obot-platform/obot
Obot is an open-source AI governance platform that provides centralized control, security, and distribution for Model Context Protocol (MCP) servers, agent skills, and LLM gateways.
Obot acts as a comprehensive governance and infrastructure layer for organizations deploying AI systems. It unifies access across various AI clients, model providers, and developer tools by offering an LLM gateway, an MCP server registry, sandboxed execution environments, and real-time audit logging. Additionally, it integrates device-level security and policy enforcement through Obot Sentry, allowing enterprises to maintain secure, compliant AI workflows without locking into a single tool or model vendor.
Managing and governing internal Model Context Protocol (MCP) servers and agent skills., Centralizing LLM provider credentials and restricting model access per user or group., Auditing and recording AI activity, tool calls, token usage, and model costs across user devices and servers., Running isolated, sandboxed MCP servers and agent workloads using Docker or Kubernetes.
実タスクにどれだけ役立つか（機能の豊富さ・用途の明確さ）。 — AIによるcapabilities/use-cases解析
実装・指示の品質。 — AIによるSKILL.md/README解析
リポジトリがどれだけ活発に保守されているか。 — GitHub 最終push日時の新しさ
ドキュメントの充実度・分かりやすさ。 — README/独自要約の情報量
危険・不審な挙動が無いか。 — AIによるセキュリティレビュー
ありふれたラッパーではない独自性。 — AIによる独自性判定
コミュニティの採用度。 — GitHub Stars/Forks（対数スケール）
対応AIエージェントの広さ。 — AIによる対応エージェント判定
ライセンス不明/制限あり（Red）のSkillは総合スコアに0.85倍の補正を適用します。 ランキングはこのScoreのみで決まり、広告で変わりません。 算出方法の詳細 →
Obot handles sensitive API credentials, authentication tokens, and enterprise audit logs. It requires careful configuration of access control rules, identity provider integrations, and network policies to secure hosted MCP servers and sandboxed execution environments.
Summary and analysis are original content generated by AI Skills Rank. The skill's source text is not reproduced here — view it on the linked repository.