Install
$ agentstack add skill-staskh-trading-skills-risk-assessment ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
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 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 VaR
Explain what the risk metrics mean and suggest position sizing if relevant.
Dependencies
numpyyfinance
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.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: staskh
- Source: staskh/trading_skills
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.