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ai-content

Use when auditing metadata, crawlability, structured data, or indexability related to Audit and refine AI-generated content. Verify the rendered HTML and HTTP response rather than relying only on source files.

52

Quality

66%

Does it follow best practices?

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SecuritybySnyk

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tessl review fix ./skills/ai-content/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

46%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 a reasonably well-organized overview with a correct single-level reference to references/rule.md, but it offers almost no concrete guidance itself — every section is a high-level directive with the specifics deferred — and it carries redundant Quick Reference content and a background-knowledge intro.

Suggestions

Replace the high-level directives with concrete inline steps, e.g., 'curl the live URL and diff the rendered DOM against the source template', 'check the article byline and fact-check dates in the rendered HTML', or 'verify structured data with the Rich Results Test' — the body currently gives no executable method at all.

Cut the Quick Reference section (it duplicates Check/Fix) and the opening sentence about search engine priorities, which Claude already knows.

Add a validation checkpoint after the Fix step, such as re-inspecting the rendered page and confirming no conflicting canonical/robots/structured-data signals before marking the rule satisfied.

DimensionReasoningScore

Conciseness

The body is short and mostly lean, but the opening sentence ('Search engines prioritize helpful, reliable, people-first content; unedited AI content often lacks the depth and accuracy required for high rankings') explains what Claude already knows, and the Quick Reference bullets substantially duplicate the Check and Fix sections.

3 / 5

Actionability

Guidance stays at the hint level — 'Review the content to see if it provides unique value', 'Rewrite AI-generated sections to include original research', 'Flag exact routes or templates' — with no concrete steps for how to inspect rendered HTML, check response headers, or evaluate originality; all specifics are deferred to references/rule.md.

2 / 5

Workflow Clarity

The Check → Fix → Explain → Code Review sections give a recognizable sequence, but there are no validation checkpoints (e.g., verifying the rendered page after a fix or confirming no conflicting structured-data signals), matching 'steps listed but validation gaps'.

3 / 5

Progressive Disclosure

A short, well-sectioned overview body points to a single one-level-deep reference ('For full implementation details, code examples, and framework-specific guidance, see references/rule.md' — the file exists), though the pointer is tacked on below a trailing '---' divider rather than integrated into the relevant sections.

4 / 5

Total

12

/

20

Passed

Description

71%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 has an explicit trigger clause and a reasonable set of concrete SEO actions, but it reads like template concatenation: the capability statement is jammed into the when-clause and the leading trigger terms are generic SEO-audit terms that create real overlap risk with sibling SEO skills.

Suggestions

Restructure so the 'what' is a standalone capability sentence first (e.g., 'Audits and refines AI-generated content for accuracy, unique value, and human voice.') followed by a distinct 'Use when...' trigger clause.

Make the trigger terms specific to AI content (e.g., 'AI-written content', 'unedited AI drafts', 'content originality review') rather than the generic 'metadata, crawlability, structured data, indexability' prefix shared by other SEO skills.

Smooth the grammatical seam in 'indexability related to Audit and refine AI-generated content' — the mid-sentence capitalized verb phrase reads as unedited template text.

DimensionReasoningScore

Specificity

Names several concrete actions ('auditing metadata, crawlability, structured data, or indexability', 'Verify the rendered HTML and HTTP response rather than relying only on source files'), though the core capability 'Audit and refine AI-generated content' is only named, leaving minor gaps in coverage of the refine side.

4 / 5

Completeness

An explicit 'Use when auditing...' clause answers 'when', and a what is present ('Audit and refine AI-generated content' plus the verification action), but the what is awkwardly embedded inside the when-clause rather than stated as a clear capability, so it is not fully explicit.

4 / 5

Trigger Term Quality

Good coverage of natural SEO terms ('metadata', 'crawlability', 'structured data', 'indexability', 'AI-generated content', 'rendered HTML', 'HTTP response'), but common variations like 'SEO', 'AI-written content', or 'search rankings' are missing.

4 / 5

Distinctiveness Conflict Risk

The lead triggers ('auditing metadata, crawlability, structured data, or indexability') are generic SEO-audit terms that overlap with sibling SEO rule skills; only the tail phrase 'related to Audit and refine AI-generated content' distinguishes it, so a generic structured-data or metadata request could fire this skill.

3 / 5

Total

15

/

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.

Validation — 15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

metadata_version

'metadata.version' is missing

Warning

Total

15

/

16

Passed

Repository

thedaviddias/Front-End-Checklist

Path

skills/ai-content/SKILL.md

Reviewed

Table of Contents

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