Run3 one fund analysis
[COLM'26] SkillLearnBench is the first benchmark for evaluating continual learning methods that automatically generate agent skills.
npx -y skills add cxcscmu/SkillLearnBench --skill run3_one_fund_analysisAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
What its author says it does
Copied from the file, not written here
Extracts AUM and total holdings count for a specific fund using its accession number and the quarter folder path.
SKILL.md
0.7 KB, 151 tokens by cl100k_base, as published. Nobody here has run it
To retrieve fund metrics, use the scripts/one_fund_analysis.py tool.
- Parameters:
--accession_number: The ID found via fuzzy search.--quarter_path: The directory path (e.g.,/root/2025-q3).
- Unit Handling: Ensure the final AUM calculation accounts for the 1,000x scaling factor typically used in SEC filings (if the raw data is in thousands, multiply by 1,000 to reach the base unit).
- Execution:
python3 scripts/one_fund_analysis.py --accession_number <acc_num> --quarter_path /root/2025-q3
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.