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llmquant-macro

Name: llmquant-macro
Author: llmquant

Révision du contenu r1 Sûr ⚙️ Commandes externes

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.

Prend en charge: Claude Codex Code(CC)

🥉 78 Bronze

Maintain this Skill? Claim it 🥉 78 Bronze

Installer avec mon Agent

Copiez cette demande dans votre Agent. Elle contient la page Skill de référence et le manifeste.

Demande d’agent

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.

Votre Agent doit toujours présenter son plan et demander toute confirmation exigée par la politique de sécurité.

Ressources lisibles par les agents

Utilisez ces liens lorsqu’un Agent IA, un crawler ou un script a besoin d’un contexte propre au lieu de lire toute la page.

Détail Markdown GET /skills/llmquant-llmquant-macro.md manifest signé GET /api/skills/llmquant-llmquant-macro/manifest lockfile signé GET /api/skills/llmquant-llmquant-macro/lockfile

Tester

Utilisation de « llmquant-macro ». Assess the United States macro regime for the next six months.

Résultat attendu:

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

Utilisation de « llmquant-macro ». Preview the next Federal Reserve decision and explain market risks.

Résultat attendu:

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

Utilisation de « llmquant-macro ». Show how slower growth and persistent inflation could affect my ETF portfolio.

Résultat attendu:

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

Audit de sécurité

Sûr

v1 • 15/09/2026 Ouvrir le rapport versionné

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.

Fichiers analysés

172

Lignes analysées

Éléments à examiner

Faux positifs ignorés

Facteurs de risque

⚙️ Commandes externes (3)

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

Le dernier audit statique et sémantique terminé n’a détecté aucun constat de sécurité confirmé. Cela ne prouve pas que le skill est sans effets secondaires.

Audité par: codex

Partager et citer ce rapport

Partagez le rapport d’évaluation versionné, le badge neutre, la carte intégrable et les citations. Skillstore présente les preuves sans décider si ce Skill est sûr.

Ouvrir le rapport versionné

Copier le lien du rapport

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>

Carte intégrable

<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>

Citations académiques (APA · BibTeX · CFF)

Citation APA

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

Citation 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"

Score Skillstore

Pourquoi ce score Niveau de confiance des preuves: Moyen

Architecture

Maintenabilité

Contenu

Communauté

Conformité aux spécifications

Ce que vous pouvez créer

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.

Essayez ces 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.

Bonnes pratiques

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.

Éviter

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.