Rapport d’audit du skill
deepchem Rapport d’audit.
Molecular ML with diverse featurizers and pre-built datasets. Use for property prediction (ADMET, toxicity) with traditional ML or GNNs when you want extensive featurization options and MoleculeNet benchmarks. Best for quick experiments with pre-trained models, diverse molecular representations. For graph-first PyTorch workflows use torchdrug; for benchmark datasets use pytdc.
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
Validé100
44K stars GitHub
Activité stars/forks
Validé97
44K stars et 4.0K 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 license
Complétude README/SKILL.md
Validé86
Les métadonnées incluent suffisamment de contexte d’usage et de workflow
Risque dépendances/runtime
Avertissement54
command execution surface, external package install surface
Disponibilité de l’installation
Validé92
npx skills add K-Dense-AI/scientific-agent-skills --skill deepchem
Sécurité de la commande d’installation
Validé92
Chemin d’installation standard de package ou runtime
Surface de permissions
Avertissement48
shell or command execution, filesystem or document access
Preuve du dépôt
Validé86
https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/deepchem
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/scientific-agent-skills --skill deepchem
Dépôt
88
https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/deepchem
Licence
86
MIT license
Maintenance
88
1 mois depuis le dernier push
Revue IA
55
No critical security issues detected. The skill only uses standard file operations and Bash for running Python scripts, with no indication of malicious behavior.
Complétude README/SKILL.md
86
Usable description available
Risque de dépendances
54
command execution surface, external package install surface
Sécurité de la commande d’installation
92
Chemin d’installation standard de package ou runtime
Surface de permissions
48
shell or command execution, filesystem or document access
Activité stars/forks
97
44K stars et 4.0K forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles
Adoption
88
44K stars GitHub
Financial decision safety
58
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
- No critical security issues detected. The skill only uses standard file operations and Bash for running Python scripts, with no indication of malicious behavior.
- Financial research output is not financial advice; require human review before any live investment decision.
- Permission surface needs review: shell or command execution, filesystem or document access
- Dependency/runtime risk: command execution surface, external package install surface
- Permission surface: shell or command execution, filesystem or document 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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