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unslop

Removes AI tells from prose: puffery, AI vocabulary, em dashes, inline-header lists, hedging, filler, and abstract metaphor nouns. Use when writing or editing any prose a human reads, including README files, docs, PR descriptions, commit messages, changelogs, release notes, and marketing copy.

75

Quality

92%

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SecuritybySnyk

Passed

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SKILL.md
Quality
Evals
Security

Quality

Content

96%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.

A tight, highly actionable editing skill with a clear four-step process that includes an explicit self-audit feedback loop and a comprehensive pattern checklist. The only minor gap is that the sizeable inline pattern catalog sits just past the simple-skill line count where structure alone would be a perfect score.

DimensionReasoningScore

Conciseness

The body is a lean pattern catalog where each item pairs a quoted example with a concrete fix; it never explains concepts Claude already knows and every line earns its place, even the longer items 26 and 27 which carry substantive concrete guidance.

5 / 5

Actionability

Each of the 31 items is actionable instruction, giving a named pattern, a quoted tell, and a copy-paste-ready rewrite (e.g. "'In order to' is 'To'", "'utilize' is 'use'"), which is fully executable guidance for an instruction-only skill.

5 / 5

Workflow Clarity

The Process section sequences four explicit steps ending in a self-audit feedback loop ("Self-audit: 'what makes this obviously AI generated?' Fix what is left."), and the 31-item catalog functions as a checklist, matching the top anchor.

5 / 5

Progressive Disclosure

Content is well organized into clearly signaled thematic sections (Process, Add soul, Content, Language, Style, etc.) and needs no external references, but at roughly 75 lines it exceeds the under-50-line simple-skill threshold where well-organized sections alone would warrant a 5.

4 / 5

Total

19

/

20

Passed

Description

88%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, specific description that clearly states what it removes and when to use it, with comprehensive pattern coverage and concrete trigger contexts. Its main weakness is the very broad "any prose a human reads" scope, which raises slight overlap risk with general editing skills.

DimensionReasoningScore

Specificity

The description names a concrete action ("Removes AI tells from prose") and enumerates seven specific concrete targets — puffery, AI vocabulary, em dashes, inline-header lists, hedging, filler, and abstract metaphor nouns — giving comprehensive coverage rather than vague language.

5 / 5

Completeness

It explicitly answers both what ("Removes AI tells from prose: ...") and when ("Use when writing or editing any prose a human reads, including ...") with concrete trigger phrases, matching the top anchor.

5 / 5

Trigger Term Quality

Natural trigger contexts are well covered ("README files, docs, PR descriptions, commit messages, changelogs, release notes, and marketing copy"), but it omits common phrasings a user might actually say such as "make this sound less AI" or "humanize this text."

4 / 5

Distinctiveness Conflict Risk

The de-slopping purpose is a distinct niche, but the "any prose a human reads" scope is broad and could overlap with general writing or editing skills, leaving minor conflict risk rather than a fully isolated trigger.

4 / 5

Total

18

/

20

Passed

Validation

100%

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

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
monkilabs/opencastle
Reviewed

Table of Contents

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