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azure-mgmt-arizeaiobservabilityeval-dotnet

Azure Resource Manager SDK for Arize AI Observability and Evaluation (.NET).

52

Quality

58%

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SecuritybySnyk

Passed

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tessl review fix ./plugins/AI-Agents-Safe-Coding-Skills-claude/skills/azure-mgmt-arizeaiobservabilityeval-dotnet/SKILL.md

The canonical home for this skill is azure-mgmt-arizeaiobservabilityeval-dotnet in administrakt0r/AI-Agents-Safe-Coding-Skills

SKILL.md
Quality
Evals
Security

Quality

Content

76%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 strong, actionable SDK reference with comprehensive executable examples and clean organization. Its main gaps are the absence of validation/verification checkpoints around destructive and batch operations and a small amount of filler.

Suggestions

Add explicit validation checkpoints for destructive and batch operations, e.g. confirm resource identity before DeleteAsync and verify ProvisioningState=='Succeeded' after create/update.

Remove or replace the vacuous 'When to Use' line with concrete trigger guidance that mirrors the description's intended use cases.

Consider moving the Key Types and Enums tables into a references/ file and linking from the overview to keep SKILL.md lean.

DimensionReasoningScore

Conciseness

The body is mostly efficient with executable code, tables, and minimal concept re-explanation, though the filler 'When to Use' line ('This skill is applicable to execute the workflow or actions described in the overview.') adds no value and could be trimmed.

4 / 5

Actionability

Multiple complete, copy-paste-ready C# examples cover create, get, list, update, delete, error handling, and direct resource access with realistic values, fully covering the common cases.

5 / 5

Workflow Clarity

Each CRUD operation is clearly sequenced and labeled, but destructive (Delete) and batch/list operations lack validation checkpoints or feedback loops (e.g., confirm-before-delete, verify provisioning state after create), which caps workflow clarity at 3 per the destructive-operations guideline.

3 / 5

Progressive Disclosure

No bundle files exist; all content is inline but well-organized with clear section headers and external links, with only minor organization gaps (Key Types/Enums tables could be externalized to a reference file).

4 / 5

Total

16

/

20

Passed

Description

40%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 accurately identifies a specific niche but is largely a noun phrase: it names the product and platform without concrete actions and provides no 'Use when' trigger guidance. It is distinct but minimally actionable as a trigger.

Suggestions

Add concrete verbs/actions, e.g. 'Create, read, update, and delete Arize AI Observability and Evaluation organizations on Azure.'

Append an explicit 'Use when...' trigger clause naming natural user phrases such as 'manage Arize AI resources on Azure' or '.NET Azure SDK for Arize'.

Include relevant synonyms/file cues (e.g., 'Azure.ResourceManager.ArizeAIObservabilityEval NuGet package') to broaden natural trigger coverage.

DimensionReasoningScore

Specificity

The description precisely names the domain ("Azure Resource Manager SDK for Arize AI Observability and Evaluation (.NET)") but lists no concrete actions beyond the implied "managing", matching the anchor that names the domain with minimal/generic actions.

2 / 5

Completeness

It offers only a vague 'what' ("SDK for managing... resources") and entirely lacks a 'when'/'Use when...' trigger clause, matching the anchor for a vague what with no when.

2 / 5

Trigger Term Quality

Relevant domain keywords are present ("Azure Resource Manager", "Arize AI", "Observability", "Evaluation", ".NET") but they are product/proper-noun jargon rather than natural user phrases, and common synonyms or file extensions are missing.

3 / 5

Distinctiveness Conflict Risk

It targets a clear, narrow niche (Arize AI Observability Eval on Azure) with distinct triggers and only minor overlap risk against the broader Azure ResourceManager SDK family.

4 / 5

Total

11

/

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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