arifOS
MCP Serverariffazil/arifOS
arifOS is a constitutional governance kernel and operating system substrate for autonomous intelligence that evaluates actions against 13 physical and epistemic floors.
50 9AGPL-3.0Updated 2026-08-13
81
GreatOverview
arifOS operates as the central decision-making brain within an agentic federation, focusing strictly on cognitive deliberation, policy gating, and compliance verification. By implementing an inner loop of eight canonical verbs (from initialization to final Merkle anchoring), it processes intents and issues strict constitutional verdicts (SEAL, HOLD, SABAR, VOID) before any external actuation or mutation can take place.
Capabilities
- ▸Constitutional floor adjudication (F1–F13)
- ▸Eight canonical inner loop verb execution (init, observe, think, route, memory, judge, forge, seal)
- ▸Multi-tier governed memory tracking with provenance
- ▸Streamable HTTP Model Context Protocol (MCP) server interface
- ▸Immutable event logging and outcome anchoring
Best for
Enforcing strict constitutional and safety policies prior to automated code mutations or capital allocation., Auditing and tracing agentic decisions through multi-tier memory and immutable Merkle-anchored logs., Routing intelligent requests across specialized domain organs like geoscience, wealth management, and vitality.
Works with
Claude CodeCursorGitHub CopilotChatGPT
Evoa Score breakdown= Σ (score × weight)
81Task usefulness20%88 → +17.6
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
Code quality15%90 → +13.5
実装・指示の品質。 — AIによるSKILL.md/README解析
Maintenance15%100 → +15.0
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
Documentation12%42 → +5.0
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
Security15%80 → +12.0
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
Originality10%95 → +9.5
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
Popularity8%46 → +3.7
コミュニティの採用度。 — GitHub Stars/Forks（対数スケール）
Compatibility5%100 → +5.0
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
Weighted total81.3 / 100
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 →
Security considerations
Implements rigorous policy enforcement with human-in-the-loop overrides, prompt injection defense, and cryptographic audit logging to prevent rogue AI execution.
Categories
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.