skills — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited skills (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Skills are repeatable procedures for AI agents. Each skill defines a deterministic path to the correct outcome.
Trigger: Before any infrastructure change or during incidents
1. Call check_cluster_health with namespace="all"
2. Check health_score:
- >= 90: Healthy — safe to proceed
- 70-89: Warning — proceed with caution
- < 70: Degraded — investigate before making changes
3. Review problem_pods for CrashLoopBackOff or high restarts
4. Check recommendations and surface top 3 to engineerTrigger: Before applying any Kubernetes manifest
1. Call validate_manifest with the YAML content
2. If critical failures → BLOCK deployment
3. If high failures → warn and provide remediation
4. If compliant → approve for deployment
5. After deployment: call check_cluster_health to verifyTrigger: When reviewing Terraform changes
1. Call analyze_terraform with the HCL content
2. Score >= 75 → approve with comments
3. Score 60-74 → request changes
4. Score < 60 → block merge
5. Always flag security findings regardless of scoreTrigger: Weekly or on-demand
1. Call query_azure_resources with type="all"
2. Call query_cluster_metrics for each AKS cluster
3. Check for untagged resources
4. Check for clusters with high CPU/memory
5. Compile findings into a platform health report~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.