Informe de auditoría del skill
rankup Informe de auditoría.
网站从零到一与长期增长的总控 Skill。用于新建网站、SaaS、工具站或内容站,规划或初始化 TanStack Start Monorepo,使用 Cloudflare Workers、D1、R2 部署全栈应用,接入支付,执行 SEO、内容、外链、上线验证和持续迭代;也负责 Google Trends 查询、关键词难度(KD)估算与选词工作流;2026 AI 搜索范式(AI Overviews、AI Mode、Preferred Sources、Discover 独立算法、Information Gain、引用优先于排名);AI Agent 就绪度评分(is-agentic、agent readiness、llms.txt、MCP 可发现性、AI 代理优化)。用户提到 rankup、rankup init、rankup check、环节闸门、检查清单、checklist、"现在该做什么"、"到哪一步了"、"这个环节能不能过"、"本轮还差什么"、建站、网站改版、搜索流量、GSC、排名、关键词、CTR、索引、网站增长,或提到 谷歌趋势、Google Trends、搜索热度、热度对比、搜索趋势、trending、"XX 和 YY 哪个更火"、"今天美国/日本在搜什么"、每日热搜、"这个词能不能做站"、"哪个市场/国家有机会"、帮我选 SEO 关键词、选词、选品调研、市场探测、挖需求、找需求、需求挖掘、找方向、找选题、"最近有什么能做的"、"找几个关键词"、"挖个新词的工具站"、"看看有什么游戏站能做"、竞品调研、榜单调研、差评挖掘、反查谁在赚钱、关键词难度、KD、竞争度、SERP 分析、"这个词难不难做"、"做这个词要多少外链",或提到 哥飞、web.cafe、哥飞论坛、哥飞的朋友们、悬赏、悬赏问答、经验帖、"群里怎么说的"、"社群里有没有讲过"、"论坛里搜一下"、"哥飞说过什么"、哥飞.ai,或提到 AI 搜索优化、AI Overviews、AI Mode、被 AI 引用、AEO、GEO、Preferred Sources、Discover 优化、Google 算法更新、核心更新、spam 更新、Information Gain,或提到 AI Agent 就绪度、is-agentic、agent readiness、llms.txt、对 AI 代理友好、AI 代理优化
Trust Score de OpenAgentSkill
Trust Score de OpenAgentSkill
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
Adopción en GitHub
Info62
179 estrellas de GitHub
Actividad de stars/forks
Info62
179 estrellas y 79 forks; la actividad de issues no está disponible en los metadatos actuales
Mantenimiento reciente
Aprobado88
1 meses desde el último push
Claridad de licencia
Aprobado86
MIT
Completitud de README/SKILL.md
Info76
Los metadatos públicos necesitan más contexto de README/SKILL.md
Riesgo de dependencias/runtime
Info64
command execution surface, network or browser surface
Disponibilidad de instalación
Aprobado92
npx skills add yan-labs/yan-skills --skill rankup
Seguridad del comando de instalación
Aprobado92
Ruta estándar de paquete o instalación en tiempo de ejecución
Superficie de permisos
Fallido36
shell or command execution, filesystem or document access
Evidencia del repositorio
Aprobado86
https://github.com/yan-labs/yan-skills/tree/main/rankup
Estado de revisión
Info66
Hay datos de revisión por IA disponibles
Resultados comprobados por Agent
Info54
Aún no hay datos de resultados del Agent
Comprobaciones
Revisión de instalación y adopción
Ruta de instalación
92
npx skills add yan-labs/yan-skills --skill rankup
Repositorio
88
https://github.com/yan-labs/yan-skills/tree/main/rankup
Licencia
86
MIT
Mantenimiento
88
1 meses desde el último push
Revisión por IA
55
The SKILL.md is extremely long and dense, which may make it difficult for an agent to parse and follow in a single context window. The description field is also very verbose, potentially consuming excessive tokens.
Completitud de README/SKILL.md
84
Usable description available
Riesgo de dependencias
64
command execution surface, network or browser surface
Seguridad del comando de instalación
92
Ruta estándar de paquete o instalación en tiempo de ejecución
Superficie de permisos
36
shell or command execution, filesystem or document access
Actividad de stars/forks
62
179 estrellas y 79 forks; la actividad de issues no está disponible en los metadatos actuales
Adopción
68
179 estrellas de GitHub
Advertencias
- Permission surface may require sandboxing
- The SKILL.md is extremely long and dense, which may make it difficult for an agent to parse and follow in a single context window. The description field is also very verbose, potentially consuming excessive tokens.
- The skill relies on many external scripts and reference files (e.g., scripts/*.mjs, references/*.md) that are not fully visible in the excerpt. Ensure all dependencies are included and documented in the repository.
- The skill mentions 'OpenCLI' and browser automation, which may require specific environment setup. The SKILL.md does not clearly state prerequisites or fallback behavior if these tools are unavailable.
- Quality score needs review
- Permission surface needs review: shell or command execution, filesystem or document access
- Permission surface: shell or command execution, filesystem or document access
Método
This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.
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