Rapport d’audit du skill
smart-routing Rapport d’audit.
Intelligent request routing for /toh command. Analyzes user intent, assesses confidence, surveys the runtime (2-step, per orchestration-protocol), and routes to the appropriate agent(s). Memory-first approach ensures context awareness. Triggers: /toh command, natural language requests, ambiguous inputs.
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
95 stars GitHub
Activité stars/forks
Avertissement48
95 stars et 19 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
Échoué38
command execution surface, credential or environment access
Disponibilité de l’installation
Validé92
npx skills add wasintoh/toh-framework --skill smart-routing
Sécurité de la commande d’installation
Validé92
Chemin d’installation standard de package ou runtime
Surface de permissions
Échoué18
secrets or environment access, shell or command execution
Preuve du dépôt
Validé86
https://github.com/wasintoh/toh-framework/tree/main/src/skills/smart-routing
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 wasintoh/toh-framework --skill smart-routing
Dépôt
88
https://github.com/wasintoh/toh-framework/tree/main/src/skills/smart-routing
Licence
86
MIT
Maintenance
88
1 mois depuis le dernier push
Revue IA
55
The SKILL.md contains a contradiction: it describes a detailed confidence scoring algorithm but then states 'do not compute or display confidence scores' and refers to native agent-description matching. This could confuse implementers.
Complétude README/SKILL.md
86
Usable description available
Risque de dépendances
38
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
18
secrets or environment access, shell or command execution
Activité stars/forks
48
95 stars et 19 forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles
Adoption
68
95 stars GitHub
Avertissements
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- The SKILL.md contains a contradiction: it describes a detailed confidence scoring algorithm but then states 'do not compute or display confidence scores' and refers to native agent-description matching. This could confuse implementers.
- The skill depends on external files (.toh/memory/*.md, .toh/capabilities.json) and an 'orchestration-protocol' that are not fully specified in the SKILL.md, which may hinder portability.
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- GitHub adoption: 95 GitHub stars
- Stars/forks activity: 95 stars, 19 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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