Informe de auditoría del skill
wiki-knowledge-agent Informe de auditoría.
Turn chat-pasted text/links into a verified, translated, searchable wiki knowledge base. When a user pastes a link or text (in ANY channel — Discord, Slack, CLI, etc.), fetch+verify it, classify it (useful vs ad), translate+summarize it into the target language, save it to the wiki, and optionally alert on time-sensitive information. Also acts as a RAG channel: agents search the wiki for prior knowledge. Use whenever the user pastes content for archiving, asks to save a link/bookmark, asks '알림 있어?', 'any alerts?', or asks the agent to look up knowledge saved in the wiki.
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
Fallido30
19 estrellas de GitHub
Actividad de stars/forks
Fallido32
19 estrellas y 6 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
Advertencia46
command execution surface, credential or environment access
Disponibilidad de instalación
Aprobado92
npx skills add atukunare/wiki-knowledge-agent --skill wiki-knowledge-agent
Seguridad del comando de instalación
Aprobado92
Ruta estándar de paquete o instalación en tiempo de ejecución
Superficie de permisos
Fallido22
secrets or environment access, shell or command execution
Evidencia del repositorio
Aprobado86
https://github.com/atukunare/wiki-knowledge-agent/blob/main/SKILL.md
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 atukunare/wiki-knowledge-agent --skill wiki-knowledge-agent
Repositorio
88
https://github.com/atukunare/wiki-knowledge-agent/blob/main/SKILL.md
Licencia
86
MIT
Mantenimiento
88
1 meses desde el último push
Revisión por IA
55
SKILL.md does not explicitly address prompt-injection risks from pasted or fetched content, even though the skill allows the LLM to classify, summarize, and optionally update config.
Completitud de README/SKILL.md
86
Usable description available
Riesgo de dependencias
46
command execution surface, credential or environment access
Seguridad del comando de instalación
92
Ruta estándar de paquete o instalación en tiempo de ejecución
Superficie de permisos
22
secrets or environment access, shell or command execution
Actividad de stars/forks
32
19 estrellas y 6 forks; la actividad de issues no está disponible en los metadatos actuales
Adopción
42
19 estrellas de GitHub
Advertencias
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- SKILL.md does not explicitly address prompt-injection risks from pasted or fetched content, even though the skill allows the LLM to classify, summarize, and optionally update config.
- The skill instructs fetching user-supplied URLs but does not define safe URL boundaries, such as blocking private/internal IP ranges or stripping credentials from URLs.
- The excerpted skill directory does not clearly include referenced scripts (scripts/ingest.py, scripts/onboarding.py) and reference files; confirm they are present in the repository or the SKILL.md pointers will be broken.
- SKILL.md lacks a dedicated limitations/safety section describing what the skill will not do, such as refusing instructions embedded in saved content or requiring confirmation before sending notifications.
- Low GitHub adoption signal
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- GitHub adoption: 19 GitHub stars
- Stars/forks activity: 19 stars, 6 forks; issue activity unavailable in current metadata
- Dependency/runtime risk: command execution surface, credential or environment 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.