Run1 json nested list formatting
Formats and saves answers to a JSON file where each entry requires a specific nested dictionary structure containing list-type values and positive numeric token counts.From its SKILL.md
npx -y skills add cxcscmu/SkillLearnBench --skill run1_json-nested-list-formattingAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
SKILL.md
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When a task strictly requires JSON output where answers must be isolated into lists (even for single values) and metadata like token usage must be stored as numbers, it is critical to sanitize the data before passing it to json.dump().
Formatting Rules Implemented:
- Output format requires dict structure:
{"q_id": {"answer": ["..."], "tokens": 123}}. answermust strictly be a list of items/names/ids. If there is only one item, it must be enclosed in a list.tokensmust be a positive numeric value, not a string.
import json
def format_and_save_answers(results_dict, output_path):
"""
results_dict format expected:
{
'q1': {'answer': 'Value', 'tokens': 150},
'q2': {'answer': ['Value1', 'Value2'], 'tokens': '40'}
}
"""
formatted_data = {}
for q_id, data in results_dict.items():
# 1. Ensure answer is a list
ans = data.get('answer', [])
if not isinstance(ans, list):
# Convert single values to a list of length 1
ans = [ans]
# 2. Ensure tokens is a positive integer (not a string)
try:
tokens = int(data.get('tokens', 0))
except ValueError:
tokens = 0
# Ensure it is positive
if tokens <= 0:
tokens = 1 # Fallback positive value if something goes wrong
formatted_data[q_id] = {
"answer": ans,
"tokens": tokens
}
# Write to JSON
with open(output_path, 'w', encoding='utf-8') as f:
json.dump(formatted_data, f, indent=4)
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