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Fuzzy fund search

Skill cxcscmu/SkillLearnBench/skills/b1-one-shot-claude-sonnet-4-6/financial-analysis/fuzzy-fund-search

Fuzzy search SEC 13-F COVERPAGE.tsv to find fund names and accession numbers by approximate name matching.From its SKILL.md

Install
npx -y skills add cxcscmu/SkillLearnBench --skill fuzzy-fund-search

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SKILL.md

1.7 KB, 423 tokens by cl100k_base, as published. Nobody here has run it

Fuzzy Fund Search Skill

Overview

Fund names in SEC filings may differ slightly from common names. Use fuzzy matching to find the best match.

Method: Simple substring / case-insensitive search

import pandas as pd

coverpage = pd.read_csv("/root/2025-q3/COVERPAGE.tsv", sep="\t", dtype=str)

# Case-insensitive substring search
results = coverpage[coverpage["FILINGMANAGER_NAME"].str.contains("renaissance", case=False, na=False)]
print(results[["ACCESSION_NUMBER", "FILINGMANAGER_NAME"]].to_string())

Method: Using rapidfuzz for fuzzy matching

from rapidfuzz import process, fuzz

coverpage = pd.read_csv("/root/2025-q3/COVERPAGE.tsv", sep="\t", dtype=str)
names = coverpage["FILINGMANAGER_NAME"].fillna("").tolist()

query = "renaissance technologies"
matches = process.extract(query, names, scorer=fuzz.token_sort_ratio, limit=5)
for match_name, score, idx in matches:
    print(f"Score: {score}, Name: {match_name}, Accession: {coverpage.iloc[idx]['ACCESSION_NUMBER']}")

Method: Search CUSIP for a stock by name

infotable = pd.read_csv("/root/2025-q3/INFOTABLE.tsv", sep="\t", dtype=str)

# Search by issuer name
results = infotable[infotable["NAMEOFISSUER"].str.contains("palantir", case=False, na=False)]
# Get unique CUSIPs
print(results[["CUSIP", "NAMEOFISSUER"]].drop_duplicates())

Tips

  • Fund names are often uppercase in filings (e.g., "RENAISSANCE TECHNOLOGIES LLC")
  • Search both Q2 and Q3 data since accession numbers change per quarter
  • Always verify with multiple search terms if first attempt returns no results

What ships with it

Read from the repository

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

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