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Run1 formatted json answer generation

Skill cxcscmu/SkillLearnBench/skills/b3-teacher-feedback-gemini-3-flash-preview/enterprise-information-search/run1_formatted-json-answer-generation

Generating a JSON output file with specific requirements for list-based answers and numeric token counts.From its SKILL.md

Install
npx -y skills add cxcscmu/SkillLearnBench --skill run1_formatted-json-answer-generation

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

SKILL.md

0.9 KB, 225 tokens by cl100k_base, as published. Nobody here has run it

The output must be a JSON dictionary stored at /root/answer.json. Every answer must be a list, even if it contains only one item.

  1. Structure Construction:
    • Ensure the key matches the question ID (e.g., "q1").
    • Wrap the result in a list: {"answer": ["Result"]}.
    • If multiple results are found, extend the list: {"answer": ["Result1", "Result2"]}.
  2. Token Logging:
    • Capture the token count from the LLM response metadata.
    • Ensure the value is a positive integer/float (not a string).
  3. Serialization:
    import json
    output_data = {
        "q1": {"answer": ["Apple", "Banana"], "tokens": 45},
        "q2": {"answer": ["OnlyOneItem"], "tokens": 30}
    }
    with open('/root/answer.json', 'w') as f:
        json.dump(output_data, f, indent=4)
    

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

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