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avoid-ai-writing

Audit and rewrite content to remove AI writing patterns ("AI-isms"). Use this skill when asked to "remove AI-isms," "clean up AI writing," "edit writing for AI patterns," "audit writing for AI tells," or "make this sound less like AI." Supports a detect-only mode, an edit-in-place mode for files, an optional voice profile (casual / professional / technical / warm / blunt), and an iterate-to-convergence pass.

70

Quality

88%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

77%

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

The body is highly actionable with concrete rules, thresholds, and explicit feedback loops in its workflows. Its main weakness is size: a 683-line monolith with no bundle files and an unresolved internal reference, where progressive disclosure and token budget could both improve.

Suggestions

Split the large word/phrase tier tables and the context-profile tolerance matrix into a reference bundle file (e.g. references/AUDIT_TABLES.md) and keep SKILL.md as a concise overview pointing one level deep.

Resolve the dangling 'detector/CATEGORIES.md' reference by either creating that bundle file or removing the citation.

Consolidate overlapping pattern entries (e.g. em-dash, bold, and structure rules that recur across sections) to trim length without losing actionable detail.

DimensionReasoningScore

Conciseness

Content is dense and free of concept-explaining fluff, but at ~683 lines the single-file body is far longer than the token budget a lean instruction skill needs; several enumerated patterns could be consolidated. It is mostly efficient but materially over-length for the context window.

2 / 3

Actionability

Guidance is concrete throughout — replace/with tables, regex patterns, numeric thresholds (e.g. '6+ hashtags,' '1 per 1,000 words'), and explicit before/after fixes giving copy-ready direction.

3 / 3

Workflow Clarity

Each mode is a clearly numbered sequence, edit mode ends with an explicit 'Verify' re-read step, and rewrite mode has a second-pass audit feedback loop (audit -> fix -> re-check), matching the validation-checkpoint anchor.

3 / 3

Progressive Disclosure

No bundle files exist, yet the 683-line body is monolithic; a passing reference to 'detector/CATEGORIES.md' points at no real file, and content that could be split (word tiers, tolerance matrix) is inline rather than one level deep.

2 / 3

Total

10

/

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 exemplary: it states concrete capabilities, lists natural trigger phrases users would actually say, and explicitly pairs 'what' with 'when' via a Use-when clause. It is distinguishable from other editing skills and uses third-person voice throughout.

DimensionReasoningScore

Specificity

Names multiple concrete actions — 'Audit and rewrite,' 'detect-only mode,' 'edit-in-place mode,' 'voice profile,' 'iterate-to-convergence pass' — matching the multiple-specific-actions anchor.

3 / 3

Completeness

Explicitly states what the skill does ('Audit and rewrite content to remove AI writing patterns') and when to use it via an explicit 'Use this skill when...' clause with concrete triggers.

3 / 3

Trigger Term Quality

Quotes verbatim natural phrases a user would say ('remove AI-isms,' 'clean up AI writing,' 'audit writing for AI tells,' 'make this sound less like AI'), giving strong coverage of real trigger terms.

3 / 3

Distinctiveness Conflict Risk

Occupies a clear niche (AI-ism removal) with distinctive, specific triggers unlikely to fire for unrelated writing skills.

3 / 3

Total

12

/

12

Passed

Validation

75%

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

Validation12 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

skill_md_line_count

SKILL.md is long (684 lines); consider splitting into references/ and linking

Warning

metadata_version

'metadata.version' is missing

Warning

metadata_field

'metadata' should map string keys to string values

Warning

frontmatter_unknown_keys

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

Warning

Total

12

/

16

Passed

Repository
pchalasani/claude-code-tools
Reviewed

Table of Contents

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