llmquant-risk
Router skill for LLMQuant risk workflows. Use when the user needs fear scoring, VIX regime, hedge design, or research health checks.
npx skills add LLMQuant/skills --skill llmquant-risk --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# LLMQuant Risk This category routes risk regime, hedging, panic scoring, and research-quality workflows. ## Routing Rules 1. Identify the asset, portfolio, risk horizon, drawdown tolerance, and required decision. 2. Select the closest workflow below. 3. Open only the selected workflow. 4. Use LLMQuant Data for prices, volatility, options, macro, portfolio positions, alerts, profiles, and watchlists. 5. Report timestamps, data windows, stale notices, assumptions, and missing inputs. ## Workflow Index | User intent | Workflow | |---|---| | Build a per-ticker panic score. | [`workflows/fear-score.md`](workflows/fear-score.md) | | Translate VIX into an options-risk regime. | [`workflows/vix-status.md`](workflows/vix-status.md) | | Design protective puts, collars, and put-spread hedges. | [`workflows/hedge-advisor.md`](workflows/hedge-advisor.md) | | Audit stale profiles, thesis drift, orphan themes, and outdated evidence. | [`workflows/research-health-check.md`](workflows/research-health-check.md) | ## LLMQuant Data Contract Prefer LLMQuant Data when available. The workflows may need these data capabilities: - Retrieve price history, volatility, drawdowns, correlations, market regime,
- Routing Rules
- Workflow Index
- LLMQuant Data Contract
What does the llmquant-risk skill do?
Router skill for LLMQuant risk workflows. Use when the user needs fear scoring, VIX regime, hedge design, or research health checks.
How do I install it?
Run `npx skills add LLMQuant/skills --skill llmquant-risk --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From LLMQuant/skills, a repository with 183 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.