Borrowing it
Nothing to install: this file belongs to BlueWaterCorp/RiskModels_API. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/BlueWaterCorp/RiskModels_API/main/.cursor/skills/risk-judgment-shape/SKILL.mdgit 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/risk-judgment-shape)<a href="https://agentmods.dev/skills/bluewatercorp/riskmodels_api/risk-judgment-shape"><img src="https://agentmods.dev/badge/skills/bluewatercorp/riskmodels_api/risk-judgment-shape/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/risk-judgment-shape"><img src="https://agentmods.dev/badge/skills/bluewatercorp/riskmodels_api/risk-judgment-shape.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 | $0.00073 | $0.02084 |
| Opus 5.5 | $0.00029 | $0.00834 |
| Sonnet 5.5 | $0.00015 | $0.00417 |
| Haiku 4.5 | $0.00007 | $0.00208 |
Grade A, and why
risk-judgment-shape 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 2mo 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 — 171 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Risk Judgment — public boundary
What this skill protects
The bwmacro/RiskModels stack centralizes risk interpretation (turning raw ERM3 outputs into qualified, PM-readable language) into a single engine that lives privately in BWMACRO. RiskModels_API is the public layer — data, math, chart primitives — and must not contain the editorial vocabulary that the engine produces.
If you are about to write a string like:
"Strong Residual Alpha","Solid Residual Quality","Muted", …"performance is beta-driven","returns are driven by idiosyncratic exposure", …"ranks near the top of the cohort","sits near the cohort median", …"High Systematic Exposure","Underperforming SMH", …
… STOP. That is editorial vocabulary. It belongs in BWMACRO, not here.
When this skill applies
- Any change to a snapshot renderer (
sdk/riskmodels/snapshots/*.py). - Any change to API route handlers under
app/api/that surface natural-language descriptions of risk. - Any change to MCP tools that return "interpreted" output.
- Any new feature that classifies a stock or portfolio into a state (driver = systematic / balanced / idiosyncratic, quality = strong / solid / muted, etc.).
The contract — public side (this repo)
The single public surface for interpretation in this repo is
sdk/riskmodels/interpretation.py.
It exports:
| Symbol | Purpose |
|---|---|
Judgment |
Frozen dataclass — the contract every consumer reads. Fields: version, as_of, ticker, features, text, states, flags. |
INTERPRETER_VERSION |
Schema version. Bumped when the public feature dictionary changes shape. |
compute_features(data) -> dict |
Pure numeric extraction from a DDData. No qualifiers, no thresholds. Both the bland stub and the BWMACRO engine consume this. |
derive_default_judgment(data) -> Judgment |
Bland public stub. text fields are raw numerics only ("AAPL — systematic 39%, residual +1.9%, peer rank 78") — no qualifiers, no editorial. |
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.
- 2mo ago First seen · 171 lines · 73 tokens per session scan A 68311b805936
risk-judgment-shape is a skill published in the GitHub repository BlueWaterCorp/RiskModels_API (0 stars, last pushed yesterday), licensed Apache-2.0. It adds 73 tokens to every session and 2,084 once invoked, about $0.0003 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 2026-08-31.
Other skills, from other repositories
sector-rotation
An analysis framework for comparing industries in the Chinese A-share stock market, using business conditions, price momentum, valuation, and money flows. It produces rankings and higher- or lower-allocation suggestions.
strategy-pivot-designer
Detect backtest iteration stagnation and generate structurally different strategy pivot proposals when parameter tuning reaches a local optimum.
twitter-reader
Read Twitter/X for financial research through opencli: the user's home timeline, tweet search, trending topics, bookmarks, a user's recent tweets, threads, articles, profiles, followers and following, and notifications. Use this skill whenever the user wants to know what people are saying on Twitter/X or fintwit about…
energy-procurement
Codified expertise for electricity and gas procurement, tariff optimization, demand charge management, renewable PPA evaluation, and multi-facility energy cost management. Informed by energy procurement managers with 15+ years experience at large commercial and industrial consumers. Includes market structure analysis…
airdrop-hunting-guide
Guide to finding and qualifying for crypto airdrops — eligibility criteria, farming strategies, on-chain activity requirements, Sybil detection avoidance, and tracking tools. Use when helping users understand airdrops, check eligibility, or plan participation strategies.
recipe-daily-pnl-report
Generate a daily profit and loss summary from trades and balances.