Run3 question parsing

Question Parsing Skill

Step 1: Load Question File

• Read /root/question.txt completely
• Handle any encoding issues (UTF-8)
• Preserve all question entries

Step 2: Parse Each Question

For each line/entry in the file:

• Extract the question ID (e.g., "q1", "q2", "q3")
• Extract the question text
• Identify the artifact/product context mentioned in the question
• Identify the entity type being asked for (e.g., reviewers, contributors, participants)
• Store parsed metadata in a structured dictionary

Step 3: Validate and Debug

• Print all parsed questions with their IDs, artifact contexts, and entity types
• Verify the total count matches expectations
• Check for any malformed entries
• Confirm key names and values are correctly extracted

Step 4: Return Parsed Questions

Return a dictionary mapping question IDs to:

{
  "question_id": "q1",
  "text": "full question text",
  "artifact_context": "artifact or product name",
  "entity_type": "reviewers|contributors|participants|etc",
  "parsed_at": timestamp
}