risk-assessment — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited risk-assessment (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.
Calculate risk metrics for stocks and positions.
Note: Ifuvis not installed orpyproject.tomlis not found, replaceuv run pythonwithpythonin all commands below.
uv run python scripts/risk.py SYMBOL [--period PERIOD] [--position-size SIZE]SYMBOL - Ticker symbol--period - Analysis period: 1mo, 3mo, 6mo, 1y (default: 1y)--position-size - Dollar amount for position-specific metrics (optional)Returns JSON with:
volatility - Historical volatility (annualized)beta - Beta vs SPYvar_95 - 95% Value at Risk (daily)var_99 - 99% Value at Risk (daily)max_drawdown - Maximum drawdown in periodsharpe_ratio - Risk-adjusted returnposition_risk - If position-size provided, dollar VaRExplain what the risk metrics mean and suggest position sizing if relevant.
numpyyfinanceAll 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.