Rapport d’audit du skill
ml-paper-writing Rapport d’audit.
Write publication-ready ML/AI/Systems papers for NeurIPS, ICML, ICLR, ACL, AAAI, COLM, OSDI, NSDI, ASPLOS, SOSP. Use when drafting papers from research repos, structuring arguments, verifying citations, or preparing camera-ready submissions. Includes LaTeX templates, reviewer guidelines, and citation verification workflows.
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
Validé86
1.4K stars GitHub
Activité stars/forks
Info77
1.4K stars et 97 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
Validé94
Les métadonnées incluent suffisamment de contexte d’usage et de workflow
Risque dépendances/runtime
Info64
command execution surface, network or browser surface
Disponibilité de l’installation
Validé92
npx skills add OpenRaiser/NanoResearch --skill ml-paper-writing
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/OpenRaiser/NanoResearch/tree/main/skills/vendor-ai-research/ml-paper-writing
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 OpenRaiser/NanoResearch --skill ml-paper-writing
Dépôt
88
https://github.com/OpenRaiser/NanoResearch/tree/main/skills/vendor-ai-research/ml-paper-writing
Licence
86
MIT
Maintenance
88
2 mois depuis le dernier push
Revue IA
55
The skill relies on external MCP servers and APIs (Exa, Semantic Scholar, arXiv, Crossref) without explicit installation instructions or version pinning for dependencies.
Complétude README/SKILL.md
94
Usable description available
Risque de dépendances
64
command execution surface, network or browser 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
77
1.4K stars et 97 forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles
Adoption
88
1.4K stars GitHub
Avertissements
- Permission surface may require sandboxing
- The skill relies on external MCP servers and APIs (Exa, Semantic Scholar, arXiv, Crossref) without explicit installation instructions or version pinning for dependencies.
- There is no explicit limitations section in SKILL.md clarifying boundaries such as venue policy changes, human oversight, or ethical review responsibilities.
- Dependencies are listed as Python package names but the skill does not provide setup commands, API key guidance, or failure handling for unavailable APIs.
- Quality score needs review
- Permission surface needs review: shell or command execution, filesystem or document access
- 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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