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azure-ai-contentsafety-java

Build content moderation applications using the Azure AI Content Safety SDK for Java.

48

Quality

52%

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 ./skills/azure-ai-contentsafety-java/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

64%Scale 1-3

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

This is a solid API reference skill with excellent actionability—every operation has executable, complete Java code examples with proper imports. However, it reads more like comprehensive API documentation than a focused skill, lacking workflow sequencing for multi-step operations (especially blocklist setup and usage) and including some unnecessary explanatory content. The document would benefit from a clear quick-start section and explicit multi-step workflows with validation checkpoints.

Suggestions

Add an explicit multi-step workflow for the blocklist lifecycle: create → add items → wait for propagation (with verification step) → analyze text with blocklist, including what to check at each stage.

Remove or significantly trim the 'Trigger Phrases', 'When to Use', and 'Limitations' boilerplate sections, and condense the 'Key Concepts' harm categories table since Claude already understands these concepts.

Consider splitting blocklist management operations into a separate referenced file to keep the main SKILL.md focused on the most common text/image analysis patterns.

DimensionReasoningScore

Conciseness

The skill is mostly efficient with executable code examples, but includes some unnecessary content: the 'Key Concepts' table explaining harm categories is basic knowledge Claude already has, the 'Trigger Phrases' and 'When to Use' sections add no actionable value, and the 'Best Practices' section mixes useful tips (blocklist delay) with generic advice (caching, batch processing). The overall length (~200 lines) could be tightened.

2 / 3

Actionability

The skill provides fully executable Java code examples for every operation: client creation, text analysis, image analysis, blocklist CRUD operations, and error handling. All examples include proper imports, are copy-paste ready, and cover both simple and advanced usage patterns (e.g., with options, with blocklists, from URL).

3 / 3

Workflow Clarity

The skill presents individual operations clearly but lacks workflow sequencing for multi-step processes. For example, the blocklist workflow (create → add items → wait 5 minutes → analyze with blocklist) is never presented as a connected sequence with validation checkpoints. The 5-minute delay is mentioned only as a best practice bullet point rather than as an explicit checkpoint in a workflow.

2 / 3

Progressive Disclosure

The content is organized into logical sections with clear headers, but it's a monolithic document with no references to external files. The blocklist management section alone is quite lengthy and could be split out. However, given no bundle files exist, the inline approach is somewhat justified, though the document would benefit from better separation of reference material from quick-start content.

2 / 3

Total

9

/

12

Passed

Description

40%Scale 1-3

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 identifies a clear and distinct technology niche (Azure AI Content Safety SDK for Java) but is too terse. It lacks specific concrete actions the skill enables and entirely omits a 'Use when...' clause, making it harder for Claude to know when to select this skill from a large pool.

Suggestions

Add a 'Use when...' clause with trigger terms like 'Use when the user needs to moderate text or images, detect harmful content, manage blocklists, or integrate Azure Content Safety into a Java application'.

List specific concrete actions such as 'analyze text for harmful content, moderate images, manage custom blocklists, configure severity thresholds'.

Include natural keyword variations users might say, such as 'harmful content detection', 'text safety', 'image moderation', 'content filtering', 'Azure safety API'.

DimensionReasoningScore

Specificity

Names the domain (content moderation) and the technology (Azure AI Content Safety SDK for Java), but does not list specific concrete actions like 'detect harmful text', 'classify images', 'manage blocklists', etc.

2 / 3

Completeness

Describes what (build content moderation apps with Azure AI Content Safety SDK for Java) but completely lacks a 'Use when...' clause or any explicit trigger guidance for when Claude should select this skill. Per rubric guidelines, missing 'Use when' caps completeness at 2, and the 'what' is also not very detailed, warranting a 1.

1 / 3

Trigger Term Quality

Includes relevant keywords like 'content moderation', 'Azure AI Content Safety', 'SDK', and 'Java', but misses common variations users might say such as 'harmful content detection', 'text moderation', 'image moderation', 'blocklist', or 'safety API'.

2 / 3

Distinctiveness Conflict Risk

The combination of 'Azure AI Content Safety SDK' and 'Java' creates a very specific niche that is unlikely to conflict with other skills. This is a clearly distinct technology and language pairing.

3 / 3

Total

8

/

12

Passed

Validation

90%

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

Validation — 10 / 11 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

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

Warning

Total

10

/

11

Passed

Repository
popey/claude-code-skills
Reviewed

Table of Contents

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