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schema-markup-generator

Generate JSON-LD structured data markup for rich results in Google Search. Supports FAQ, HowTo, Article, Product, LocalBusiness, and multi-type schemas. Validates against Google requirements and provides implementation guidance. Use when asked to "add schema markup", "generate structured data", "JSON-LD", "rich snippets", "FAQ schema", "product markup", "add structured data to my page", "how to get rich snippets", or any structured data task.

66

Quality

81%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

67%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 body is well-structured and actionable with genuine reference files and validation checklists, but it is dragged down by verbosity, a leftover generic boilerplate sentence, unfilled `~~` tool-name placeholders, and malformed nested code fences. Cleaning these up would lift conciseness materially.

Suggestions

Remove the stray line "Use this whenever the task needs a shippable asset or transformation that should feed directly into quality review, deployment, or monitoring" — it is generic boilerplate unrelated to schema markup.

Replace the `~~` placeholders (~~web crawler, ~~schema validator, ~~search console) with the real tool names (e.g. Google Rich Results Test, Schema.org Validator, Google Search Console).

Fix the malformed nested code fences in the Implementation Guide (```html and ```json nested inside a ```markdown block) and move the large FAQ example and CORE-EEAT mapping table into reference files to tighten the main body.

DimensionReasoningScore

Conciseness

Mostly efficient with tables and lists, but it carries redundant content-type mapping tables, a long prose Q&A example, a stray generic boilerplate line about "shippable asset... quality review, deployment, or monitoring" that does not fit schema markup, and unfilled `~~` placeholders.

3 / 5

Actionability

Provides a complete executable FAQPage JSON-LD example, HTML implementation snippets, a validation workflow, and a quick-reference table, with only minor gaps (tool names left as `~~` placeholders and reliance on reference files for full templates).

4 / 5

Workflow Clarity

Clear three-step sequence (identify content type and rich-result opportunity → generate markup → implement and validate) with explicit input and output validation checklists, though the stray boilerplate line mildly disrupts the flow.

4 / 5

Progressive Disclosure

Well-organized sections with one-level-deep, clearly signaled markdown links to real bundle files (schema-templates.md, schema-decision-tree.md, validation-guide.md) that all exist; minor inlining of content that could live in references.

4 / 5

Total

15

/

20

Passed

Description

95%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 strong: it states concrete capabilities, lists the supported schema types, and provides an explicit, comprehensive "Use when" trigger clause with natural user phrasings. Only minor improvement is possible in the slightly generic "implementation guidance" wording.

DimensionReasoningScore

Specificity

Lists several concrete actions ("Generate JSON-LD structured data markup", "Supports FAQ, HowTo, Article, Product, LocalBusiness, and multi-type schemas", "Validates against Google requirements") with only minor generic phrasing around "implementation guidance".

4 / 5

Completeness

Explicitly answers both what (generate/validate JSON-LD markup across multiple schema types) and when (an explicit "Use when asked to..." clause with concrete trigger phrases).

5 / 5

Trigger Term Quality

Comprehensive natural trigger phrases users would actually say ("add schema markup", "generate structured data", "JSON-LD", "rich snippets", "FAQ schema", "product markup", "how to get rich snippets") plus synonyms and the general fallback "any structured data task".

5 / 5

Distinctiveness Conflict Risk

Occupies a clear niche (structured data / JSON-LD schema for rich results) with distinct, specialized triggers and minimal overlap risk with other skills.

5 / 5

Total

19

/

20

Passed

Validation

87%

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

Validation14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

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

Warning

relative_links

Relative link issues: 1 suspicious

Warning

Total

14

/

16

Passed

Repository
nowork-studio/NotFair
Reviewed

Table of Contents

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