CtrlK
BlogDocsLog inGet started
Tessl Logo
SkillPublic

risk-assessment

Assess risk metrics for a stock or position including volatility, beta, VaR, and drawdown analysis. Use when user asks about risk, volatility, beta, VaR, value at risk, drawdown, or position sizing.

Quality

89%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide
SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Risk Assessment

Calculate risk metrics for stocks and positions.

Instructions

Note: If uv is not installed or pyproject.toml is not found, replace uv run python with python in all commands below.

uv run python scripts/risk.py SYMBOL [--period PERIOD] [--position-size SIZE]

Arguments

  • SYMBOL - Ticker symbol
  • --period - Analysis period: 1mo, 3mo, 6mo, 1y (default: 1y)
  • --position-size - Dollar amount for position-specific metrics (optional)

Output

Returns JSON with:

  • volatility - Historical volatility (annualized)
  • beta - Beta vs SPY
  • var_95 - 95% Value at Risk (daily)
  • var_99 - 99% Value at Risk (daily)
  • max_drawdown - Maximum drawdown in period
  • sharpe_ratio - Risk-adjusted return
  • position_risk - If position-size provided, dollar VaR

Explain what the risk metrics mean and suggest position sizing if relevant.

Dependencies

  • numpy
  • yfinance

Timezone

All 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.

Repository

staskh/trading_skills

Path

.claude/skills/risk-assessment/SKILL.md

Last updated
First committed

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.