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azure-ai-contentsafety-py

Azure AI Content Safety SDK for Python. Use for detecting harmful content in text and images with multi-severity classification.

60

Quality

70%

Does it follow best practices?

Impact

No eval scenarios have been run

SecuritybySnyk

Advisory

Suggest reviewing before use

Optimize this skill with Tessl

npx tessl skill review --optimize ./skills/azure-ai-contentsafety-py/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 — all code examples are complete and executable. However, it's somewhat verbose with redundant tables and boilerplate sections that Claude doesn't need, and it lacks error handling/validation guidance that would be important for production use of a content safety API. The monolithic structure could benefit from splitting reference material into separate files.

Suggestions

Remove the boilerplate 'When to Use' and 'Limitations' sections, and trim the Harm Categories table descriptions — Claude already knows what hate speech and violence are.

Add error handling examples (API errors, rate limits, invalid content) and validation steps, especially for the blocklist creation workflow.

Consider splitting reference tables (severity levels, harm categories, client types) and blocklist management into separate files, keeping SKILL.md as a concise overview with links.

DimensionReasoningScore

Conciseness

The skill is mostly efficient with executable code examples, but includes some unnecessary content: the Harm Categories table descriptions are things Claude already knows, the 'Best Practices' section is largely generic advice, and the boilerplate 'When to Use' and 'Limitations' sections add no value. The severity scale table and client types table are borderline redundant.

2 / 3

Actionability

All code examples are fully executable, copy-paste ready, with correct imports and proper usage patterns. The skill covers authentication, text analysis, image analysis, blocklist management, and severity configuration with concrete, complete code snippets.

3 / 3

Workflow Clarity

The skill presents individual operations clearly but lacks validation checkpoints. For a content safety SDK, there's no error handling guidance (e.g., what happens when the API returns errors, rate limits, or invalid inputs), and the blocklist workflow (create → add items → analyze) has no verification steps between stages.

2 / 3

Progressive Disclosure

The content is reasonably well-organized with clear section headers, but it's a long monolithic file (~180 lines) with no references to external files. The blocklist management section and reference tables could be split into separate files, with the main SKILL.md serving as a concise overview pointing to detailed guides.

2 / 3

Total

9

/

12

Passed

Description

75%

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 is functional and clearly identifies both the purpose and when to use the skill, with a distinct niche around Azure AI Content Safety SDK. However, it could benefit from listing more specific concrete actions (e.g., analyzing text, analyzing images, configuring blocklists, interpreting severity scores) and including more natural trigger terms users might use like 'content moderation' or 'toxicity detection'.

Suggestions

Add more specific concrete actions such as 'analyze text for hate speech, violence, sexual content, and self-harm categories; analyze images for harmful content; configure custom blocklists; interpret multi-severity scores'.

Expand trigger terms to include common user phrases like 'content moderation', 'toxicity detection', 'NSFW filtering', 'hate speech detection', or 'content filtering'.

DimensionReasoningScore

Specificity

Names the domain (Azure AI Content Safety SDK) and some actions ('detecting harmful content in text and images with multi-severity classification'), but doesn't list multiple specific concrete actions like configuring blocklists, analyzing severity levels, or handling specific content categories.

2 / 3

Completeness

Clearly answers both 'what' (Azure AI Content Safety SDK for Python, detecting harmful content with multi-severity classification) and 'when' ('Use for detecting harmful content in text and images'), with an explicit 'Use for...' trigger clause.

3 / 3

Trigger Term Quality

Includes relevant keywords like 'Azure AI Content Safety', 'harmful content', 'text and images', and 'multi-severity classification', but misses common user variations like 'content moderation', 'toxicity detection', 'NSFW', 'hate speech', or 'content filtering'.

2 / 3

Distinctiveness Conflict Risk

Highly distinctive due to the specific mention of 'Azure AI Content Safety SDK for Python' — this is a clear niche that is unlikely to conflict with other skills, as it targets a specific SDK and use case.

3 / 3

Total

10

/

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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