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llmquant-macro

Name: llmquant-macro
Author: llmquant

Revisão do conteúdo r1 Seguro ⚙️ Comandos externos

Build Evidence-Based Macro Research

Macro research often mixes indicators, market pricing, and portfolio exposures without consistent dates or assumptions. This skill structures the analysis through focused LLMQuant workflows.

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-macro" from https://skillstore.io/skills/llmquant-llmquant-macro.md and its manifest at https://skillstore.io/api/skills/llmquant-llmquant-macro/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-macro.md manifest assinado GET /api/skills/llmquant-llmquant-macro/manifest lockfile assinado GET /api/skills/llmquant-llmquant-macro/lockfile

Testar

Usando "llmquant-macro". Assess the United States macro regime for the next six months.

Resultado esperado:

A dated regime summary with indicator trends, cross-asset confirmation, alternate cases, key risks, upcoming releases, and a complete data inventory.

Usando "llmquant-macro". Preview the next Federal Reserve decision and explain market risks.

Resultado esperado:

A policy base case covering inflation, labor, growth, market pricing, risk scenarios, asset implications, and evidence that could change the view.

Usando "llmquant-macro". Show how slower growth and persistent inflation could affect my ETF portfolio.

Resultado esperado:

An exposure map linking ETF holdings to macro sensitivities, scenario winners and losers, concentration risks, possible offsets, and monitoring thresholds.

Auditoria de segurança

Seguro

v1 • 15/09/2026 Abrir o relatório versionado

All four static alerts are false positives caused by Markdown syntax or ordinary fallback prose in SKILL.md. No command execution, system reconnaissance, prompt injection, or other semantic security risk was found.

Arquivos analisados

172

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

Compartilhar e citar este relatório

Compartilhe o relatório de avaliação versionado, o badge neutro, o cartão incorporável e as citações. A Skillstore apresenta evidências sem decidir se este Skill é seguro.

Abrir o relatório versionado

Copiar link do relatório

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

Badge Markdown

[![Skillstore security assessment](https://skillstore.io/badges/skills/llmquant-llmquant-macro/security.svg)](https://skillstore.io/skills/llmquant-llmquant-macro?utm_source=security_passport_badge)

Badge HTML

<a href="https://skillstore.io/skills/llmquant-llmquant-macro?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/llmquant-llmquant-macro/security.svg" alt="Skillstore security assessment" loading="lazy"></a>

Cartão incorporável

<iframe src="https://skillstore.io/embed/skills/llmquant-llmquant-macro.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-macro security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/llmquant-llmquant-macro/audits/1

Citação BibTeX

@techreport{llmquant-llmquant-llmquant-macro-2026,
  author = {llmquant},
  title = {llmquant-macro security audit report (audit version 1)},
  institution = {Skillstore},
  year = {2026},
  number = {1},
  url = {https://skillstore.io/skills/llmquant-llmquant-macro/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-macro 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-macro/audits/1"
identifiers:
  - type: other
    value: "skillstore:llmquant-llmquant-macro: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

Create a Macro Regime Dashboard

Combine growth, inflation, labor, liquidity, and cross-asset signals into a dated regime assessment.

Prepare a Policy Meeting Preview

Assess the policy backdrop, expected decision, guidance risks, and possible asset reactions before a central-bank meeting.

Map Macro Risks to a Portfolio

Connect holdings, factors, sectors, currencies, and ETFs with macro sensitivities, scenarios, hedges, and monitoring thresholds.

Teste estes prompts

Summarize the Current Regime

Build a macro regime dashboard for [geography] over [horizon]. Include growth, inflation, labor, liquidity, market confirmation, dates, and missing inputs.

Preview a Central-Bank Decision

Prepare a preview for the [central bank] meeting on [date]. Compare incoming data, market expectations, risk cases, and cross-asset implications.

Assess Portfolio Macro Exposure

Analyze this [portfolio or watchlist] under [macro scenario]. Map rates, inflation, currency, oil, credit, growth, volatility, and concentration risks.

Build a Scenario Decision Framework

Compare [base case] with [alternate cases] for [market universe]. Define probabilities, evidence thresholds, asset impacts, hedges, and releases that change each view.

Boas práticas

Provide geography, horizon, asset universe, and the required deliverable.
Include holdings, weights, benchmarks, and dates for portfolio analysis.
Review observation dates, revisions, frequencies, stale notices, and missing inputs before using conclusions.

Evitar

Do not combine data frequencies without labeling their differences.
Do not request precise portfolio impacts without holdings, weights, or a stated proxy.
Do not treat forecasts, policy paths, or market reactions as certain.