AI Agent Verify Module

Use this skill to verify whether a learner has successfully completed all lessons in a given module.

Inputs

• A module number (e.g. 1 for Module 1: Banner/Image Generation)

Workflow

1. Run the verification script to collect factual data:

   uv run python tools/verify_module.py --module <N> --json
   

2. Parse the JSON output to understand:
   • Which lessons exist in the module
   • Which output files were expected and whether they exist/are valid
   • What checkpoints each lesson defines
3. For each lesson with existing output files, read the files to evaluate quality.
4. For subjective checkpoints (e.g. "understood X"), ask the user for confirmation.
5. Produce a structured evaluation report:
   • Grade:
     • A: 全レッスン完了 + 出力ファイルが正しい形式 + 追加の工夫あり
     • B: 全レッスン完了 + 出力ファイルが正しい形式
     • C: 一部レッスン未完了だが主要タスクは完了
     • D: 主要タスクが未完了
   • Per-lesson details: output status, checkpoint achievement
   • Feedback: specific remediation steps for missing items
   • Next steps: which lessons to redo or which module to proceed to

Required References

• .cursor/commands/lesson/start-*.md — lesson definitions with checkpoints and output paths
• tools/verify_module.py — factual verification script
• tools/lesson_progress.py — progress tracking utilities

Safety

• This skill is read-only. It does not modify any files or progress state.
• Never pretend the user can run Cursor slash commands directly in Codex.

Expected Output

• Module completion summary table
• Per-lesson breakdown with output status
• Overall grade (A/B/C/D)
• Actionable feedback and next steps