by joeseesun · AI Tool · ★ 458
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
npx skills add joeseesun/qiaomu-seo
npx skills add joeseesun/qiaomu-seo --listTaken from the project's README on GitHub. Check the security audit before running it.
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.
| Stars | 458 |
| Forks | 60 |
| Language | Python |
| Category | AI Tool |
| License | MIT |
| Quality Score | 60/100 |
| Last Updated | 2026-08-03 |
| Created | 2026-08-03 |
| Platforms | browser, python |
| Est. Tokens | ~14k |
qiaomu-seo 用于 Google、Bing 与 AI Search 的专业 SEO Agent Skill：技术 SEO 审计、关键词—页面策略、自然流量诊断、站点迁移、代码修复与效果验证。 不是检查 title 字符数、H1 数量和关键词密度的打分器。它按照真实的搜索链路工作： 爬虫访问与 URL 发现 → 抓取与 JavaScript 渲染 → 可索引性（indexability）→ canonical / hreflang → 页面相关性与搜索意图 → 内链与信息架构 → 搜索表现测量。 它解决哪些 SEO 问题 页面不收录或收录异常：检查 robots、状态码、渲染、索引指令、canonical、sitemap、内链发现与 Search Console 证据，定位阻塞发生在哪一层。...
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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: