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azure-ai-contentsafety-java

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

59

Quality

68%

Does it follow best practices?

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SecuritybySnyk

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tessl review fix ./plugins/AI-Agents-Safe-Coding-Skills-claude/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

76%Weight 40%Scale 1-5

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

The content is highly actionable with thorough executable Java examples and clean organization, but it functions as an API catalog rather than a sequenced workflow and lacks validation/feedback guidance for persistent blocklist operations. Trim the filler sections and add verification steps for batch operations.

Suggestions

Add validation/verification steps for batch and destructive blocklist operations (e.g. confirm item exists before removing, verify create returned 201 before adding items) to lift workflow clarity above the batch cap.

Remove or replace the contentless "When to Use" line ("This skill is applicable to execute the workflow...") and the redundant "Trigger Phrases" list, which duplicate the description's job.

Consider moving the full blocklist CRUD and image-URL reference into a separate REFERENCE.md to tighten SKILL.md into a true overview.

DimensionReasoningScore

Conciseness

The body is mostly lean code examples under short headers with little concept padding, assuming Claude's competence. It is not 5 because the trigger-phrase list and the filler "When to Use" line ("This skill is applicable to execute the workflow...") add tokens that earn little.

4 / 5

Actionability

It provides complete, copy-paste-ready Java covering client creation, text/image analysis, blocklist CRUD, and error handling across the common cases. This matches anchor 5 (fully executable, specific examples cover common cases).

5 / 5

Workflow Clarity

It catalogs API patterns rather than sequencing a workflow, and blocklist create/add/remove/delete operations are persistent batch operations with no validation checkpoints or feedback loops. The destructive/batch guideline caps this at 3 even though individual patterns are unambiguous.

3 / 5

Progressive Disclosure

Content is well-organized into clear sections (Installation, Client Creation, Core Patterns, Blocklist Management) in a single file with no external bundle. It is not 5 because at ~280 lines the full blocklist CRUD and image API surface could plausibly live in separate reference files, leaving minor organization gaps.

4 / 5

Total

16

/

20

Passed

Description

61%Weight 40%Scale 1-5

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 specific to a named SDK and language with solid natural trigger terms, but it lacks any explicit "Use when..." trigger guidance and only gestures at a single generic action. Adding concrete capabilities and a when-to-use clause would lift completeness and specificity.

Suggestions

Add a "Use when..." clause naming concrete trigger phrases (e.g. analyzing text/image safety, managing blocklists, detecting hate speech in Java).

Replace the single generic action "Build content moderation applications" with 2-3 specific actions like "analyze text and images for harmful content, manage custom blocklists, apply severity thresholds".

Include common synonyms users say ("hate speech detection", "harmful content filter") to broaden trigger coverage.

DimensionReasoningScore

Specificity

"Build content moderation applications using the Azure AI Content Safety SDK for Java" names the domain (content moderation) and one concrete action (build applications), but does not enumerate specific capabilities like text/image analysis or blocklist management. It matches anchor 3 (domain + 1-2 concrete actions) and not 4 because only a single generic action is listed.

3 / 5

Completeness

It gives a clear "what" (build content moderation apps with this SDK) but has no "Use when..." or equivalent trigger guidance, which per the guidelines caps completeness at 3. Not 4 because the "when" is entirely missing rather than merely weak.

3 / 5

Trigger Term Quality

It surfaces natural terms a user would say — "content moderation", "content safety", "Azure", "Java" — giving good keyword coverage, though synonyms and file extensions are absent. It sits at anchor 4 rather than 5 because a few natural phrasings (e.g. "hate speech", "harmful content filter") are missing.

4 / 5

Distinctiveness Conflict Risk

Tying the skill to a named product plus language (Azure AI Content Safety SDK for Java) gives a clear niche with minimal overlap risk. It falls just below 5 because the generic "build content moderation applications" phrasing leaves slight breadth toward adjacent moderation skills.

4 / 5

Total

14

/

20

Passed

Validation

93%

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

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

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

Warning

Total

15

/

16

Passed

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

Table of Contents

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