Rapport d’audit du skill
chem-sorption-gcmc Rapport d’audit.
Calculates gas adsorption isotherms via BVT/GCMC Monte Carlo simulations in a porous framework using MLIP.
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
161 stars GitHub
Activité stars/forks
Avertissement57
161 stars et 24 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
Avertissement54
command execution surface, credential or environment access
Disponibilité de l’installation
Validé92
npx skills add learningmatter-mit/AtomisticSkills --skill chem-sorption-gcmc
Sécurité de la commande d’installation
Validé92
Chemin d’installation standard de package ou runtime
Surface de permissions
Avertissement50
secrets or environment access, shell or command execution
Preuve du dépôt
Validé86
https://github.com/learningmatter-mit/AtomisticSkills/tree/main/.agents/skills/chem-sorption-gcmc
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 learningmatter-mit/AtomisticSkills --skill chem-sorption-gcmc
Dépôt
88
https://github.com/learningmatter-mit/AtomisticSkills/tree/main/.agents/skills/chem-sorption-gcmc
Licence
86
MIT
Maintenance
88
1 mois depuis le dernier push
Revue IA
55
The SKILL.md does not explain the output file formats (e.g., gcmc_results.json, multi_gcmc.json) or how to interpret the results (e.g., uptake units, selectivity).
Complétude README/SKILL.md
86
Usable description available
Risque de dépendances
54
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
50
secrets or environment access, shell or command execution
Activité stars/forks
57
161 stars et 24 forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles
Adoption
68
161 stars GitHub
Avertissements
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- The SKILL.md does not explain the output file formats (e.g., gcmc_results.json, multi_gcmc.json) or how to interpret the results (e.g., uptake units, selectivity).
- The example uses only 100 Monte Carlo steps, which is far below the recommended minimum of 50,000 for real simulations; this could mislead users into thinking such short runs are sufficient.
- The term 'BVT' is used without explanation; users unfamiliar with the ensemble may be confused.
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- Stars/forks activity: 161 stars, 24 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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