Informe de auditoría del skill

kimi-datasource Informe de auditoría.

Universal data-source assistant. Use this skill when the user wants external structured data such as stocks, financial reports, technical indicators, A-share/HK/US markets, global macroeconomics, Chinese enterprise registry information, arXiv papers, Google Scholar results, or Chinese laws/regulations and judicial cases. This plugin exposes tools via MCP server `plugin-kimi-datasource_data`; call them in the flow `mcp__plugin-kimi-datasource_data__get_data_source_desc` → `mcp__plugin-kimi-datasource_data__call_data_source_tool`.

Bloqueado · BloquearRequiere revisiónGenerado 12 oct 2026Auditoría heurística de metadatos
67
Auditoría
58
Confianza
55
Calidad
69
Seguridad
88
Maintain
92
Instalar

Trust Score de OpenAgentSkill

58
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

Fallido

30

13 estrellas de GitHub

Actividad de stars/forks

Fallido

32

13 estrellas y 0 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

46

command execution surface, credential or environment access

Disponibilidad de instalación

Aprobado

92

npx skills add wangyuahn/nori-code --skill kimi-datasource

Seguridad del comando de instalación

Aprobado

92

Ruta estándar de paquete o instalación en tiempo de ejecución

Superficie de permisos

Fallido

18

secrets or environment access, shell or command execution

Evidencia del repositorio

Aprobado

86

https://github.com/wangyuahn/nori-code/tree/master/plugins/official/kimi-datasource

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

6 Aprobado · 18 Requiere revisión

Ruta de instalación

92

Aprobado

npx skills add wangyuahn/nori-code --skill kimi-datasource

Repositorio

88

Aprobado

https://github.com/wangyuahn/nori-code/tree/master/plugins/official/kimi-datasource

Licencia

86

Aprobado

MIT

Mantenimiento

88

Aprobado

2 meses desde el último push

Revisión por IA

55

Revisar

SKILL.md instructs agents to pass a file_path to many APIs, but does not explicitly restrict it to /tmp or warn against writing to sensitive locations. A malicious prompt or untrusted backend response could cause the agent to request file writes outside the intended output directory.

Completitud de README/SKILL.md

84

Aprobado

Usable description available

Riesgo de dependencias

46

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

18

Corregir

secrets or environment access, shell or command execution

Actividad de stars/forks

32

Corregir

13 estrellas y 0 forks; la actividad de issues no está disponible en los metadatos actuales

Adopción

42

Revisar

13 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 instructs agents to pass a file_path to many APIs, but does not explicitly restrict it to /tmp or warn against writing to sensitive locations. A malicious prompt or untrusted backend response could cause the agent to request file writes outside the intended output directory.
  • The data returned from the backend may contain arbitrary content. SKILL.md does not warn agents to treat all returned data strictly as data, which could lead to indirect prompt injection if malformed metadata is misinterpreted as instructions.
  • Low GitHub adoption signal
  • 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
  • GitHub adoption: 13 GitHub stars
  • Stars/forks activity: 13 stars, 0 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.

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