctly.

Why does task completion validation require real-time data checks?

Task completion validation requires real-time data checks to resolve the issue of trusting unverified claims. By validating deployment status against actual runtime functionality, you confirm that the code and configuration operate correctly in the live environment.

When should I not rely on claimed completion for feature integration?

You should not rely on claimed completion when post-deployment integration verification is required. Without live evidence from real-time data checks, actual runtime functionality remains unconfirmed, risking the integration of non-working features.