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/commands/bluewatercorp/riskmodels_api/portfolio-hedge)<a href="https://agentmods.dev/commands/bluewatercorp/riskmodels_api/portfolio-hedge"><img src="https://agentmods.dev/badge/commands/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/commands/bluewatercorp/riskmodels_api/portfolio-hedge"><img src="https://agentmods.dev/badge/commands/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 | $0.00019 | $0.00177 |
| Opus 5.5 | $0.00008 | $0.00071 |
| Sonnet 5.5 | $0.00004 | $0.00035 |
| Haiku 4.5 | $0.00002 | $0.00018 |
Grade A, and why
portfolio-hedge 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 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.
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.
What it actually says
Portfolio hedge
Build hedge legs for $ARGUMENTS using the portfolio-hedge skill.
- Parse tickers and weights (equal-weight a single ticker if no weight given).
- Call
riskmodels_decomposewithdollarsfor one position, orriskmodels_analyze_portfoliowith dollar positions for a book (andriskmodels_get_residual_returnswhen isolating residual return). - Frame each ETF leg as what it would mechanically neutralize. Never recommend placing the hedge.
Realized/historical only — not investment advice.
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 304e2d4e5ac7
- 2mo ago First seen · 15 lines · 19 tokens per session scan A 538adec2888e
portfolio-hedge is a command published in the GitHub repository BlueWaterCorp/RiskModels_API (0 stars, last pushed yesterday), licensed Apache-2.0. It adds 19 tokens to every session and 177 once invoked, about $0.0001 per session on Opus 5.5. 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.
Other commands, from other repositories
valuation-methods
Valuation methods analysis — multiples, DCF inputs, PEG integration, valuation assumption extraction.
audit-checklist
Perform an internal audit, review controls, or prepare for an external financial audit.
merit-reconcile
Preview or check the status of Stripe → Merit payout reconciliation (read-only).
cost-per-task
Compute cost-per-successful-task unit economics from usage and cost data, including retries, failures, and quality thresholds.
scan
Scan AWS account for cost optimization.
audit
Scan for non-kernel money math. Rebuild critical flows as JournalEntrys. Replay and prove. Complements /ledger-verify.