OpenAgentSkill
GitHub200+

Informe de auditoría del skill

audience-research Informe de auditoría.

Use when the user wants to evaluate a creator, influencer, or brand audience using public profile signals, TikTok audience demographics, follower/following data, comments, geography, language, and content fit. Helps judge sponsorship and market fit.

Bloqueado · BloquearRequiere revisiónGenerado 11 oct 2026Auditoría heurística de metadatos
77
Auditoría
67
Confianza
77
Calidad
74
Seguridad
88
Maintain
92
Instalar

Trust Score de OpenAgentSkill

67
Revisión manual

Trust Score de OpenAgentSkill

The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.

Adopción en GitHub

Aprobado

86

2.2K estrellas de GitHub

Actividad de stars/forks

Info

72

2.2K estrellas y 22 forks; la actividad de issues no está disponible en los metadatos actuales

Mantenimiento reciente

Aprobado

88

2 meses desde el último push

Claridad de licencia

Aprobado

86

MIT

Completitud de README/SKILL.md

Info

76

Los metadatos públicos necesitan más contexto de README/SKILL.md

Riesgo de dependencias/runtime

Advertencia

54

command execution surface, credential or environment access

Disponibilidad de instalación

Aprobado

92

npx skills add ScrapeCreators/social-media-research-skills --skill audience-research

Seguridad del comando de instalación

Aprobado

92

Ruta estándar de paquete o instalación en tiempo de ejecución

Superficie de permisos

Fallido

36

secrets or environment access, shell or command execution

Evidencia del repositorio

Aprobado

86

https://github.com/ScrapeCreators/social-media-research-skills/tree/main/skills/audience-research

Estado de revisión

Info

66

Hay datos de revisión por IA disponibles

Resultados comprobados por Agent

Info

54

Aún no hay datos de resultados del Agent

Comprobaciones

Revisión de instalación y adopción

7 Aprobado · 17 Requiere revisión

Ruta de instalación

92

Aprobado

npx skills add ScrapeCreators/social-media-research-skills --skill audience-research

Repositorio

88

Aprobado

https://github.com/ScrapeCreators/social-media-research-skills/tree/main/skills/audience-research

Licencia

86

Aprobado

MIT

Mantenimiento

88

Aprobado

2 meses desde el último push

Revisión por IA

55

Revisar

SKILL.md is documentation-only; no executable scripts or code examples are provided, which may limit immediate usability.

Completitud de README/SKILL.md

84

Aprobado

Usable description available

Riesgo de dependencias

54

Corregir

command execution surface, credential or environment access

Seguridad del comando de instalación

92

Aprobado

Ruta estándar de paquete o instalación en tiempo de ejecución

Superficie de permisos

36

Corregir

secrets or environment access, shell or command execution

Actividad de stars/forks

72

Revisar

2.2K estrellas y 22 forks; la actividad de issues no está disponible en los metadatos actuales

Adopción

88

Aprobado

2.2K estrellas de GitHub

Financial decision safety

58

Revisar

Research-only use: do not treat output as financial advice or execute a position without human approval.

Advertencias

  • Dependency or permission surface needs review
  • Permission surface may require sandboxing
  • Financial research output is not financial advice; require human review before any live investment decision
  • SKILL.md is documentation-only; no executable scripts or code examples are provided, which may limit immediate usability.
  • Setup instructions are missing: how to obtain and configure the SCRAPECREATORS_API_KEY, and any required dependencies or environment setup.
  • The skill relies on external API endpoints (e.g., /v1/tiktok/user/audience) but does not specify authentication method, request format, or error handling.
  • No explicit limitations or rate-limit considerations are mentioned for the external API.
  • Financial research output is not financial advice; require human review before any live investment decision.
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution
  • Dependency/runtime risk: command execution surface, credential or environment access
  • Permission surface: secrets or environment access, shell or command execution

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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