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azure-ai-contentsafety-ts

Analyze text and images for harmful content with customizable blocklists.

46

Quality

48%

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-ts/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, typed, and executable. However, it's somewhat verbose with boilerplate sections and explanatory tables that don't add value for Claude, and the blocklist workflow lacks explicit sequencing and validation steps. The monolithic structure would benefit from splitting reference material into separate files.

Suggestions

Remove the boilerplate 'When to Use', 'Limitations', and 'Best Practices' sections — these are generic filler that Claude doesn't need.

Add explicit workflow sequencing for blocklist management: number the steps (create → verify → add items → verify → use in analysis) with validation checkpoints between each step.

Split the API Endpoints table, Key Types, and Harm Categories/Severity Levels into a separate REFERENCE.md file to reduce the main skill's token footprint.

DimensionReasoningScore

Conciseness

The skill is mostly efficient with executable code examples, but includes some unnecessary content like the 'Best Practices' section with generic advice Claude already knows (e.g., 'Handle edge cases'), the boilerplate 'When to Use' and 'Limitations' sections, and the Harm Categories description table which explains domain concepts rather than SDK usage. The content could be tightened by ~30%.

2 / 3

Actionability

All code examples are fully executable TypeScript with proper imports, concrete API paths, and real type annotations. The examples cover authentication, text analysis, image analysis, blocklist CRUD operations, and a complete moderation helper function — all copy-paste ready.

3 / 3

Workflow Clarity

Individual operations are clear, but the blocklist management workflow (create → add items → analyze with blocklist) is presented as isolated snippets without explicit sequencing or validation checkpoints. There's no guidance on verifying blocklist creation succeeded before adding items, or confirming items were added before using the blocklist in analysis.

2 / 3

Progressive Disclosure

The content is a monolithic file with ~250 lines that could benefit from splitting — the blocklist management section, the moderation helper, and the API reference tables could be separate files. There are no bundle files and no references to external documents, so everything is inline despite some sections being reference material rather than primary guidance.

2 / 3

Total

9

/

12

Passed

Description

32%

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 conveys the core purpose of content moderation with blocklists but lacks a 'Use when...' clause, which significantly hurts completeness. It would benefit from more specific action verbs, additional natural trigger terms users might use, and explicit guidance on when Claude should select this skill.

Suggestions

Add a 'Use when...' clause with trigger terms like 'content moderation', 'filter harmful content', 'NSFW detection', 'profanity filter', or 'safety check'.

List more specific concrete actions such as 'flag toxic language, detect NSFW images, categorize content violations, apply custom blocklists'.

Include common user-facing synonyms and file types to improve trigger term coverage, e.g., 'moderation', 'safety', 'toxic', 'offensive', 'inappropriate content'.

DimensionReasoningScore

Specificity

Names the domain (content moderation) and two key actions (analyze text/images, customizable blocklists), but doesn't list multiple concrete actions like flagging, filtering, reporting, or categorizing harmful content.

2 / 3

Completeness

Describes what the skill does but has no 'Use when...' clause or equivalent explicit trigger guidance. Per the rubric, a missing 'Use when...' clause caps completeness at 2, and since the 'when' is entirely absent, this scores a 1.

1 / 3

Trigger Term Quality

Includes some relevant keywords like 'harmful content', 'blocklists', 'text', and 'images', but misses common user terms like 'content moderation', 'NSFW', 'safety', 'filter', 'profanity', or 'toxic content'.

2 / 3

Distinctiveness Conflict Risk

The combination of 'harmful content' and 'blocklists' provides some distinctiveness, but 'analyze text and images' is broad enough to overlap with general image analysis or text analysis skills.

2 / 3

Total

7

/

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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