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json-ld-valid

Use when generating or auditing any `<script type='application/ld+json'>` blocks, implementing structured data for articles, products, FAQs, breadcrumbs, or local businesses, or investigating why rich results are not appearing in Google Search Console.

65

Quality

78%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

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tessl review fix ./skills/json-ld-valid/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

57%

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

The content is well-structured with good progressive disclosure, but loses points for overlapping Check/Code Review sections, an Explain section that re-teaches known concepts, no executable code block in the body, and a missing validate→fix→retry feedback loop.

Suggestions

Remove or trim the 'Explain' section and the redundant 'Code Review' section (it largely restates 'Check'); consolidate the single validation procedure once to improve conciseness.

Add a small executable JSON-LD validation snippet (e.g., a JSON.parse try/catch over script contents) directly in the body so guidance is copy-paste ready, keeping full examples in references/rule.md.

Make the workflow an explicit feedback loop: parse/validate → if errors, fix syntax or required properties → re-validate via Rich Results Test → only proceed when clean.

DimensionReasoningScore

Conciseness

The body is mostly efficient with clear sections, but the 'Explain' section re-explains concepts Claude already knows ('Google uses JSON-LD structured data to generate rich results...') and the 'Check' and 'Code Review' sections substantially overlap, which could be tightened — matching the score-2 'mostly efficient but includes some unnecessary explanation' anchor.

2 / 3

Actionability

Concrete guidance is present (JSON.parse(), the exact "https://schema.org" string, per-type required-property lists, named validation URLs), but the body itself contains no copy-paste executable code block and the Check/Code Review steps are procedural prose rather than runnable snippets, matching score-2 'some concrete guidance but incomplete'.

2 / 3

Workflow Clarity

A clear numbered sequence exists (parse → verify @context → verify @type → required props → validate) with named validation endpoints, but there is no explicit validate→fix→retry feedback loop checkpoint, keeping it at the score-2 'sequence present but checkpoints missing/implicit' anchor rather than score 3.

2 / 3

Progressive Disclosure

The body is well-organized into clear sections and points to a single, clearly-signaled one-level-deep reference (references/rule.md) that exists and contains no nested references, matching the score-3 'clear overview with well-signaled one-level-deep references' anchor.

3 / 3

Total

9

/

12

Passed

Description

100%

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, trigger-rich, complete (explicit 'Use when'), and distinct, written in third person. It is a strong model description with no notable weaknesses.

DimensionReasoningScore

Specificity

Quotes 'generating or auditing any <script type=application/ld+json> blocks, implementing structured data for articles, products, FAQs, breadcrumbs, or local businesses, or investigating why rich results are not appearing in Google Search Console' list multiple concrete actions across named entity types, matching the score-3 anchor.

3 / 3

Completeness

Opens with an explicit 'Use when' trigger and states the what (generating/auditing JSON-LD structured data), clearly answering both what AND when, matching the score-3 anchor rather than the what-only score-2 example.

3 / 3

Trigger Term Quality

Natural terms users would say appear throughout: 'JSON-LD', 'structured data', 'rich results', 'Google Search Console', plus concrete types (articles, products, FAQs, breadcrumbs); good coverage matching the score-3 anchor, not merely 'some relevant keywords'.

3 / 3

Distinctiveness Conflict Risk

The niche is narrowly scoped to JSON-LD structured data and rich-results diagnostics, with distinct triggers unlikely to fire for unrelated skills, matching the score-3 'clear niche' anchor.

3 / 3

Total

12

/

12

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

metadata_version

'metadata.version' is missing

Warning

Total

15

/

16

Passed

Repository
thedaviddias/Front-End-Checklist
Reviewed

Table of Contents

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