OpenAgentSkill
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Rapport d’audit du skill

neo4j-agent-memory-skill Rapport d’audit.

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.

Bloqué · BloquerRevue nécessaireGénéré 14 oct. 2026Audit heuristique des métadonnées
70
Audit
62
Confiance
63
Qualité
68
Sécurité
88
Maintain
92
Installer

Trust Score OpenAgentSkill

62
Revue manuelle

Trust Score OpenAgentSkill

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

Adoption GitHub

Info

62

101 stars GitHub

Activité stars/forks

Avertissement

57

101 stars et 35 forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles

Maintenance récente

Validé

88

2 mois depuis le dernier push

Clarté de licence

Validé

86

MIT

Complétude README/SKILL.md

Validé

86

Les métadonnées incluent suffisamment de contexte d’usage et de workflow

Risque dépendances/runtime

Échoué

28

command execution surface, credential or environment access

Disponibilité de l’installation

Validé

92

npx skills add neo4j-contrib/neo4j-skills --skill neo4j-agent-memory-skill

Sécurité de la commande d’installation

Validé

92

Chemin d’installation standard de package ou runtime

Surface de permissions

Échoué

18

secrets or environment access, shell or command execution

Preuve du dépôt

Validé

86

https://github.com/neo4j-contrib/neo4j-skills/tree/main/neo4j-agent-memory-skill

État de revue

Info

66

Données de revue IA disponibles

Résultats prouvés par Agent

Info

54

Pas encore de données de résultats Agent

Vérifications

Revue d’installation et d’adoption

6 Validé · 16 Revue nécessaire

Chemin d’installation

92

Validé

npx skills add neo4j-contrib/neo4j-skills --skill neo4j-agent-memory-skill

Dépôt

88

Validé

https://github.com/neo4j-contrib/neo4j-skills/tree/main/neo4j-agent-memory-skill

Licence

86

Validé

MIT

Maintenance

88

Validé

2 mois depuis le dernier push

Revue IA

55

Vérifier

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.

Complétude README/SKILL.md

86

Validé

Usable description available

Risque de dépendances

28

Corriger

command execution surface, credential or environment access

Sécurité de la commande d’installation

92

Validé

Chemin d’installation standard de package ou runtime

Surface de permissions

18

Corriger

secrets or environment access, shell or command execution

Activité stars/forks

57

Corriger

101 stars et 35 forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles

Adoption

68

Info

101 stars GitHub

Financial decision safety

58

Vérifier

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

Avertissements

  • 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

Méthode

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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