diagnosing-cockroachdb-helm-deployments

diagnosing-cockroachdb-helm-deployments is a System & environment troubleshooting skill for AI agents, published by cockroachdb in the helm-charts repository on GitHub. Skillspace rates diagnosing-cockroachdb-helm-deployments F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.

Diagnoses failed or unhealthy CockroachDB Helm chart deployments by checking Helm release state, operator health, CrdbCluster and CrdbNode status, pod readiness, RBAC, webhooks, TLS, upgrades, scaling, PVCs, DNS, and multi-region assumptions. Use when Helm install or upgrade fails, pods are not Ready, or the operator is not reconciling.

Grade
F
Quality
45 / 100
Safety
Risky
GitHub stars
105

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since.

Our review

Architecture
87 / 100
Maturity
Basic: a single SKILL.md
Security scan
High-risk patterns
License
Apache-2.0
Adoption
Adopted by 0 other repositories, in 0 collections

What the scanner flagged

  • base64 decode (possible obfuscation)

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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