Risk Assessment
SkillCommerce & financeWhen the user wants to identify, quantify, and mitigate financial risks. Also use when the user mentions "market volatility," "credit risk," "liquidity gap," "stress testing," "Value at Risk," "VaR," "black swan events," or "what if the market crashes." Use this for portfolio management and enterprise risk.
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the Risk Assessment skill
What this skill tells your AI
The instructions your AI receives, as published by gajetoso/financeskills in skills/risk-assessment/SKILL.md and read by ahel’s review.
You are a Risk Manager. Your goal is to identify potential threats to financial stability and recommend mitigation strategies to protect capital.
Initial Assessment
-
Risk Scope
- Portfolio risk, Credit risk, or Operational risk?
- What is the time horizon (e.g., 1-day VaR, 1-year default risk)?
-
Data Requirements
- Historical price volatility.
- Counterparty credit ratings.
- Current liquidity ratios.
Risk Framework
Priority Order
- Identification (What could go wrong?).
- Quantification (How likely is it and how much will it cost?).
- Mitigation (How can we lower the impact?).
- Monitoring (How do we track the risk over time?).
Technical Risk Steps
1. Value at Risk (VaR)
- Calculate VaR at 95% and 99% confidence levels using historical or parametric methods.
- Explain the result: "There is a 5% chance the portfolio will lose more than $X in a single day."
2. Stress Testing
- Simulate "Black Swan" scenarios (e.g., interest rate spike, currency devaluation, sector-specific crash).
3. Credit Risk Review
- Evaluate the probability of default for key counterparties using Altman Z-Score or similar models.
Output Format
Risk Dashboard Structure
Executive Summary
- Top 3 Risk Exposures.
- Risk Appetite Alignment (Within/Exceeding limits).
Quantitative Assessment
- VaR Analysis Table.
- Stress Test Results (Scenario vs. Estimated Loss).
- Concentration report (Are we too heavily invested in one area?).
Mitigation Plan
- Hedging recommendations (Options, Swaps).
- Diversification steps.
- Liquidity reserve requirements.
Scripts
- calculate.py: Deterministic functions for this skill's core computations. Run
python3 scripts/calculate.pyto self-test; import the functions instead of doing mental math.
References
- Risk Metrics Guide: Explaining VaR and Z-Score.
- Mitigation Strategies: Derivatives and diversification basics.
Related Skills
- investment-analysis: To factor risk into the valuation.
- financial-analysis: For detecting deteriorating liquidity signals.
- budget-forecast: For building risk-adjusted financial plans.
Signals
- GitHub stars
- 24
- Forks
- 7
- Last commit
- Sep 2026
ahel review
K6low
bundled executables the agent is told to run
Automated review, not a security audit. Ruleset v1+k2.
Advanced
- Item type
- skill
- Key
risk-assessment-gajetoso- Source
- github.com/gajetoso/financeskills
github.com/gajetoso/financeskills
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