verifier

Validate task completion against acceptance criteria and determine loop termination.

4|2|Updated Dec 28, 2025
One-click install
npx skills add https://github.com/lazygophers/ccplugin --skill verifier-lazygophers
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: verifier
Source: https://github.com/lazygophers/ccplugin/tree/main/plugins/tools/task/skills/verifier
Command: npx skills add https://github.com/lazygophers/ccplugin --skill verifier-lazygophers

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill ensures that tasks meet predefined acceptance criteria, verifies completion status, and determines if loop termination conditions have been met, preventing incomplete or incorrect task execution.

Core Features & Use Cases

  • Acceptance Criteria Validation: Checks if all specified task requirements are satisfied.
  • Completion Status Verification: Confirms whether a task has been fully executed.
  • Loop Termination Decision: Determines if a process should continue or end based on validation outcomes.
  • Use Case: After an AI agent completes a coding task, this Skill can verify if the code compiles, passes all tests, and meets performance benchmarks before proceeding to the next stage.

Quick Start

Use the verifier skill to execute loop step 4 for result validation against all task acceptance criteria.

Frequently Asked Questions about verifier

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

FAQPage Schema
How do I validate task completion against acceptance criteria?

To validate task completion against acceptance criteria, the system checks if all specified requirements are satisfied, confirms full execution, and provides actionable feedback on the outcome.

What is the best way to determine loop termination conditions in an iterative process?

Determining loop termination conditions in an iterative process requires rigorous outcome assessment to decide if a process should continue or end based on predefined validation outcomes and quantitative standards.

How do I verify AI agent coding tasks meet performance benchmarks before proceeding?

Verifying AI agent coding tasks before proceeding involves applying quality assurance checks to ensure code compiles, passes tests, and meets performance benchmarks before advancing to the next stage.

When do I need acceptance criteria validation for quality assurance?

Acceptance criteria validation for quality assurance is needed for iterative processes requiring rigorous outcome assessment to prevent incomplete or incorrect task execution and ensure adherence to quantitative standards.

Does the verifier work without external dependencies?

The verifier operates without external dependencies, using internal scripts and references to validate task completion, verify execution status, and determine loop termination conditions independently.

What actionable feedback does task completion verification provide?

Task completion verification provides actionable feedback on execution status by validating outcomes against quantitative standards, ensuring adherence to predefined criteria, and determining if the process should continue or end.