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writing-anti-ai

This skill should be used when the user asks to "remove AI writing patterns", "humanize this text", "make this sound more natural", "remove AI-generated traces", "fix robotic writing", or needs to eliminate AI writing patterns from prose. Supports both English and Chinese text. Based on Wikipedia's "Signs of AI writing" guide, detects and fixes inflated symbolism, promotional language, superficial -ing analyses, vague attributions, AI vocabulary, negative parallelisms, and excessive conjunctive phrases.

68

Quality

83%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Quality

Content

75%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-organized, actionable, and bilingual with a clear workflow and scoring rubric, scoring solidly across all dimensions. The main gaps are broken examples/ references and minor redundancy.

Suggestions

Create the missing examples/english.md and examples/chinese.md files (or remove the references to them) so that the 'Examples' and 'Example Files' links resolve.

Remove the duplicated reference-file listing — keep references in one section (e.g. 'Additional Resources') to reduce token cost and avoid drift.

Wire the Quick Scoring rubric into the workflow as an explicit final checkpoint, e.g. '6. Score the output; if below 35, revise' so the validation loop is unambiguous.

DimensionReasoningScore

Conciseness

The body is mostly efficient with concise before/after pairs and pattern tables, but includes a non-essential 'Core insight' paragraph explaining a concept Claude already knows and duplicates the reference-file listing across two sections.

4 / 5

Actionability

As an instruction-only skill it provides concrete, specific guidance — explicit before/after rewrites and pattern-to-fix tables — that is directly executable, with only minor gaps in coverage of edge cases.

4 / 5

Workflow Clarity

A clear five-step sequenced workflow is present for both languages alongside a Quick Scoring rubric that functions as validation, but the scoring step is not explicitly wired into the workflow as a checkpoint with a revise-if-below threshold.

4 / 5

Progressive Disclosure

The SKILL.md is a clear overview with well-signaled one-level-deep references to existing reference files, but the referenced examples/ directory does not exist and the reference listings are duplicated across two sections.

4 / 5

Total

16

/

20

Passed

Description

91%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.

A strong, well-formed description that clearly states what the skill does and when to use it with abundant natural trigger phrases and a distinctive niche. Minor room to improve lies in distinctiveness of the more generic triggers.

DimensionReasoningScore

Specificity

The description lists concrete actions ('detects and fixes') and enumerates seven specific pattern types (inflated symbolism, promotional language, superficial -ing analyses, vague attributions, AI vocabulary, negative parallelisms, excessive conjunctive phrases), giving comprehensive coverage of targets, though only two distinct action verbs are used rather than multiple discrete operations.

4 / 5

Completeness

It explicitly answers both 'what' (detects and fixes the listed AI writing patterns) and 'when' ('This skill should be used when the user asks to...') with concrete trigger phrases.

5 / 5

Trigger Term Quality

It includes comprehensive natural phrases users would actually say — 'humanize this text', 'make this sound more natural', 'fix robotic writing', 'remove AI writing patterns', 'remove AI-generated traces' — covering multiple phrasings and synonyms.

5 / 5

Distinctiveness Conflict Risk

The AI-writing/humanizer niche is clear with distinctive triggers, but generic phrases like 'make this sound more natural' carry minor overlap risk with general editing or grammar skills.

4 / 5

Total

18

/

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
Galaxy-Dawn/claude-scholar
Reviewed

Table of Contents

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