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azure-mgmt-arizeaiobservabilityeval-dotnet

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

52

Quality

59%

Does it follow best practices?

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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/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

65%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 comprehensive, fully executable CRUD reference with excellent actionability, but it is a monolithic inlined manual that would benefit from progressive disclosure into reference files, and its destructive Delete path lacks a validation checkpoint.

Suggestions

Move the Key Types, Enums, and full model-construction reference into a separate references file and link to it from the body, keeping only concise quick-start examples inline.

Add a pre-check (GetIfExistsAsync or ExistsAsync) before the destructive Delete example, or a confirmation step, to satisfy the validation-checkpoint requirement.

Trim the verbose marketplace/offer/user data-construction block to a minimal example, leaving full field details to an external reference.

DimensionReasoningScore

Conciseness

The style is efficient and does not teach concepts Claude already knows, but ~225 lines of inlined API reference (full data-construction blocks, Key Types and Enums tables) could be trimmed or moved to a separate reference file.

3 / 5

Actionability

Provides fully executable, copy-paste-ready C# covering every common case (create, get, list, update, delete, error handling, direct resource access), matching 'fully executable; specific examples cover the common cases'.

5 / 5

Workflow Clarity

Operations are clearly sectioned, but the destructive Delete example (DeleteAsync with no existence check or confirmation) lacks validation, capping workflow_clarity at 3 per the destructive-operation guideline.

3 / 5

Progressive Disclosure

Good section headers provide structure, but no bundle/reference files exist and all bulk reference material (Key Types, Enums, full model construction) is inlined, fitting 'content that should be separate is inline'.

3 / 5

Total

14

/

20

Passed

Description

53%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 precisely identifies a niche SDK but lacks any explicit trigger guidance and uses technical/product terms rather than natural user phrasings. It answers 'what' clearly but never answers 'when to use it'.

Suggestions

Add a 'Use when...' clause with natural trigger phrases, e.g. 'Use when managing Arize AI Observability and Evaluation resources on Azure with .NET.'

Enumerate concrete actions (create, get, list, update, delete organizations) instead of the generic 'managing' to lift specificity.

Include natural synonyms or trigger phrasings users would actually say (e.g. 'Arize AI on Azure', 'Azure .NET SDK') to improve trigger-term quality.

DimensionReasoningScore

Specificity

Names a precise domain ('Azure Resource Manager SDK for Arize AI Observability and Evaluation (.NET)') with the implied action 'managing', but does not enumerate concrete actions like create/get/list/update/delete, fitting 'names domain and 1-2 concrete actions, not comprehensive'.

3 / 5

Completeness

Has a clear 'what' (an ARM SDK for a specific resource provider) but no 'Use when...' or equivalent trigger guidance, so per the judging guideline completeness is capped at 3.

3 / 5

Trigger Term Quality

Contains relevant product/technical keywords ('Azure', 'Arize AI', 'Observability', 'Evaluation', '.NET') but no natural user phrasings or synonyms, matching 'some relevant keywords but missing common variations or synonyms'.

3 / 5

Distinctiveness Conflict Risk

The named resource provider 'Arize AI Observability and Evaluation' is a distinct niche, but with no explicit trigger and many similar Azure ARM SDK skills, there is minor overlap risk with closely related skills.

4 / 5

Total

13

/

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

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