nex-brand-palette-lite
Extract Brand Colors from CSS Variables
Finding brand colors manually in website CSS takes time. This guide helps an AI agent generate reusable Python extraction scripts focused on brand CSS variables.
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。
Review the Skillstore skill "nex-brand-palette-lite" from https://skillstore.io/skills/nexaiguy-nex-brand-palette-lite.md and its manifest at https://skillstore.io/api/skills/nexaiguy-nex-brand-palette-lite/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。
テストする
「nex-brand-palette-lite」を使用しています。 Summarize candidate colors when supplied CSS defines --primary as #1258A8 and --accent as #F2C94C.
期待される結果:
- Primary candidate: --primary, #1258A8.
- Accent candidate: --accent, #F2C94C.
- These values come from the supplied CSS, not a live website scan.
「nex-brand-palette-lite」を使用しています。 Explain the result when the retrieved CSS contains no matching brand variables.
期待される結果:
- No matching primary, accent, or brand CSS variables were found in the retrieved content.
- This does not establish that the website has no brand colors.
- JavaScript colors, images, and computed styles are outside the documented scope.
セキュリティ監査
安全All four static findings are false positives involving attribution links, an example URL, and a misclassified creator link. No evidence found of reconnaissance, credential collection, exfiltration, or audit manipulation in SKILL.md. The package contains guidance only; generated extraction scripts require separate review.
リスク要因
🌐 ネットワークアクセス (3)
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。
レポートリンクをコピー
https://skillstore.io/skills/nexaiguy-nex-brand-palette-lite/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportMarkdownバッジ
[](https://skillstore.io/skills/nexaiguy-nex-brand-palette-lite?utm_source=security_passport_badge)HTMLバッジ
<a href="https://skillstore.io/skills/nexaiguy-nex-brand-palette-lite?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/nexaiguy-nex-brand-palette-lite/security.svg" alt="Skillstore security assessment" loading="lazy"></a>埋め込みカード
<iframe src="https://skillstore.io/embed/skills/nexaiguy-nex-brand-palette-lite.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
nexaiguy. (2026). nex-brand-palette-lite security audit report (audit version 1) [Author version 1.0]. Skillstore. https://skillstore.io/skills/nexaiguy-nex-brand-palette-lite/audits/1BibTeX形式の引用
@techreport{nexaiguy-nexaiguy-nex-brand-palette-lite-2026,
author = {nexaiguy},
title = {nex-brand-palette-lite security audit report (audit version 1)},
institution = {Skillstore},
year = {2026},
number = {1},
url = {https://skillstore.io/skills/nexaiguy-nex-brand-palette-lite/audits/1},
note = {Author version 1.0}
}CITATION.cff
cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "nex-brand-palette-lite security audit report (audit version 1)"
version: "1.0"
type: report
authors:
- name: "nexaiguy"
date-released: "2026-11-02"
url: "https://skillstore.io/skills/nexaiguy-nex-brand-palette-lite/audits/1"
identifiers:
- type: other
value: "skillstore:nexaiguy-nex-brand-palette-lite: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: 中作成できるもの
Prepare a Client Palette
Generate an extraction script to collect candidate brand tokens from a public client website for a proposal.
Bootstrap Interface Theme Tokens
Use primary and accent CSS variables from an existing public site as references for a new interface theme.
Review Landing Page Colors
Compare extracted CSS variable values across public landing pages to identify possible brand color inconsistencies.
これらのプロンプトを試す
Generate a Python script to extract primary, accent, and brand color hex values from CSS variables at [public URL].
Generate a standard-library Python script for [public URL]. Filter CSS variables for primary, accent, and brand names, retaining each variable name.
Generate a reusable Python extraction script for [URL A] and [URL B]. Compare matching brand CSS variable names and report differing hex values.
Generate a standard-library Python extractor for [public URL]. Include request timeouts, explicit failures, duplicate handling, and source labels. State unsupported CSS cases.
ベストプラクティス
- Use public websites you are authorized to inspect and review generated scripts before execution.
- Keep CSS variable names alongside hex values so designers can verify intended color roles.
- Check extracted values against the source CSS and document unsupported or missing content.
回避
- Assuming the package already includes a working Python extractor.
- Treating every matching variable as an authoritative brand color without verification.
- Expecting CSS variable extraction to recover colors from logos, JavaScript, or login-protected pages.