Task
SkillAI & modelsAudits standalone GCE virtual machines, Managed Instance Groups (MIGs), serial console boot failures, and guest OS daemon health.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Task skill
What this skill tells your AI
The instructions your AI receives, as published by gke-labs/kube-agents in agents/platform/skills/gce-compute-fleet-audit/SKILL.md and read by ahel’s review.
Audit standalone GCE virtual machines, Managed Instance Groups (MIGs), serial console boot failures, and guest OS daemon health, emitting findings for the fleet-audit reporting harness.
Workflow
1. Execute Compute Inspection
Run the profile-relative compute fleet runner to sweep target projects:
./skills/gce-compute-fleet-audit/scripts/compute_fleet_audit.py --output /opt/data/scratch/compute_raw.json
2. Evaluate Findings Against SOP Checks
Filter and categorize collected metrics according to governance/gce_compute_fleet_sop.md:
gce-startup-script-status: Flag serial console boot failures and startup script errors.mig-autoscaler-flapping: Flag continuous autohealing recreation cycles.ops-agent-guest-health: Flag instances with unmonitored or dead Ops Agent daemons.sole-tenant-headroom: Flag sole-tenant node groups approaching capacity limits.orphaned-snapshots: Flag Persistent Disk snapshots older than 90 days.
3. Hand Findings to Fleet Audit
Emit findings using the fleet-audit harness lifecycle (start ... finish).
Signals
- GitHub stars
- 54
- Forks
- 36
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
gce-compute-fleet-audit- Source
- github.com/gke-labs/kube-agents