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azure-ai-vision-imageanalysis-java

Build image analysis applications with Azure AI Vision SDK for Java. Use when implementing image captioning, OCR text extraction, object detection, tagging, or smart cropping.

91

1.28x
Quality

87%

Does it follow best practices?

Impact

100%

1.28x

Average score across 3 eval scenarios

SecuritybySnyk

Passed

No findings from the security scan

The canonical home for this skill is azure-ai-vision-imageanalysis-java in sickn33/agentic-awesome-skills

SKILL.md
Quality
Evals
Security

Quality

Content

82%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 high-quality, code-heavy reference skill with fully executable examples and clear section structure. Its weaknesses are minor: a vague "When to Use" section and a monolithic single-file layout that could benefit from external reference files.

Suggestions

Replace the generic "When to Use" boilerplate with concrete decision guidance (e.g., when to use analyze vs analyzeFromUrl, or when async is preferable) to remove filler and add value.

Move the full per-feature result-access details or advanced options into a references/ file (e.g., FEATURES.md) and link to it from SKILL.md to improve progressive disclosure.

Add a brief validation/checkpoint note for batch image processing (e.g., verify each result is non-null before reading captions) if multi-image workflows are a target use case.

DimensionReasoningScore

Conciseness

The body is dominated by lean, executable code with almost no concept over-explanation, but the generic "When to Use" boilerplate ("This skill is applicable to execute the workflow or actions described in the overview") adds filler that could be trimmed, keeping it just below score 5.

4 / 5

Actionability

Every pattern is copy-paste-ready Java with real imports, real method calls, and result-access examples covering the common cases, matching the score-5 anchor for fully executable guidance.

5 / 5

Workflow Clarity

The create-client → analyze → read-results → handle-errors sequence is clear with an explicit error-handling section, but there are no validation checkpoints; this is acceptable since the operations are read-only API calls rather than destructive/batch work, so it sits at 4 rather than being capped.

4 / 5

Progressive Disclosure

Content is well-organized into clearly headed sections (Installation, Client Creation, Visual Features, Core Patterns, Error Handling), but at ~290 lines with no bundle files or one-level-deep references, some reference material (e.g., full visual-feature detail, advanced options) could be split out, leaving minor organization gaps.

4 / 5

Total

17

/

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 what the skill does and when to use it, with a comprehensive list of concrete capabilities and a well-scoped niche. The only minor gap is trigger-term synonym coverage.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — "image captioning, OCR text extraction, object detection, tagging, or smart cropping" — giving comprehensive coverage of the SDK's capabilities, matching the score-5 anchor.

5 / 5

Completeness

Explicitly answers both what ("Build image analysis applications with Azure AI Vision SDK for Java") and when ("Use when implementing image captioning, OCR text extraction...") with concrete trigger phrases, matching the score-5 anchor.

5 / 5

Trigger Term Quality

Strong natural terms (image captioning, OCR text extraction, object detection, smart cropping) but missing common synonyms a user might say such as "computer vision" or "image recognition"; good coverage rather than comprehensive.

4 / 5

Distinctiveness Conflict Risk

The "Azure AI Vision SDK for Java" niche is specific with distinct triggers, giving minimal conflict risk with other skills.

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.

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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