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
npx -y skills add cxcscmu/SkillLearnBench --skill run1_formatted-json-answer-generationAssembled 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.
- 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"]}.
- Token Logging:
- Capture the token count from the LLM response metadata.
- Ensure the value is a positive integer/float (not a string).
- 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.