
from arifos41
Legacy copy of an autonomous governance skill describing self-healing, self-optimizing and constitutionally-governed agent actions — archival version.
This legacy skill documents an AGI-level autonomous controller and its governance model. It mirrors the primary controller material but is stored in a legacy/archive path. The content focuses on operational patterns for automated detection, remediation, governance checks, and action commits, including clear hold conditions for irreversible or risky operations.
Treat this entry as an archival/legacy variant: useful when tracing historical configurations, legacy workflows, or when comparing previous constitutional rules and triggers. Do not use it as the primary active implementation if a newer variant exists.
Same as primary: Claude Code and other agent runtimes able to execute CLI commands; primarily archival documentation rather than a runnable skill.
Legacy archival skill describing an AGI autonomous governance framework (arifOS F1-F13 constitutional floors). No scripts included. SKILL.md references fictional commands (arifos anchor, arifos heart, arifos judge, etc.) that don't exist as real tools. The content is a conceptual/aspirational document rather than a functional skill — no actionable instructions can be followed. Marked as legacy in its own name.
Not malicious — just not functional. This is a personal project's archival documentation wrapped as a skill. The 'self-healing' and 'self-optimizing' claims reference tools that don't exist. The skill body was not in the DB (null) and had to be fetched from GitHub (path in DB was wrong — pointed to 00_legacy_materials but actual path is skills/). Low usefulness score reflects that no one can actually use this skill.
AGI Autonomous Controller (legacy)
Legacy copy of the arifOS autonomous controller skill describing constitutional governance and automated remediation flows.
AGI Autonomous Controller
High-level autonomous governance workflow that outlines self-healing, self-optimizing, and constitutionally governed agent behavior for orchestration and govern