Rapport d’audit du skill
ai-services Rapport d’audit.
Configure DigitalOcean Gradient AI serverless inference and Agent Development Kit. Use when adding LLM inference, model access keys, serverless AI endpoints, or building AI agents with ADK on App Platform.
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
Avertissement48
36 stars GitHub
Activité stars/forks
Avertissement43
36 stars et 4 forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles
Maintenance récente
Validé88
1 mois depuis le dernier push
Clarté de licence
Validé86
MIT
Complétude README/SKILL.md
Validé86
Les métadonnées incluent suffisamment de contexte d’usage et de workflow
Risque dépendances/runtime
Échoué36
command execution surface, credential or environment access
Disponibilité de l’installation
Validé92
npx skills add digitalocean-labs/do-app-platform-skills --skill ai-services
Sécurité de la commande d’installation
Validé92
Chemin d’installation standard de package ou runtime
Surface de permissions
Échoué36
secrets or environment access, shell or command execution
Preuve du dépôt
Validé86
https://github.com/digitalocean-labs/do-app-platform-skills/tree/main/skills/ai-services
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 digitalocean-labs/do-app-platform-skills --skill ai-services
Dépôt
88
https://github.com/digitalocean-labs/do-app-platform-skills/tree/main/skills/ai-services
Licence
86
MIT
Maintenance
88
1 mois depuis le dernier push
Revue IA
55
Inconsistent credential env var names: SKILL.md uses MODEL_ACCESS_KEY while reference/agent-development-kit.md uses GRADIENT_MODEL_ACCESS_KEY, which can cause configuration errors.
Complétude README/SKILL.md
86
Usable description available
Risque de dépendances
36
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
36
secrets or environment access, shell or command execution
Activité stars/forks
43
36 stars et 4 forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles
Adoption
42
36 stars GitHub
Avertissements
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- Inconsistent credential env var names: SKILL.md uses MODEL_ACCESS_KEY while reference/agent-development-kit.md uses GRADIENT_MODEL_ACCESS_KEY, which can cause configuration errors.
- SKILL.md lacks an explicit Limitations/safe-operating-boundaries section describing unsupported models or use cases and scope restrictions for the API token.
- Low GitHub adoption signal
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- GitHub adoption: 36 GitHub stars
- Stars/forks activity: 36 stars, 4 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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