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azure-ai-projects-py

Build AI applications on Microsoft Foundry using the azure-ai-projects SDK.

48

Quality

53%

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

Fix and improve this skill with Tessl

tessl review fix ./plugins/AI-Agents-Safe-Coding-Skills-claude/skills/azure-ai-projects-py/SKILL.md

The canonical home for this skill is azure-ai-projects-py in sickn33/agentic-awesome-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 action-packed with executable examples and good structural intent for progressive disclosure, but missing bundle files break the reference navigation and no validation checkpoints exist for destructive/batch operations. Supplying the referenced files and adding explicit verify steps would raise the content score.

Suggestions

Provide the missing referenced bundle files (references/*.md and scripts/run_batch_evaluation.py) so the signaled navigation resolves to real content.

Add explicit validation/verification checkpoints and error-recovery loops for risky operations such as delete_agent and batch evaluation runs.

Remove the filler "When to Use" line and relocate the hard-coded version (v2.0.0b4) to a deprecated/version section so the body stays lean and avoids time-sensitive decay.

DimensionReasoningScore

Conciseness

The body is code- and table-first with little concept explanation, and only minor padding (the filler "This skill is applicable to execute the workflow or actions described in the overview." line and a version tag) keeps it just below fully lean, matching the score-4 anchor.

4 / 5

Actionability

Most sections give executable, copy-paste-ready Python for common cases (agents, tools, threads, connections, evals, async, memory), with only minor gaps such as the placeholder ellipsis in the async example and the mixed OpenAI-client eval snippet, fitting score 4.

4 / 5

Workflow Clarity

The thread/message flow is numbered 1-4 and best practices are listed, but there are no validation checkpoints or error-recovery loops for risky operations (delete_agent, batch evaluation), which per the feedback-loop guidance caps workflow_clarity at 3.

3 / 5

Progressive Disclosure

References are well-signaled and one-level deep with a clear Reference Files index (good structure intent), but none of the referenced references/*.md files or scripts/run_batch_evaluation.py actually exist in the bundle, so navigation is broken and promised detail content is absent, pulling it to score 3.

3 / 5

Total

14

/

20

Passed

Description

41%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 names a concrete SDK and domain but stops at a single generic action and lacks any "Use when" trigger guidance. Adding specific operations and a natural trigger clause would move it from the lower-mid range toward the strong examples.

Suggestions

Enumerate concrete operations the SDK supports (e.g., create and version agents, manage connections, run evaluations) instead of the single generic "Build AI applications" phrase.

Add a "Use when..." trigger clause with natural user phrases (e.g., "Use when building or deploying agents on Azure AI Foundry, managing Foundry connections, or running Foundry evaluations").

Include synonyms a user might naturally say (Azure AI Foundry, Foundry SDK, azure-ai-projects) to improve trigger-term coverage.

DimensionReasoningScore

Specificity

"Build AI applications" names the Foundry domain and SDK but offers only one generic action with no concrete operations enumerated, matching the score-2 anchor rather than the more comprehensive 1-2-actions anchor at 3.

2 / 5

Completeness

The description states a clear "what" (build AI apps on Foundry with the SDK) but has no "Use when..." trigger clause, which per the guidelines caps completeness at 3.

3 / 5

Trigger Term Quality

Keywords like "Microsoft Foundry" and "azure-ai-projects" are technical/SDK names rather than natural user phrases, missing the common terms a user would actually say, fitting the score-2 anchor.

2 / 5

Distinctiveness Conflict Risk

The specific Azure Foundry + azure-ai-projects SDK niche is mostly distinct with only minor overlap risk against other Azure/AI skills, matching the score-4 anchor.

4 / 5

Total

11

/

20

Passed

Validation

87%

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

Validation14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

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

Warning

referenced_paths_exist

Referenced path issues: 18 missing

Warning

Total

14

/

16

Passed

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

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