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kubernetes

Kubernetes operations expert for kubectl, pods, deployments, and debugging

70

Quality

85%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Quality

Content

87%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A tight, highly actionable reference full of executable kubectl commands with no wasted tokens. The only gap is the lack of validation/retry checkpoints for deployment-affecting operations.

Suggestions

Add a validation checkpoint to risky workflows, e.g. after applying manifests run `kubectl rollout status deployment/<name>` and roll back on failure.

Include a brief verify step in the deployment flow (e.g. `kubectl get events` / dry-run `kubectl apply --dry-run=server`) before declaring a change complete.

DimensionReasoningScore

Conciseness

Lean and token-efficient with no explanation of concepts Claude already knows; every line delivers actionable guidance.

3 / 3

Actionability

Provides concrete, copy-paste-ready kubectl commands (e.g. "kubectl logs <pod> -n <ns> --previous") and specific manifest guidance throughout.

3 / 3

Workflow Clarity

The debugging workflow is well sequenced, but operations involving deployment/cluster changes lack explicit validate-then-retry feedback checkpoints, which caps clarity at 2 for these risky operations.

2 / 3

Progressive Disclosure

A short, single-purpose skill under 50 lines with no bundle files; sections are well organized so progressive disclosure scores 3 per the simple-skills note.

3 / 3

Total

11

/

12

Passed

Description

82%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A concise, specific description that names concrete tools and actions with a clear niche. Its main gap is the absence of an explicit trigger ("Use when...") clause, which caps completeness at 2.

Suggestions

Add an explicit trigger clause, e.g. "Use when working with Kubernetes clusters, debugging pods, or managing deployments with kubectl."

Mention Helm explicitly in the description since it appears in the body, broadening natural trigger terms.

DimensionReasoningScore

Specificity

Names concrete capabilities and tools ("kubectl, pods, deployments, and debugging") rather than vague abstractions, listing multiple specific actions.

3 / 3

Completeness

Clearly answers what the skill does, but there is no explicit "Use when..." trigger clause, so the when is only implied and completeness is capped at 2.

2 / 3

Trigger Term Quality

Uses natural terms users actually say when asking for Kubernetes help ("kubectl", "pods", "deployments", "debugging") with good coverage.

3 / 3

Distinctiveness Conflict Risk

Has a clear, narrow niche (Kubernetes operations) with distinct triggers unlikely to collide with other skills.

3 / 3

Total

11

/

12

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
RightNow-AI/openfang
Reviewed

Table of Contents

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