スキル llmquant-portfolio

📦

llmquant-portfolio

Name: llmquant-portfolio
Author: llmquant

コンテンツリビジョン r1 安全 ⚙️ 外部コマンド

Manage LLMQuant Portfolio Research

Portfolio research can become fragmented across profiles, theses, themes, watchlists, and alerts. This skill routes each request into a structured workflow powered by LLMQuant Data.

対応: Claude Codex Code(CC)

🥉 78 ブロンズ

自分のエージェントでインストール

このリクエストをエージェントにコピーしてください。正規の Skill ページとマニフェストが含まれています。

エージェントリクエスト

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

エージェントは引き続き計画を提示し、セキュリティポリシーで必要な確認を求める必要があります。

エージェントが読めるリソース

AI エージェント、クローラー、スクリプトがページ全体ではなく整理されたコンテキストを必要とする場合は、これらのリンクを使ってください。

Markdown詳細 GET /skills/llmquant-llmquant-portfolio.md 署名済み manifest GET /api/skills/llmquant-llmquant-portfolio/manifest 署名済み lockfile GET /api/skills/llmquant-llmquant-portfolio/lockfile

テストする

「llmquant-portfolio」を使用しています。 Refresh the profile for ACME and show the latest risks.

期待される結果:

Profile Summary: ACME, technology sector, latest market snapshot and refresh date. Red Flags: elevated leverage, dated filing evidence, and unresolved event data. Valuation Band: partial historical comparison because coverage is incomplete.

「llmquant-portfolio」を使用しています。 Track my thesis for ACME with a 25 percent price decline as a sell condition.

期待される結果:

Thesis Status: active.
Sell Condition: sell if price declines 25 percent from the selected reference price.
Current Check: unknown until current market data and the reference price are available.

「llmquant-portfolio」を使用しています。 Monitor my AI infrastructure theme and highlight urgent changes.

期待される結果:

Theme Snapshot: tracked tickers, keywords, update date, and concentration. Priority Alerts: dated event matches, largest movers, valuation outliers, stale tickers, and overlapping exposure.

セキュリティ監査

安全

v1 • 2026/9/15 バージョン別レポートを開く

All five static findings are false positives caused by Markdown link syntax in SKILL.md. No executable shell behavior or additional prompt-injection evidence was found in the scanned files.

スキャンされたファイル

300

解析済み行数

レビュー項目

誤検知を無視

リスク要因

⚙️ 外部コマンド (5)

SKILL.md:24 SKILL.md:25 SKILL.md:26 SKILL.md:27 SKILL.md:28

最新の完了済み静的・セマンティック監査では、確認済みのセキュリティ検出事項は見つかりませんでした。これは、スキルに副作用がないことを証明するものではありません。

監査者: codex

このレポートを共有・引用

バージョン付き評価レポート、中立的なバッジ、埋め込みカード、引用を共有できます。Skillstore は証拠を報告しますが、この Skill が安全かどうかは判断しません。

バージョン別レポートを開く

レポートリンクをコピー

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

Markdownバッジ

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

HTMLバッジ

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

埋め込みカード

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

学術引用 (APA · BibTeX · CFF)

APA形式の引用

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

BibTeX形式の引用

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

Skillstore スコア

このスコアの理由証拠の信頼度: 中

アーキテクチャ

保守性

コンテンツ

コミュニティ

仕様準拠

作成できるもの

Maintain Research Profiles

Refresh company profiles with current fundamentals, valuation context, filings, events, red flags, and missing-data notices.

Monitor Investment Theses

Turn a position thesis into explicit buy logic, sell conditions, evidence checks, status updates, and action history.

Track Themes and Watchlists

Organize thematic baskets and watchlists, then surface performance changes, event signals, volatility extremes, and priority alerts.

これらのプロンプトを試す

Create a Company Profile

Create a research profile for [ticker]. Retrieve current company data and filings, summarize fundamentals, valuation, events, red flags, and data gaps.

Structure an Investment Thesis

Turn this investment thesis for [ticker] into monitored buy logic and explicit sell conditions. Check current evidence and mark unknown conditions clearly.

Research a Market Theme

Build a provisional [theme] basket using these tickers and keywords: [inputs]. Compare performance, valuation, quality, concentration, and recent dated events.

Configure a Priority Alert

Create a measurable alert for [symbol] when [metric] [operator] [threshold], with [cadence] recurrence and [expiration]. Validate the current value first.

ベストプラクティス

Name the portfolio object clearly, such as a company profile, thesis, theme, watchlist, or alert.
Provide tickers, thresholds, reference dates, and desired actions when requesting monitoring.
Review evidence dates, stale notices, missing data, and unknown trigger states before acting.

回避

Do not request profile facts without an available LLMQuant Data source.
Do not use vague alerts without a measurable metric, operator, threshold, cadence, and expiration.
Do not treat watchlist notifications or theme summaries as automatic trade recommendations.