CtrlK
BlogDocsLog inGet started
Tessl Logo
SkillPublic

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.

Quality

85%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide
SecuritybySnyk

Passed

No findings from the security scan

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 highly actionable, well-structured single-file skill whose code examples are executable and cover all advertised features. Its main costs are redundant filler sections (Trigger Phrases, When to Use) and time-sensitive version pinning that slightly inflate token usage.

Suggestions

Remove the 'Trigger Phrases' and 'When to Use' sections from the body — trigger phrasing belongs in the frontmatter description, and the circular 'When to Use' line adds no guidance.

Move the pinned version '1.0.1' out of the main installation snippet or mark it as a known-good baseline (e.g., note the latest SDK version should be checked), since hardcoded version numbers go stale.

Extend the Error Handling section with brief recovery guidance (e.g., what to do on 401/429 — verify VISION_KEY, retry with backoff) to turn the catch block into a real feedback checkpoint.

DimensionReasoningScore

Conciseness

The body is lean and code-first, but the "Trigger Phrases" section duplicates the frontmatter description, the closing "When to Use: This skill is applicable to execute the workflow or actions described in the overview" is circular filler, and the hardcoded version "1.0.1" is time-sensitive without a deprecation context.

4 / 5

Actionability

Fully executable, copy-paste-ready Java examples cover every documented visual feature, both auth styles, async usage, and error handling; a dependency snippet and env-var setup make the common cases complete.

5 / 5

Workflow Clarity

The single action (install dependency, create client, call analyze with a feature list) is unambiguous and sections are logically ordered with an error-handling checkpoint, but the catch block only prints status/message without validate-then-retry guidance.

4 / 5

Progressive Disclosure

Well-organized sections (Installation, Client Creation, Visual Features, Core Patterns, Error Handling, constraints) with no bundle files and content appropriately inline at this scale; minor gaps like the misplaced Trigger Phrases section keep it below the top anchor.

4 / 5

Total

17

/

20

Passed

Description

83%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 the domain, concrete capabilities, and explicit 'Use when' triggers in third person. The only weaknesses are minor coverage gaps (dense captions, people detection) and a few missing synonym trigger terms.

DimensionReasoningScore

Specificity

Lists several concrete actions ("image captioning, OCR text extraction, object detection, tagging, or smart cropping") but omits dense captions and people detection that the body documents, so coverage has minor gaps rather than being comprehensive.

4 / 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, object detection, tagging, or smart cropping") with concrete trigger phrases, matching the top anchor.

5 / 5

Trigger Term Quality

Includes natural phrases users would say ("image captioning", "object detection", "OCR text extraction", "smart cropping") alongside the SDK name, but misses common variations like "computer vision", "image analysis", or "text recognition".

4 / 5

Distinctiveness Conflict Risk

"Azure AI Vision SDK for Java" defines a clear niche, but the generic opening "Build image analysis applications" leaves minor overlap risk with other image-analysis or Azure SDK skills, fitting the 'mostly distinct' anchor rather than 'minimal conflict risk'.

4 / 5

Total

17

/

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

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

Path

skills/azure-ai-vision-imageanalysis-java/SKILL.md

Reviewed

Table of Contents

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.