Informe de auditoría del skill
neo4j-agent-memory-skill Informe de auditoría.
Authoritative reference for the neo4j-agent-memory Python package — a graph-native memory system for AI agents built on Neo4j — and for the hosted service (NAMS) at memory.neo4jlabs.com. Use this skill whenever the user mentions neo4j-agent-memory, agent memory with Neo4j, context graphs, the POLE+O model, MemoryClient/MemorySettings, the memory MCP server, or any of the framework integrations (LangChain, PydanticAI, CrewAI, AWS Strands, Google ADK, Microsoft Agent Framework, OpenAI Agents, LlamaIndex). Also use when the user mentions the hosted service at memory.neo4jlabs.com, NAMS, the Neo4j Agent Memory Service, the `nams_` API key prefix, or the hosted MCP endpoint. Also use when writing documentation, blog posts, tutorials, PRDs, or code samples for the project, when comparing agent memory approaches, or when positioning graph-native memory against vector-only approaches — even if the user doesn't explicitly name the package.
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
Info62
101 estrellas de GitHub
Actividad de stars/forks
Advertencia57
101 estrellas y 35 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
MIT
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 neo4j-contrib/neo4j-skills --skill neo4j-agent-memory-skill
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/neo4j-contrib/neo4j-skills/tree/main/neo4j-agent-memory-skill
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 neo4j-contrib/neo4j-skills --skill neo4j-agent-memory-skill
Repositorio
88
https://github.com/neo4j-contrib/neo4j-skills/tree/main/neo4j-agent-memory-skill
Licencia
86
MIT
Mantenimiento
88
2 meses desde el último push
Revisión por IA
55
The SKILL.md excerpt is truncated in the review, but the visible content indicates a comprehensive reference with explicit warnings about version verification and authoritative sources.
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
57
101 estrellas y 35 forks; la actividad de issues no está disponible en los metadatos actuales
Adopción
68
101 estrellas de GitHub
Financial decision safety
58
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
- The SKILL.md excerpt is truncated in the review, but the visible content indicates a comprehensive reference with explicit warnings about version verification and authoritative sources.
- Potential license mismatch: the repository is MIT but the referenced package is Apache-2.0; this is not a conflict for the skill itself but should be clarified in the skill documentation.
- 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
- Stars/forks activity: 101 stars, 35 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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