Habilidades llmquant-market-intelligence

📦

llmquant-market-intelligence

Name: llmquant-market-intelligence
Author: llmquant

Revisão do conteúdo r1 Seguro ⚙️ Comandos externos

Analyze Markets With LLMQuant Data

Market research can become fragmented across macro indicators, sentiment measures, and event markets. This skill routes each question to a focused workflow with dates, data windows, caveats, and portfolio context.

Suporta: Claude Codex Code(CC)

🥉 78 Bronze

Instalar com meu Agente

Copie esta solicitação para o seu Agente. Ela inclui a página canônica do Skill e o manifesto.

Solicitação do agente

Review the Skillstore skill "llmquant-market-intelligence" from https://skillstore.io/skills/llmquant-llmquant-market-intelligence.md and its manifest at https://skillstore.io/api/skills/llmquant-llmquant-market-intelligence/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.

Seu Agente ainda deve apresentar o plano e solicitar qualquer confirmação exigida pela política de segurança.

Recursos legíveis por agentes

Use estes links quando um agente de IA, crawler ou script precisar de contexto limpo em vez de ler a página completa.

Detalhe em Markdown GET /skills/llmquant-llmquant-market-intelligence.md manifest assinado GET /api/skills/llmquant-llmquant-market-intelligence/manifest lockfile assinado GET /api/skills/llmquant-llmquant-market-intelligence/lockfile

Testar

Usando "llmquant-market-intelligence". Summarize current macro conditions for a diversified equity portfolio.

Resultado esperado:

Macro dashboard: rates are tightening, growth data is mixed, and credit is stable. Portfolio impact: duration-sensitive equities face pressure. Data dates and missing observations are listed.

Usando "llmquant-market-intelligence". Classify market sentiment using volatility, breadth, and sector rotation.

Resultado esperado:

Regime call: mixed, with medium confidence.
Volatility signals caution, while breadth remains supportive.
Sector leadership favors defensive groups.
The indicators disagree, so position sizing should remain measured.

Usando "llmquant-market-intelligence". Compare a prediction-market probability with an options-implied probability.

Resultado esperado:

Probability gap: the prediction market assigns a higher event probability than options. The difference may reflect liquidity, settlement terms, timing, or basis risk. No trade is proposed until those factors are verified.

Auditoria de segurança

Seguro

v1 • 15/09/2026 Abrir o relatório versionado

All three static findings are false positives. The flagged backticks are Markdown link syntax on SKILL.md lines 24-26, and no shell execution is evidenced.

Arquivos analisados

185

Linhas analisadas

Itens de revisão

Falsos positivos ignorados

Fatores de risco

⚙️ Comandos externos (3)

SKILL.md:24 SKILL.md:25 SKILL.md:26

A auditoria estática e semântica concluída mais recente não detectou achados de segurança confirmados. Isso não comprova que a skill não tenha efeitos colaterais.

Auditado por: codex

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https://skillstore.io/skills/llmquant-llmquant-market-intelligence/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report

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Cartão incorporável

<iframe src="https://skillstore.io/embed/skills/llmquant-llmquant-market-intelligence.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>

Citações acadêmicas (APA · BibTeX · CFF)

Citação APA

llmquant. (2026). llmquant-market-intelligence security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/llmquant-llmquant-market-intelligence/audits/1

Citação BibTeX

@techreport{llmquant-llmquant-llmquant-market-intelligence-2026,
  author = {llmquant},
  title = {llmquant-market-intelligence security audit report (audit version 1)},
  institution = {Skillstore},
  year = {2026},
  number = {1},
  url = {https://skillstore.io/skills/llmquant-llmquant-market-intelligence/audits/1},
  note = {Author version unspecified}
}

CITATION.cff

cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "llmquant-market-intelligence security audit report (audit version 1)"
version: "unspecified"
type: report
authors:
  - name: "llmquant"
date-released: "2026-09-15"
url: "https://skillstore.io/skills/llmquant-llmquant-market-intelligence/audits/1"
identifiers:
  - type: other
    value: "skillstore:llmquant-llmquant-market-intelligence:audit:1"
    description: "Skillstore immutable audit report identifier"

Pontuação do Skillstore

Por que esta pontuação Confiança das evidências: Médio

Arquitetura

Manutenibilidade

Conteúdo

Comunidade

Conformidade com a especificação

O que você pode criar

Monitor Macro Conditions

Build a dated dashboard for rates, inflation, liquidity, credit, commodities, currencies, and major risk assets.

Classify Market Sentiment

Combine volatility, breadth, positioning, sector rotation, and price history into a transparent regime assessment.

Compare Event Probabilities

Evaluate prediction-market odds against options-implied probabilities, liquidity, timing, and basis risk.

Teste estes prompts

Get a Market Snapshot

Summarize current macro conditions across rates, inflation, liquidity, credit, commodities, currencies, and major risk assets. Include dates and data sources.

Build a Macro Dashboard

Create a macro dashboard for my watchlist. Show latest value, prior value, historical percentile, observation date, regime interpretation, and the next data to watch.

Assess Market Regime

Classify the market as risk-on, risk-off, neutral, or mixed using sentiment, volatility, breadth, positioning, sector rotation, and price history. Show disagreements and confidence.

Test an Event Probability Gap

Compare the probability of [event] by [date] across prediction markets, options, macro data, and related assets. Check settlement criteria, liquidity, timing, fees, and basis risk before suggesting expressions.

Boas práticas

State observation dates, lookback periods, data windows, and stale-data notices.
Separate observed measurements from interpretation, forecasts, and possible trade expressions.
Verify event definitions, settlement criteria, liquidity, fees, timing, and basis risk.

Evitar

Do not infer market sentiment from price action alone when breadth or positioning is missing.
Do not call an arbitrage opportunity when event windows or settlement criteria differ.
Do not present portfolio recommendations as certain outcomes or omit conflicting indicators.