Rapport d’audit du skill
aerospike-data-modeling Rapport d’audit.
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 OpenAgentSkill
Trust Score OpenAgentSkill
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
Adoption GitHub
Échoué30
14 stars GitHub
Activité stars/forks
Échoué32
14 stars et 7 forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles
Maintenance récente
Validé88
2 mois depuis le dernier push
Clarté de licence
Validé86
Apache-2.0
Complétude README/SKILL.md
Validé86
Les métadonnées incluent suffisamment de contexte d’usage et de workflow
Risque dépendances/runtime
Échoué28
command execution surface, credential or environment access
Disponibilité de l’installation
Validé92
npx skills add aerospike/agent-skills --skill aerospike-data-modeling
Sécurité de la commande d’installation
Validé92
Chemin d’installation standard de package ou runtime
Surface de permissions
Échoué18
secrets or environment access, shell or command execution
Preuve du dépôt
Validé86
https://github.com/aerospike/agent-skills/tree/main/skills/aerospike-data-modeling
État de revue
Info66
Données de revue IA disponibles
Résultats prouvés par Agent
Info54
Pas encore de données de résultats Agent
Vérifications
Revue d’installation et d’adoption
Chemin d’installation
92
npx skills add aerospike/agent-skills --skill aerospike-data-modeling
Dépôt
88
https://github.com/aerospike/agent-skills/tree/main/skills/aerospike-data-modeling
Licence
86
Apache-2.0
Maintenance
88
2 mois depuis le dernier push
Revue 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.
Complétude README/SKILL.md
86
Usable description available
Risque de dépendances
28
command execution surface, credential or environment access
Sécurité de la commande d’installation
92
Chemin d’installation standard de package ou runtime
Surface de permissions
18
secrets or environment access, shell or command execution
Activité stars/forks
32
14 stars et 7 forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles
Adoption
42
14 stars GitHub
Avertissements
- 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
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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