insider-trading — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited insider-trading (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Fetch recent insider transactions from Yahoo Finance (SEC Form 4 data).
Note: Ifuvis not installed orpyproject.tomlis not found, replaceuv run pythonwithpythonin all commands below.
uv run python scripts/insider_trading.py SYMBOLS [--days DAYS]SYMBOLS - Single ticker or comma-separated list (e.g., NVDA or NVDA,PLTR,GOOG)--days - Trailing days to look back (default: 90)Returns JSON with:
transactions - List of insider trades with insider name, role, transaction type, shares, price, value, date, ownership typesummary - Net sentiment (net_buying, net_selling, neutral), buy/sell counts and valuesFor multiple symbols, results are ranked by net buying value (most buying first).
yfinanceAll timestamps and time-based calculations must use the America/New_York timezone. All JSON output must include generated_at (NY time string) and data_delay fields.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.