Informe de auditoría del skill
aerospike-data-modeling Informe de auditoría.
Designs a new Aerospike data model from requirements, producing a schema guide and schema summary: record granularity, key design, bin structure, relationship and consolidation decisions, and index strategy. Use when no schema exists yet, when redesigning an existing model, or when reviewing a proposed schema for structural defects. This is design-time work that precedes code. For writing or reviewing client code against a model that already exists, or for client APIs, policies, CDT operations, and expression usage, use aerospike-development instead. Core database only; not Aerospike Graph.
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
14 estrellas de GitHub
Actividad de stars/forks
Fallido32
14 estrellas y 7 forks; la actividad de issues no está disponible en los metadatos actuales
Mantenimiento reciente
Aprobado88
2 meses desde el último push
Claridad de licencia
Aprobado86
Apache-2.0
Completitud de README/SKILL.md
Aprobado86
Los metadatos incluyen suficiente contexto de uso y flujo de trabajo
Riesgo de dependencias/runtime
Fallido28
command execution surface, credential or environment access
Disponibilidad de instalación
Aprobado92
npx skills add aerospike/agent-skills --skill aerospike-data-modeling
Seguridad del comando de instalación
Aprobado92
Ruta estándar de paquete o instalación en tiempo de ejecución
Superficie de permisos
Fallido18
secrets or environment access, shell or command execution
Evidencia del repositorio
Aprobado86
https://github.com/aerospike/agent-skills/tree/main/skills/aerospike-data-modeling
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 aerospike/agent-skills --skill aerospike-data-modeling
Repositorio
88
https://github.com/aerospike/agent-skills/tree/main/skills/aerospike-data-modeling
Licencia
86
Apache-2.0
Mantenimiento
88
2 meses desde el último push
Revisión por IA
55
Skill instructs the agent to clone and follow instructions from an external repository (aerospike/data-modeling-guide), which is an injection surface if that repository is ever compromised; SKILL.md contains no explicit guardrails for treating fetched content as untrusted.
Completitud de README/SKILL.md
86
Usable description available
Riesgo de dependencias
28
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
18
secrets or environment access, shell or command execution
Actividad de stars/forks
32
14 estrellas y 7 forks; la actividad de issues no está disponible en los metadatos actuales
Adopción
42
14 estrellas de GitHub
Advertencias
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- Skill instructs the agent to clone and follow instructions from an external repository (aerospike/data-modeling-guide), which is an injection surface if that repository is ever compromised; SKILL.md contains no explicit guardrails for treating fetched content as untrusted.
- Metadata timestamps are inconsistent with the current date (last_verified 2026-08-06, repository last updated 2026-08-27) and should be corrected or verified.
- Parsed frontmatter shows description as '>-' rather than the expanded description, indicating either a parsing quirk or malformed YAML that should be checked.
- Low GitHub adoption signal
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- GitHub adoption: 14 GitHub stars
- Stars/forks activity: 14 stars, 7 forks; issue activity unavailable in current metadata
- 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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