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customize

Interactive guided deployment flow for Azure OpenAI models with full customization control. Step-by-step selection of model version, SKU (GlobalStandard/Standard/ProvisionedManaged), capacity, RAI policy (content filter), and advanced options (dynamic quota, priority processing, spillover). USE FOR: custom deployment, customize model deployment, choose version, select SKU, set capacity, configure content filter, RAI policy, deployment options, detailed deployment, advanced deployment, PTU deployment, provisioned throughput. DO NOT USE FOR: quick deployment to optimal region (use preset).

Quality

90%

Does it follow best practices?

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SecuritybySnyk

Passed

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SKILL.md
Quality
Evals
Security

Quality

Content

85%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.

A well-engineered overview document: a clearly sequenced 13-phase workflow with explicit validation gates and error-recovery guidance, deferring executable scripts to two real, well-signaled reference files. The only deductions are minor redundancy between the comparison/quick-reference tables and the prose, and a few natural trigger-term gaps inherited from the description.

DimensionReasoningScore

Conciseness

The body is dense and table-driven with no explanation of concepts Claude already knows, and it defers implementation detail to references. Minor redundancy — the "customize vs preset" comparison table and several Quick Reference rows restate the "When to Use" bullets — keeps it just short of the lean-and-efficient top anchor.

4 / 5

Actionability

Concrete specifics appear inline (default RAI policy `Microsoft.DefaultV2`, name validation regex `^[\w.-]{2,64}$`, 5-minute timeout, executable troubleshooting bash commands) while phase scripts are deliberately deferred to a reference file, per proper progressive disclosure. As an instruction-overview document it is mostly executable guidance with minor gaps since the full command sequences live one file away.

4 / 5

Workflow Clarity

Thirteen phases are clearly numbered and sequenced with explicit validation checkpoints: Phase 7 validates capacity min/max/step at input, Phase 12 requires user review before execution, and quota failures are marked "DEPLOYMENT BLOCKED: Will not proceed without valid quota data". An error-handling table maps each failure to a resolution, providing the feedback loop of the top anchor.

5 / 5

Progressive Disclosure

The body is a genuine overview with well-signaled, one-level-deep references — a "MUST READ" pointer to references/customize-workflow.md for phase scripts and a clearly scoped pointer to references/customize-guides.md for selection guides — both verified to exist and contain exactly the claimed content. Content is appropriately split with easy navigation.

5 / 5

Total

18

/

20

Passed

Description

92%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.

A strong description that clearly states capabilities with concrete named options, provides an explicit and extensive USE FOR trigger list, and disambiguates against the sibling preset skill with a DO NOT USE clause. The only weakness is a handful of missing natural trigger synonyms.

DimensionReasoningScore

Specificity

The description enumerates five concrete capability dimensions with named values: "Step-by-step selection of model version, SKU (GlobalStandard/Standard/ProvisionedManaged), capacity, RAI policy (content filter), and advanced options (dynamic quota, priority processing, spillover)" — comprehensive concrete actions with no coverage gaps, matching the top anchor. It is written in third person, so no voice penalty applies.

5 / 5

Completeness

It explicitly answers "what" (two detailed sentences of capability description) and "when" (an explicit "USE FOR:" list of concrete trigger phrases), plus a "DO NOT USE FOR: quick deployment to optimal region (use preset)" boundary — exactly the anchor-5 pattern of both what and when with concrete triggers.

5 / 5

Trigger Term Quality

The "USE FOR:" clause lists eleven natural trigger phrases ("custom deployment, customize model deployment, choose version, select SKU, set capacity, configure content filter, RAI policy, ... PTU deployment, provisioned throughput") — good natural coverage, but a few common variants users would say are missing (e.g., "deploy a model", "content filtering"), placing it between the 4 and 5 anchors and noticeably above the midpoint.

4 / 5

Distinctiveness Conflict Risk

A clear niche (fully customized Azure OpenAI model deployment) with SKU-level specifics and an explicit negative boundary routing quick deployments to the `preset` skill, minimizing risk of triggering for the wrong skill.

5 / 5

Total

19

/

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.

Validation — 15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

relative_links

Relative link issues: 1 suspicious

Warning

Total

15

/

16

Passed

Repository

microsoft/azure-skills

Path

.github/plugins/azure-skills/skills/microsoft-foundry/models/deploy-model/customize/SKILL.md

Reviewed

Table of Contents

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