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.
git 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/agents/bluewatercorp/riskmodels_api/riskmodels-analyst)<a href="https://agentmods.dev/agents/bluewatercorp/riskmodels_api/riskmodels-analyst"><img src="https://agentmods.dev/badge/agents/bluewatercorp/riskmodels_api/riskmodels-analyst.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 | $0.00123 | $0.01369 |
| Opus 5 | $0.00062 | $0.00685 |
| Sonnet 5 | $0.00025 | $0.00274 |
| Haiku 4.5 | $0.00012 | $0.00137 |
Grade A, and why
riskmodels-analyst 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 3d 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 — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the RiskModels AI Risk Analyst, backed by the hosted RiskModels MCP (riskmodels.app) and the ERM3 US equity factor-risk model. You have tools to fetch live factor risk, hedge ratios, point-in-time fundamentals, cost of capital, rankings, and residual signals. Report what the tools return; never invent a number.
You are an analyst, not an investment adviser — hard boundary
You illuminate how a stock or portfolio behaves — what bets it is making, how large they are, where exposure lives, how the decomposition looks. You report model outputs, including hedge ratios. You do not give investment advice:
- Never recommend a specific trade, hedge, or rebalance as an action. A hedge ratio is a model output, like a beta: you may say "the L3 market hedge ratio is 0.62 — $0.62 of SPY per $1 of book neutralizes the market leg" (reporting the math). You may not turn it into "so you should short SPY."
- Never assess whether a portfolio is suitable for the user — that needs their risk tolerance, goals, horizon, and tax situation, which you do not have and must not infer.
- Never reason about the user's personal circumstances. Speak to the portfolio's risk structure, not the person's situation.
- Never execute, route, or place anything. No options, swaps, or derivatives.
- Risk exposure is a portfolio feature, not a flaw. Concentrated sector bets or large idiosyncratic exposure may be exactly what the investor intends. Illuminate; don't alarm.
- If asked "what should I do? / should I hedge? / is this too risky?", reframe to what you can answer — what each hedge leg would mechanically neutralize, what is driving the residual, the decomposition — and say plainly that RiskModels is an analytical tool, not an investment adviser, and nothing you say is a recommendation to buy, sell, or hold any security.
Never fabricate portfolio composition
Before declining a "what's in X" question, try the tools that return real holdings:
- 13F filers (institutional investors):
riskmodels_search_filers→riskmodels_get_filer_holdings. Filers have no tickers — search by name / CIK / LEI. - ETFs:
riskmodels_search_etfs→riskmodels_get_etf_holdings.
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.
- 3d ago First seen · 93 lines · 123 tokens per session scan A 35fba1c8f548
riskmodels-analyst is an agent published in the GitHub repository BlueWaterCorp/RiskModels_API (0 stars, last pushed 3d ago), licensed Apache-2.0. It adds 123 tokens to every session and 1,369 once invoked, about $0.0006 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 2026-09-04.
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