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llmquant-data

Name: llmquant-data
Author: llmquant

Revisão do conteúdo r1 Seguro ⚙️ Comandos externos

Route Evidence-Based Market Data Workflows

Financial research requests can become inconsistent when filing, ownership, and macro questions use different evidence standards. This skill routes each request to a focused workflow that uses dated LLMQuant Data and clearly separates retrieved facts from interpretation.

Suporta: Claude Codex Code(CC)

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

Testar

Usando "llmquant-data". Review the latest 10-K for ACME and focus on downside risks.

Resultado esperado:

A structured filing review with a bottom line, filing metadata, an evidence table, MD&A readthrough, monitoring checklist, and data-used section.

Usando "llmquant-data". Who are the largest reported 13F holders of XYZ?

Resultado esperado:

A holder summary with ranked managers, reported values, report periods, a crowding read, and explicit delayed-data and universe limitations.

Usando "llmquant-data". What is the current U.S. macro regime?

Resultado esperado:

A dated dashboard across inflation, labor, rates, growth, liquidity, and curve signals, followed by policy context, market readthrough, and watch items.

Auditoria de segurança

Seguro

v1 • 15/09/2026 Abrir o relatório versionado

All four static findings are false positives caused by backtick-wrapped Markdown links in SKILL.md, not shell execution. No semantic security findings were identified in the seven scanned files.

Arquivos analisados

369

Linhas analisadas

Itens de revisão

Falsos positivos ignorados

Fatores de risco

⚙️ Comandos externos (4)

SKILL.md:24 SKILL.md:25 SKILL.md:26 SKILL.md:27

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-data/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-data/security.svg)](https://skillstore.io/skills/llmquant-llmquant-data?utm_source=security_passport_badge)

Badge HTML

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

Cartão incorporável

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

Citação BibTeX

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

Review a Company Filing

Create a dated 10-K review covering business context, risk factors, MD&A trends, monitoring signals, and the data used.

Map Institutional Holders

Identify leading 13F managers for a ticker, assess reported concentration, and present the limits of the ownership data.

Frame the Macro Regime

Build a compact macro snapshot or market brief with dated indicators, policy context, asset implications, and risks to the view.

Teste estes prompts

Start a Filing Review

Review the latest 10-K for [ticker]. Cover the business, risk factors, MD&A, filing metadata, and three monitoring signals. Use only retrieved evidence.

Find Ticker Holders

For [ticker], identify the top 13F holders in the latest available universe. Include ranking period, period of report, position values, concentration, and scope caveats.

Build a Macro Snapshot

Create a U.S. macro regime snapshot for [date]. Cover inflation, labor, rates, curve, growth, and liquidity. Show each observation date and distinguish facts from interpretation.

Write a Market Brief

Compose a market-facing macro brief for [region], [horizon], and [assets]. Combine macro history, current indicators, prices, and relevant research. State the dominant regime, contradiction, asset implications, risks, and next data.

Boas práticas

Provide the ticker, region, time horizon, period, and desired deliverable.
Require observation dates, filing periods, coverage notices, and the exact data capabilities used.
Treat interpretations as separate from retrieved facts and state missing or unavailable inputs.

Evitar

Do not call delayed 13F data current ownership or infer short positions from missing filings.
Do not mix data frequencies or claim a regime change from one noisy observation without context.
Do not add outside facts, unsupported indicators, or policy forecasts as if they were retrieved evidence.