aiagent-verify-module

Run the verification pipeline to generate structured JSON progress reports.

345|12|Updated Apr 14, 2026

Search Tags:#education #ai #evaluation #assessment #verify #module #progress

Ready to run

npx skills add https://github.com/minicoohei/ai-agent-camp --skill aiagent-verify-module

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: aiagent-verify-module
Source: https://github.com/minicoohei/ai-agent-camp/tree/main/.claude/skills/aiagent-verify-module
Command: npx skills add https://github.com/minicoohei/ai-agent-camp --skill aiagent-verify-module

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Verifies that a learner has completed all lessons in a module and that produced outputs meet expectations.

Core Features & Use Cases

Run the verification script to collect factual data about module progress and outputs.
Parse the JSON report to enumerate existing lessons, outputs, and defined checkpoints.
Generate a structured evaluation report that includes a final grade, per-lesson details, and actionable remediation steps.

Quick Start

Run the verification command to generate a module report for a specific module number.

Frequently Asked Questions about aiagent-verify-module

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

FAQPage Schema

How do I verify module completion and check lesson outputs with AI evaluation?▼

AI evaluation verifies module completion by running a factual verification pipeline to analyze lesson files, checkpoints, and artifacts, generating a structured JSON report that confirms all outputs are correct.

What is the best way to generate a comprehensive progress report for multiple lessons?▼

To generate a comprehensive progress report for multiple lessons, run the verification script to collect factual data on produced files and checkpoints, then parse the structured JSON to enumerate per-lesson details and final grades.

Can I use AI assessment to evaluate learning artifacts without modifying user progress?▼

Yes, AI assessment evaluates learning artifacts while remaining strictly read-only, ensuring the verification pipeline analyzes lesson outputs and checkpoints without modifying the original user progress data.

How does AI-driven module verification handle incomplete lessons and outputs?▼

AI-driven module verification parses the JSON report to enumerate existing lessons and defined checkpoints, identifying incomplete outputs and generating actionable remediation steps within the structured evaluation report.

Do I need to run a specific script to verify lesson checkpoints and artifacts?▼

Yes, you must run the factual verification pipeline script to verify lesson checkpoints and artifacts, which produces the structured JSON output required to build the comprehensive module evaluation report.

What limitations exist when verifying module progress with AI evaluation?▼

AI evaluation for module progress is limited to read-only verification of existing files, checkpoints, and artifacts, meaning it cannot modify user progress or execute lessons to generate missing outputs.