from arifos41
A governance-focused autonomous controller blueprint that defines self-healing, self-optimizing, and constitutional decision flows for agentic systems; includes
This skill documents a high-level autonomous controller architecture (arifOS) intended to govern agentic systems with constitutional constraints. It outlines capabilities such as self-healing, self-optimizing, self-protecting and self-governing, and provides a phased decision flow (Perception → Deliberation → Action) with example shell calls and governance checkpoints. The content is largely architectural and prescriptive rather than a single runnable script; it is designed as an integration pattern for agents that need constitutional validation and safety gates before autonomous actions.
Use this skill as a design and governance template when building or evaluating agentic systems that require explicit constitutional rules, irreversible-action holds (888_HOLD), and structured audit trails. It is appropriate for teams prototyping governed autonomy, integrating constitutional checks before deploys or destructive operations, or coordinating multi-step governance workflows.
Intended for advanced agentic platforms that support custom shell/python MCP calls and governance tooling (agents that can call arifos hooks, health-probe, or similar OpenClaw integrations).
This skill has not been reviewed by our automated audit pipeline yet.
