GEO-Content-Optimizer-Skill: GEO是面向 AI 搜索引擎的内容优化方法论。就像 SEO 优化 Google 排名,GEO 优化你的内容在 ChatGPT、Perplexity

by liangdabiao · Claude Skill · ★ 125

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Security audit verdict: SAFE · quality 62/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

Quick Facts

Stars125
Forks24
LanguagePython
CategoryClaude Skill
Quality Score62/100
Open Issues1
Last Updated2026-08-05
Created2026-05-10
Platformsclaude-code, gemini, python
Est. Tokens~9k

About GEO-Content-Optimizer-Skill

GEO Toolkit for Claude Code AI 搜索优化技能包 — 让你的品牌内容被 ChatGPT、Perplexity、Gemini 引用 这是什么 GEO(Generative Engine Optimization)是面向 AI 搜索引擎的内容优化方法论。就像 SEO 优化 Google 排名,GEO 优化你的内容在 ChatGPT、Perplexity、Gemini、Google AI Overview 等 AI 引擎中的引用率。 本项目提供两个 Claude Code Skill,覆盖 GEO 全流程: 为什么需要 GEO BrightEdge 分析了 100 万条 AI 回答:68% 的引用来自高权威站点,43% 来自带 Schema 标记的 FAQ McKinsey 预测到 2026 年 40% 的搜索将通过 AI 完成 不做 GEO,等于在 AI...

Compatible Skills

These tools work well together with GEO-Content-Optimizer-Skill for enhanced workflows:

  • seo-agi — semantic(0.35)+complementary+same_lang+similar_pop+shared_platform (62%)
  • seobuild-onpage — semantic(0.34)+complementary+same_lang+similar_pop+shared_platform (62%)
  • digital-marketing-pro — semantic(0.22)+complementary+same_lang+similar_pop+shared_platform (58%)
  • codex-seo — semantic(0.34)+complementary+same_lang+similar_pop+shared_platform (57%)

GEO-Content-Optimizer-Skill alternative? Top 2 similar tools

Looking for a GEO-Content-Optimizer-Skill alternative? If you're comparing GEO-Content-Optimizer-Skill with other claude skill tools, these 2 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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