Run 31 health checks across 7 SwarmAI loop dimensions and auto-fix safe issues.
npx skills add https://github.com/xg-gh-25/SwarmAI --skill loops-health
Please help me install this Agent Skill. Skill: loops-health Source: https://github.com/xg-gh-25/SwarmAI/tree/main/backend/skills/s_loops-health Command: npx skills add https://github.com/xg-gh-25/SwarmAI --skill loops-health
Self-maintenance engine for SwarmAI's 4 self-management loops. Not a reporter — a garbage collector that fixes what it can and only escalates genuine judgment calls.
Run the health check script to scan all self-management loops and apply any safe, automatic fixes.
High-intent search queries and answers about installing and using this skill.
To run health checks for self-management loops, execute the health check script to scan all loops across 7 dimensions and apply safe, automatic fixes while reporting Found, Fixed, and Pending items.
A self-maintenance engine for AI diagnostics operates as a garbage collector that automatically fixes safe health issues across memory, knowledge, and evolution dimensions, escalating only genuine judgment calls requiring human input.
Automated loop maintenance handles brain safety and infrastructure by enforcing strict safety rules that auto-fix only safe issues and emit structured outputs for downstream automation, escalating only complex human judgments.
The best way to monitor cross-loop coherence and memory health is to run an automated health assessment that generates Found, Fixed, and Pending reports, applying safe auto-fixes and escalating only judgment calls.
You should escalate self-evolution issues instead of using auto-fix when the automated health engine identifies them as judgment calls requiring human input, ensuring safety by restricting auto-fixes to safe issues only.
Yes, loops-health works without external dependencies, using internal scripts to execute a unified health engine that auto-fixes safe issues and emits structured outputs for downstream automation.
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