Rapport d’audit du skill
agenthub Rapport d’audit.
Multi-agent collaboration plugin that spawns N parallel subagents competing on the same task via git worktree isolation. Agents work independently, results are evaluated by metric or LLM judge, and the best branch is merged. Use when: user wants multiple approaches tried in parallel — code optimization, content variation, research exploration, or any task that benefits from parallel competition. Requires: a git repo.
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
25K stars GitHub
Activité stars/forks
Validé97
25K stars et 3.5K 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
Validé86
Les métadonnées incluent suffisamment de contexte d’usage et de workflow
Risque dépendances/runtime
Info72
Surface d’exécution de commandes
Disponibilité de l’installation
Validé92
npx skills add alirezarezvani/claude-skills --skill agenthub
Sécurité de la commande d’installation
Validé92
Chemin d’installation standard de package ou runtime
Surface de permissions
Info62
shell or command execution, filesystem or document access
Preuve du dépôt
Validé86
https://github.com/alirezarezvani/claude-skills/tree/main/.gemini/skills/agenthub
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 alirezarezvani/claude-skills --skill agenthub
Dépôt
88
https://github.com/alirezarezvani/claude-skills/tree/main/.gemini/skills/agenthub
Licence
86
MIT
Maintenance
88
2 mois depuis le dernier push
Revue IA
55
No explicit sandboxing or security restrictions are described for the spawned subagents—they execute commands in worktrees, which could be risky if not scoped carefully.
Complétude README/SKILL.md
86
Usable description available
Risque de dépendances
72
Surface d’exécution de commandes
Sécurité de la commande d’installation
92
Chemin d’installation standard de package ou runtime
Surface de permissions
62
shell or command execution, filesystem or document access
Activité stars/forks
97
25K stars et 3.5K forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles
Adoption
88
25K stars GitHub
Avertissements
- No explicit sandboxing or security restrictions are described for the spawned subagents—they execute commands in worktrees, which could be risky if not scoped carefully.
- The SKILL.md references external scripts (e.g., `dag_analyzer.py`, `references/agent-templates.md`) that are not provided in this excerpt; their safety and correctness cannot be verified from this submission alone.
- No guidance is given on limiting resource usage (e.g., maximum number of agents) or handling malicious task inputs that could lead to unintended actions.
- Quality score needs review
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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