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 skills add BlueWaterCorp/RiskModels_API --skill portfolio-hedgegit clone --depth 1 https://github.com/BlueWaterCorp/RiskModels_APIWrote 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/bluewatercorp/riskmodels_api/portfolio-hedge)<a href="https://agentmods.dev/skills/bluewatercorp/riskmodels_api/portfolio-hedge"><img src="https://agentmods.dev/badge/skills/bluewatercorp/riskmodels_api/portfolio-hedge/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/bluewatercorp/riskmodels_api/portfolio-hedge"><img src="https://agentmods.dev/badge/skills/bluewatercorp/riskmodels_api/portfolio-hedge.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00085 | $0.00950 |
| Opus 5.5 | $0.00034 | $0.00380 |
| Sonnet 5.5 | $0.00017 | $0.00190 |
| Haiku 4.5 | $0.00009 | $0.00095 |
Grade B, and why
portfolio-hedge scanned grade B with 1 finding 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 19d 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.
Subtle steeringmediumPrompt injection
Instructions that bias recommendations or shape behaviour without the user noticing.
neutralize; never tell the user to place, trim, or rebalance a trade, and never How it starts
The opening of the file, as written. The whole thing — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Portfolio & position hedging (ERM3 cascade + Lstar)
Report the ETF hedge legs the decomposition implies for a position or portfolio. This skill wraps the hosted RiskModels MCP and reports tool outputs; it computes nothing itself.
What to call
riskmodels_get_my_positions— the caller's linked book (Alpaca Connect, Connect Trade, or Plaid). Call this first when the user means their account and has not pasted tickers. Passfor_analysisandfor_hedgeto the long-only portfolio tools below; whenhas_shortsis true or the book has more than 100 names, passfor_exposuretoriskmodels_portfolio_exposure. This server does not place orders.riskmodels_decomposewithdollars— one ticker: scale the L-level ETF hedge ratios to a dollar position.riskmodels_analyze_portfolio— a long-only book: holdings-weighted L1/L2/L3 hedge-level aggregate; with dollar positions it also scales the hedge ratios at the chosen cascade level (levelL1/L2/L3) into ETF USD hedge legs.riskmodels_portfolio_exposure— a signed long/short book (dollar values, short < 0, up to 1000 names): beta-dollars by sector, the ETF trades that neutralise the book at L1/L2/L3, and the systematic vs residual risk split. Use it whenever any position is short or the book has more than 100 names;riskmodels_analyze_portfoliotakes long positions only (up to 100). Report anycoverage.droppednames orwarningsto the user.riskmodels_get_residual_returns(1-100 tickers) — dispatch the simplest cascade level that clears the marginal-ER threshold for a name (or basket) and return the residual-return series after that hedge.
For an ETF or 13F filer named instead of pasted tickers, resolve real holdings first
(riskmodels_search → riskmodels_get_etf with holdings_top, or
riskmodels_get_filer with holdings_top / riskmodels_get_fund with holdings_limit) and treat the result as the portfolio. Never
fabricate or approximate holdings — if no tool covers the portfolio, say so and ask
the user to paste the positions.
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.
- 19d ago Changed · -1 lines 180c9c2cf67d
- 25d ago Changed · +7 lines cfd38fe263eb
- 29d ago Changed · +4 lines 3e3b91fa5422
- 2mo ago First seen · 60 lines · 85 tokens per session scan B 91377aa708bb
portfolio-hedge is a skill published in the GitHub repository BlueWaterCorp/RiskModels_API (0 stars, last pushed yesterday), licensed Apache-2.0. It adds 85 tokens to every session and 950 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it B with 1 finding (subtle steering). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-04.
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