Agent skill

Risk Assessment

by staskh in staskh/trading_skills

Assess risk metrics for a stock or position including volatility, beta, VaR, and drawdown analysis.

MITAuto-check passedBusiness, Finance & HR

Install Risk Assessment

skills CLI
$ npx skills add staskh/trading_skills --skill risk-assessment -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install staskh/trading_skills risk-assessment --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/staskh/trading_skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/risk-assessment .claude/skills/risk-assessment && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
risk-assessment
GitHub stars
374
Used in
1 other repo
Token cost
~350 tokens
SKILL.md length
127 words
Files
2 (incl. scripts)
Skills in repo
28
Repo updated
First seen
Licence
MIT

At a glance

Assess risk metrics for a stock or position including volatility, beta, VaR, and drawdown analysis.

  • User asks about risk
  • SKILL.md covers Instructions, Arguments, Output and Dependencies, plus 1 more section
  • Runs Python scripts from its folder; calls uv
  • Position sizing

What it does

Risk Assessment is an agent skill from staskh/trading_skills. 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.

Its SKILL.md is about 350 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/risk.py`).

It sits in Business, Finance & HR. The repository describes itself as: Claude powered advisor system for option traders. The licence is MIT.

When your agent uses it

  • User asks about risk
  • Position sizing

Example prompts

  • “/risk-assessment”

Requirements

  • Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit b71a74f. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • uv

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use uv, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Risk Assessment loads about 350 tokens when it runs. Until then it costs about 54 tokens; SKILL.md has 127 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~54
When it runs · the whole SKILL.md, loaded when a task matches
~350

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from staskh/trading_skills at commit b71a74f, republished under its MIT licence (© staskh). 127 words, ~350 tokens.

Download SKILL.mdSave it as .claude/skills/risk-assessment/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
risk-assessment
description
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.
dependencies
trading-skills

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.

bash
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.

© staskh, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (scripts) in .claude/skills/risk-assessment of staskh/trading_skills.

  • SKILL.md
  • scripts/risk.py

Open the folder on GitHubat commit b71a74f

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in staskh/trading_skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Risk Assessment next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Risk Assessment compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Risk Assessment this skillstaskh/trading_skills3741 repos~350Automated safety check: PassMIT
Technical Analysttradermonty/claude-trading-skills3k5 repos~4.6kAutomated safety check: PassMIT
Creating Financial ModelsChen-zexi/open-ptc-agent7294 repos~1.3kAutomated safety check: PassMIT
Stock APIzhangxiangliang/stock-api2k—~507Automated safety check: PassMIT
Theme Detectortradermonty/claude-trading-skills3k2 repos~4.9kAutomated safety check: PassMIT
Itr Walakaranb192/itr-wala871—~3.6kAutomated safety check: PassMIT

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Questions about Risk Assessment

What does Risk Assessment do?

Assess risk metrics for a stock or position including volatility, beta, VaR, and drawdown analysis. Risk Assessment is an agent skill from staskh/trading_skills. Assess risk metrics for a stock or position including volatility, beta, VaR, and drawdown analysis.

When should I use Risk Assessment?

Risk Assessment fits situations like: user asks about risk; position sizing.

How do I install Risk Assessment in Claude Code?

Run `npx skills add staskh/trading_skills --skill risk-assessment -a claude-code`. Or copy the skill folder (.claude/skills/risk-assessment in staskh/trading_skills) into .claude/skills/risk-assessment in your project. Claude Code loads it when a task matches its description.

How do I install Risk Assessment in Codex?

Run `npx skills add staskh/trading_skills --skill risk-assessment -a codex`. Or copy the skill folder (.claude/skills/risk-assessment in staskh/trading_skills) into .agents/skills/risk-assessment in your project. Codex loads it when a task matches its description.

Can I use Risk Assessment in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add staskh/trading_skills --skill risk-assessment -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/risk-assessment, .gemini/skills/risk-assessment, .github/skills/risk-assessment and .opencode/skills/risk-assessment in your project.

What does Risk Assessment need to run?

Going by SKILL.md and its folder, Risk Assessment needs Python for the scripts in its folder and the command-line tools its instructions call (uv). Our summary lists: Python 3.

Does Risk Assessment access the network?

SKILL.md contains no URLs. Its commands use uv, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Risk Assessment safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Risk Assessment use?

Risk Assessment is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Risk Assessment use?

About 350 tokens (SKILL.md is roughly 1.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Risk Assessment?

Skills that share tags, products or a category with Risk Assessment: Technical Analyst (tradermonty/claude-trading-skills, 3k stars), Creating Financial Models (Chen-zexi/open-ptc-agent, 729 stars), Stock API (zhangxiangliang/stock-api, 2k stars) and Theme Detector (tradermonty/claude-trading-skills, 3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Risk Assessment?

staskh (a GitHub user) maintains it in staskh/trading_skills, which has 374 GitHub stars. The repository holds 28 skills in this directory. The repository was last updated on September 28, 2026.

Source: staskh/trading_skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.