Run2 fund analysis pro
Advanced fund analysis with share change verification to distinguish between price movement and deliberate investment.From its SKILL.md
npx -y skills add cxcscmu/SkillLearnBench --skill run2_fund-analysis-proAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
SKILL.md
1.0 KB, 229 tokens by cl100k_base, as published. Nobody here has run it
Usage
Handling Script Bugs
The provided one_fund_analysis.py may have bugs in its stock classification list (missing commas). For accurate results, use a custom Python script or manual aggregation:
import pandas as pd
df = pd.read_csv("/root/2025-q3/INFOTABLE.tsv", sep="\t", dtype=str)
df["VALUE"] = df["VALUE"].astype(float)
df["SHARES"] = df["SSHPRNAMT"].astype(float)
# Filter by accession number and aggregate by CUSIP
fund_data = df[df["ACCESSION_NUMBER"] == "XXXXX-XX-XXXXXX"]
summary = fund_data.groupby("CUSIP").agg({"VALUE": "sum", "SHARES": "sum", "NAMEOFISSUER": "first"})
Distinguishing Investment Decisions
"Increased investment" should be verified by checking SHARE_CHANGE.
- Calculate
SHARE_CHANGE = SHARES_q3 - SHARES_q2. - Filter for
SHARE_CHANGE > 0. - Rank by
VALUE_CHANGE.
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.