Rapport d’audit du skill
andrew-ng Rapport d’audit.
Applies the reasoning, principles, and frameworks of Andrew Ng (machine learning pioneer, co-founder of Coursera and DeepLearning.AI, Stanford University, and former Google Brain lead). Use this skill whenever the user is navigating AI application development, agentic workflows, automation strategy, AI-native software engineering, or rapid prototyping. Trigger this skill when discussing career advice in the AI era, evaluating AI regulations, structuring machine learning projects, or deciding how to integrate AI into a business. It emphasizes task-based automation, data-centric ML, and driving the cost of proof-of-concepts to zero.
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
Info62
122 stars GitHub
Activité stars/forks
Avertissement57
122 stars et 18 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
MIT
Complétude README/SKILL.md
Info76
Les métadonnées publiques nécessitent davantage de contexte README/SKILL.md
Risque dépendances/runtime
Info64
credential or environment access, network or browser surface
Disponibilité de l’installation
Validé92
npx skills add K-Dense-AI/mimeographs --skill andrew-ng
Sécurité de la commande d’installation
Validé92
Chemin d’installation standard de package ou runtime
Surface de permissions
Avertissement60
secrets or environment access, network or browser access
Preuve du dépôt
Validé86
https://github.com/K-Dense-AI/mimeographs/tree/main/mimeographs/andrew-ng
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 K-Dense-AI/mimeographs --skill andrew-ng
Dépôt
88
https://github.com/K-Dense-AI/mimeographs/tree/main/mimeographs/andrew-ng
Licence
86
MIT
Maintenance
88
2 mois depuis le dernier push
Revue IA
55
The SKILL.md contains some duplication between core principles, mental models, and anti-patterns (e.g., the electric motor analogy appears multiple times), which could be streamlined to reduce context bloat.
Complétude README/SKILL.md
84
Usable description available
Risque de dépendances
64
credential or environment access, network or browser surface
Sécurité de la commande d’installation
92
Chemin d’installation standard de package ou runtime
Surface de permissions
60
secrets or environment access, network or browser access
Activité stars/forks
57
122 stars et 18 forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles
Adoption
68
122 stars GitHub
Avertissements
- Permission surface may require sandboxing
- The SKILL.md contains some duplication between core principles, mental models, and anti-patterns (e.g., the electric motor analogy appears multiple times), which could be streamlined to reduce context bloat.
- The frameworks section lacks explicit source citations, though the critique notes they are available in the corpus; adding them would strengthen traceability.
- Quality score needs review
- Permission surface needs review: secrets or environment access, network or browser access
- Stars/forks activity: 122 stars, 18 forks; issue activity unavailable in current metadata
- Permission surface: secrets or environment access, network or browser access
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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