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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

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

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 complete, executable Java code. However, it's somewhat long and monolithic, mixing quick-start patterns with comprehensive CRUD operations that could be split out. The skill would benefit from explicit multi-step workflow sequences (especially for the blocklist creation-to-usage flow) and trimming of content Claude already knows.

Suggestions

Add an explicit workflow sequence for the blocklist lifecycle: create → add items → wait ~5 min → analyze text with blocklist → verify matches, with validation at each step.

Move the detailed blocklist CRUD operations to a separate BLOCKLIST_REFERENCE.md file and link to it from the main skill, keeping only the most common patterns inline.

Remove the 'Trigger Phrases' and 'When to Use' boilerplate sections from the body, and trim the Key Concepts harm category descriptions which Claude already understands.

DimensionReasoningScore

Conciseness

The skill is mostly efficient with executable code examples, but includes some unnecessary content: the 'Key Concepts' table explaining harm categories is something Claude already knows, the 'Trigger Phrases' and 'When to Use' sections add no value to the body content, and the 'Best Practices' section mixes useful SDK-specific tips (blocklist delay, severity thresholds) with generic advice (caching, batch processing).

2 / 3

Actionability

The skill provides fully executable, copy-paste ready Java code for every operation: client creation, text analysis, image analysis, blocklist CRUD, and error handling. All examples use real SDK classes with proper imports and are immediately usable.

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 min → analyze with blocklist) is never presented as a connected sequence with validation checkpoints. The error handling section exists but isn't integrated into the workflows.

2 / 3

Progressive Disclosure

The content is well-organized with clear section headers, but it's a long monolithic file (~200 lines of code examples) that could benefit from splitting blocklist management into a separate reference file. There are no references to external files for advanced topics or detailed API documentation.

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) which helps with distinctiveness, but it lacks specific concrete actions and completely omits a 'Use when...' clause. Adding explicit trigger conditions and enumerating specific capabilities (e.g., text analysis, image analysis, blocklist management) would significantly improve its effectiveness for skill selection.

Suggestions

Add a 'Use when...' clause with trigger terms like 'content moderation', 'harmful content', 'text safety', 'image safety', 'Azure Content Safety', 'blocklist management'.

List specific concrete actions such as 'analyze text for harmful content', 'classify image safety', 'manage custom blocklists', 'detect hate speech, violence, or self-harm content'.

Include common user-facing variations like 'content filtering', 'safety API', 'moderation API', and file/format references like 'Maven dependency' or 'com.azure' package names.

DimensionReasoningScore

Specificity

Names the domain (content moderation) and the technology (Azure AI Content Safety SDK for Java), but doesn't 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.

Validation10 / 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
administrakt0r/AI-Agents-Safe-Coding-Skills
Reviewed

Table of Contents

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