LLMQuant Risk

SkillMedia

Router skill for LLMQuant risk workflows. Use when the user needs fear scoring, VIX regime, hedge design, or research health checks.

Available today. Use it from your connected AI after setup.

No other account needed.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the LLMQuant Risk skill

What this skill tells your AI

The instructions your AI receives, as published by llmquant/skills in skills/llmquant-risk/SKILL.md and read by ahel’s review.

This category routes risk regime, hedging, panic scoring, and research-quality workflows.

Identify the asset, portfolio, risk horizon, drawdown tolerance, and required decision.
Select the closest workflow below.
Open only the selected workflow.
Use LLMQuant Data for prices, volatility, options, macro, portfolio positions, alerts, profiles, and watchlists.
Report timestamps, data windows, stale notices, assumptions, and missing inputs.

User intent	Workflow
Build a per-ticker panic score.	`workflows/fear-score.md`
Translate VIX into an options-risk regime.	`workflows/vix-status.md`
Design protective puts, collars, and put-spread hedges.	`workflows/hedge-advisor.md`
Audit stale profiles, thesis drift, orphan themes, and outdated evidence.	`workflows/research-health-check.md`

Prefer LLMQuant Data when available. The workflows may need these data capabilities:

Retrieve price history, volatility, drawdowns, correlations, market regime, VIX context, and macro risk indicators.
Retrieve option chains, implied volatility history, Greeks, hedge candidates, and liquidity context.
Retrieve portfolio positions, watchlists, alerts, research profiles, thesis records, and stale evidence.
Measure hedge cost, risk reduction, concentration, and unresolved data gaps.

Fallback:

If portfolio or option data is unavailable, name the missing input and produce a data-limited risk note.

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