check-mechanism

Validate AI coding workflow tasks across planning, doing, and learning stages.

22|5|Updated Mar 16, 2026
One-click install
npx skills add https://github.com/logic-math/rick --skill check-mechanism
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: check-mechanism
Source: https://github.com/logic-math/rick/tree/main/.rick/skills/check_mechanism_skill
Command: npx skills add https://github.com/logic-math/rick --skill check-mechanism

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires mock_agent_testing.py, and includes scripts (resource) components.

What problem does it solve?

This Skill automates the checking process for AI coding workflows, ensuring accuracy and reliability by validating tasks, learning, and dream stages.

Core Features & Use Cases

  • Automated Task Checking: Validates tasks created during the planning, doing, and learning stages of AI coding workflows.
  • Error Analysis: Identifies and reports errors, facilitating precise troubleshooting and resolution.
  • Use Case: For instance, if a task fails during the execution phase, this Skill can automatically check for common issues like missing dependencies or incorrect formatting.

Quick Start

Run the check mechanism to verify the integrity of your AI coding workflow tasks.

Frequently Asked Questions about check-mechanism

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

FAQPage Schema
How do I automate error analysis for AI coding workflows?

This Skill automates error analysis for AI coding workflows by validating tasks across planning, doing, and learning stages. It automatically identifies and reports errors to facilitate precise troubleshooting and resolution.

What is task validation in AI coding workflows?

Task validation in AI coding workflows is the automated process of checking tasks during planning, doing, and learning stages. This mechanism verifies task integrity and reports common issues like missing dependencies or incorrect formatting.

Do I need mock_agent_testing.py to validate AI coding tasks?

Yes, you need mock_agent_testing.py to validate AI coding tasks. This dependency is required to simulate AI agent behavior during the automated checking process across the workflow stages.

How do I check for missing dependencies in AI agent tasks?

You can check for missing dependencies in AI agent tasks by running this Skill's automated check mechanism. It verifies task integrity during the execution phase and automatically reports common formatting or dependency issues.

What's the best way to ensure accuracy in AI coding workflows?

The best way to ensure accuracy in AI coding workflows is to automate task validation across all stages. This mechanism checks planning, doing, and learning tasks, identifying execution errors to enhance overall reliability.