Install
$ agentstack add skill-gajetoso-financeskills-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
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](./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](./references/risk-metrics.md): Explaining VaR and Z-Score.
- [Mitigation Strategies](./references/hedging-guide.md): 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.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: GAJETOso
- Source: GAJETOso/financeskills
- 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.