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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?

Impact

No eval scenarios have been run

SecuritybySnyk

Passed

No known issues

Optimize this skill with Tessl

npx tessl skill review --optimize ./skills/azure-ai-contentsafety-java/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

64%

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 with proper imports. However, it reads more like comprehensive SDK documentation than a focused skill, with some unnecessary explanatory content and boilerplate sections. The main weakness is the lack of workflow sequencing and validation checkpoints, particularly around blocklist operations where timing and verification matter.

Suggestions

Add an explicit multi-step workflow for blocklist-based moderation that sequences create → add items → verify propagation (5-min delay) → analyze, with validation at each step.

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

Consider splitting blocklist management into a separate referenced file to keep the main skill focused on the core analyze text/image workflow.

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'/'Limitations' sections are boilerplate filler, and the 'Best Practices' section mixes useful tips (blocklist delay) with generic advice (caching, batch processing). The severity levels table is useful domain-specific info though.

2 / 3

Actionability

The skill provides fully executable, copy-paste ready Java code for every operation: client creation, text analysis, image analysis, blocklist CRUD operations, and error handling. Import statements are included, and examples cover both simple and advanced usage patterns with options.

3 / 3

Workflow Clarity

Individual operations are clearly shown, but there's no explicit workflow sequencing for multi-step processes like 'create blocklist → add items → wait 5 minutes → analyze text with blocklist.' The blocklist delay warning is buried in best practices rather than integrated as a validation checkpoint in the blocklist workflow. No feedback loops for verifying blocklist creation succeeded before adding items.

2 / 3

Progressive Disclosure

The content is well-organized with clear section headers, but it's a monolithic document (~200+ lines) with no references to external files. The blocklist management section alone could be split out. However, with no bundle files provided, there's nothing to reference, so the inline approach is somewhat justified, though the content could still benefit from better layering between quick-start and comprehensive reference.

2 / 3

Total

9

/

12

Passed

Description

40%

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 'content moderation', 'harmful content', 'text safety', 'image moderation', 'Azure Content Safety'.

List specific concrete actions such as 'analyze text for harmful content, moderate images, manage custom blocklists, detect protected material'.

Include common user-facing terms and file/API references users might mention, such as 'content filtering', 'safety checks', 'moderation API', or 'ContentSafetyClient'.

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.

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
sickn33/antigravity-awesome-skills
Reviewed

Table of Contents

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