Informe de auditoría del skill
linkedin-reply-handler Informe de auditoría.
Draft a reply to a specific existing LinkedIn comment from its URL. Use when the user wants to reply to a comment on any post, or follow up after an author replied to them. Parses the commentUrn, resolves the correct parentComment target (LinkedIn flattens threads to 2 levels), and posts via Publora on approval. Not for top-level comments (use linkedin-comment-drafter).
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
Info76
880 estrellas de GitHub
Actividad de stars/forks
Info71
880 estrellas y 140 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
Aprobado86
Los metadatos incluyen suficiente contexto de uso y flujo de trabajo
Riesgo de dependencias/runtime
Aprobado82
network or browser surface
Disponibilidad de instalación
Aprobado92
npx skills add sergebulaev/linkedin-skills --skill linkedin-reply-handler
Seguridad del comando de instalación
Aprobado92
Ruta estándar de paquete o instalación en tiempo de ejecución
Superficie de permisos
Info72
filesystem or document access, network or browser access
Evidencia del repositorio
Aprobado86
https://github.com/sergebulaev/linkedin-skills/tree/main/.codex-marketplace/linkedin-skills/skills/linkedin-reply-handler
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 sergebulaev/linkedin-skills --skill linkedin-reply-handler
Repositorio
88
https://github.com/sergebulaev/linkedin-skills/tree/main/.codex-marketplace/linkedin-skills/skills/linkedin-reply-handler
Licencia
86
MIT
Mantenimiento
88
1 meses desde el último push
Revisión por IA
55
Fetched LinkedIn comments and post text are treated as context, but SKILL.md does not explicitly warn the agent to treat them as untrusted data rather than instructions. A malicious comment could contain prompt-injection-style text.
Completitud de README/SKILL.md
86
Usable description available
Riesgo de dependencias
82
network or browser surface
Seguridad del comando de instalación
92
Ruta estándar de paquete o instalación en tiempo de ejecución
Superficie de permisos
72
filesystem or document access, network or browser access
Actividad de stars/forks
71
880 estrellas y 140 forks; la actividad de issues no está disponible en los metadatos actuales
Adopción
88
880 estrellas de GitHub
Advertencias
- Fetched LinkedIn comments and post text are treated as context, but SKILL.md does not explicitly warn the agent to treat them as untrusted data rather than instructions. A malicious comment could contain prompt-injection-style text.
- APIFY_TOKEN is referenced as an environment variable, but there is no setup/configuration section explaining required env vars, permission scope, or what the Publora wrapper does with credentials.
- Quality score needs review
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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