Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/nirholas/three.ws/risk-assessmentnpx skills add nirholas/three.ws --skill risk-assessmentgit clone --depth 1 https://github.com/nirholas/three.wsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/nirholas/three.ws/risk-assessment)<a href="https://agentmods.dev/skills/nirholas/three.ws/risk-assessment"><img src="https://agentmods.dev/badge/skills/nirholas/three.ws/risk-assessment.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00029 | $0.01204 |
| Opus 5 | $0.00015 | $0.00602 |
| Sonnet 5 | $0.00006 | $0.00241 |
| Haiku 4.5 | $0.00003 | $0.00120 |
Grade A, and why
risk-assessment scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Portfolio Risk Assessment
When to use this skill
Use when the user asks about:
- Understanding their portfolio's overall risk level
- Identifying hidden risks or correlations
- Stress-testing their portfolio against market scenarios
- Reducing portfolio risk without sacrificing too much upside
- Evaluating whether their risk exposure matches their tolerance
Risk Assessment Framework
1. Concentration Risk
Analyze portfolio distribution:
- Single-asset concentration: Any position > 25% of portfolio is high concentration risk
- Sector concentration: Total exposure to a single sector (e.g., all DeFi tokens) shouldn't exceed 40%
- Chain concentration: Everything on one chain means single-point-of-failure risk (bridge hack, chain halt)
- Herfindahl Index: Calculate HHI = sum of squared weights. Below 0.15 = diversified, above 0.25 = concentrated
| Risk Level | Characteristic |
|---|---|
| Low | No single asset > 15%, no sector > 30%, 3+ chains |
| Medium | One asset 15-25%, sector up to 40%, 2+ chains |
| High | One asset > 25%, sector > 40%, single chain |
| Critical | One asset > 50%, or all in one protocol |
2. Correlation Analysis
Assess how positions move together:
- High correlation cluster: BTC, ETH, and most alts are highly correlated in drawdowns (correlation 0.7-0.95 during crashes)
- Diversification reality: Holding 10 different altcoins does NOT provide meaningful diversification if they all drop 60% together
- True diversification assets: Stablecoins, potentially BTC (lower beta during moderate corrections)
- Negative correlation: Stablecoins and short positions provide true hedge, but at a carry cost
- Correlation increases in crisis: Diversification benefits shrink exactly when you need them most
3. Volatility Risk Profile
Quantify the portfolio's volatility exposure:
- Weighted average volatility: Sum of (position weight * asset 30d annualized volatility)
- Maximum drawdown exposure: Estimate worst-case based on historical max drawdowns of each asset
- $Value at Risk: At 95% confidence over 24h, how much could the portfolio lose?
- Beta to BTC: How much does the portfolio move per 1% BTC move? Beta > 1.5 is aggressive
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago First seen · 111 lines · 29 tokens per session scan A 39360b603ef5
risk-assessment is a skill published in the GitHub repository nirholas/three.ws (110 stars, last pushed today), licensed Apache-2.0. It adds 29 tokens to every session and 1,204 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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