Risk Assessment Agent Skill

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.

566 tokens

context cost

the whole folder, loaded on every use

files

ships runnable scripts

copies elsewhere

how many repositories repackaged it

308

stars on the repo

on the repository, not the skill itself

Install

one command, takes just this skill from the repository

npx skills add https://github.com/staskh/trading_skills --skill risk-assessment

The instruction itself

6 sections, as written by the author

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.

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How to use it

Copy the folder

Take staskh/risk-assessment from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.