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kubernetes-deployment

Kubernetes deployment workflow for container orchestration, Helm charts, service mesh, and production-ready K8s configurations.

54

Quality

61%

Does it follow best practices?

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Adds up to 20 points to the overall score

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SecuritybySnyk

Passed

No findings from the security scan

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tessl review fix ./plugins/AI-Agents-Safe-Coding-Skills-claude/skills/kubernetes-deployment/SKILL.md

The canonical home for this skill is kubernetes-deployment in administrakt0r/AI-Agents-Safe-Coding-Skills

SKILL.md
Quality
Evals
Security

Quality

Content

57%Weight 40%Scale 1-5

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

The body is a concise, well-phased workflow skeleton but stays at an abstract level — it names skills to invoke and actions to take without executable commands, validation checkpoints, or supporting reference files. Adding concrete manifests/commands and verification gates would substantially improve it.

Suggestions

Add executable commands or example manifests for key actions (e.g. 'helm install', 'kubectl apply -f deployment.yaml') instead of copy-paste prompt strings.

Insert validation checkpoints and feedback loops per phase, e.g. verify rollout with 'kubectl rollout status' before proceeding, to satisfy the destructive/batch workflow requirement.

Move detailed per-phase guidance into reference files under references/ (e.g. helm-chart.md, service-mesh.md) and link them from SKILL.md to improve progressive disclosure.

DimensionReasoningScore

Conciseness

The body is largely lean bullet-list phases that assume Claude's competence with little padding, though a few headers and prompts echo the description unnecessarily.

4 / 5

Actionability

Guidance is mostly high-level hints ('Create Deployment', 'Configure Service') plus copy-paste prompt strings rather than concrete executable commands or manifests, sitting between minimal and mostly-executable.

3 / 5

Workflow Clarity

Seven phases are clearly sequenced, but there are no validation checkpoints or feedback loops for deployment operations, and the rubric caps destructive/batch workflows without validation at 3.

3 / 5

Progressive Disclosure

The skill is a single inline SKILL.md with section structure and no bundle files (references/scripts/assets absent), so it has some organization but no appropriate content split or signaled references.

3 / 5

Total

13

/

20

Passed

Description

66%Weight 40%Scale 1-5

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

The description is specific and distinct, naming several concrete K8s capabilities, but lacks an explicit 'when to use' trigger clause. Adding a 'Use when...' sentence would raise completeness toward the top of the scale.

Suggestions

Append an explicit trigger clause, e.g. 'Use when deploying applications to Kubernetes, creating Helm charts, or configuring service mesh.'

Add natural synonyms and variations users might say (e.g. 'Kubernetes', 'k8s deploy', 'Helm', 'Istio') to broaden trigger-term coverage.

Tighten the capability list to distinct concrete actions to push specificity toward comprehensive coverage.

DimensionReasoningScore

Specificity

Names the domain and several concrete capabilities ('container orchestration, Helm charts, service mesh, and production-ready K8s configurations'), with only minor coverage gaps; not a comprehensive 5-level list.

4 / 5

Completeness

The 'what' is clear but there is no explicit 'Use when...' trigger clause, which per the rubric caps completeness at 3.

3 / 5

Trigger Term Quality

Contains natural terms a user would say ('Kubernetes deployment', 'Helm charts', 'service mesh', 'K8s'), but a few natural synonyms are missing, so it sits just below comprehensive coverage.

4 / 5

Distinctiveness Conflict Risk

It carves a distinct Kubernetes-deployment niche with minor overlap risk against related DevOps skills, but is not maximally specific to reach a 5.

4 / 5

Total

15

/

20

Passed

Validation

93%

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

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

15

/

16

Passed

Repository
administrakt0r/AI-Agents-Safe-Coding-Skills
Reviewed

Table of Contents

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