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unslop

Removes AI tells from prose: puffery, AI vocabulary, em dashes, hedging, filler and abstract metaphor nouns. Use when writing or editing prose a person reads: docs, README files, PR descriptions, commit messages, changelogs, release notes.

Quality

95%

Does it follow best practices?

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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.

An exceptionally tight, actionable editing checklist: every pattern carries a concrete example and fix, the workflow includes a self-audit feedback loop, and nothing wastes tokens explaining what Claude already knows. The only structural note is that the full 31-pattern catalog lives inline in a ~76-line body with no external references, which is reasonable but sits just past the size where a split would be clearly unnecessary.

DimensionReasoningScore

Conciseness

The body is a dense catalog where every entry pairs a quoted example with a concrete fix ("'In order to' is 'To'", "Substrate is 'base'") and assumes Claude's competence, explaining nothing the model already knows. Longer entries (em dashes, inline-header lists, say-what-it-does) elaborate only to clarify edge cases, so every token earns its place — matching anchor 5 rather than the trimmable over-explanation of anchor 4.

5 / 5

Actionability

As an instruction-only skill it provides fully concrete guidance: 31 numbered patterns each with example phrases and specific replacements ("'utilize' is 'use'", "'queries are validated' is 'the compiler validates queries'"), plus directive soul-adding rules with examples. Per the scoring notes, the absence of code is not penalized when guidance is this actionable, matching anchor 5.

5 / 5

Workflow Clarity

The Process section gives a clear sequence (scan, rewrite while preserving meaning, add soul, self-audit) with an explicit validation step ("Self-audit: 'what makes this obviously AI generated?'") and a feedback loop ("Fix what is left"), and the numbered pattern list itself serves as a checklist. This matches anchor 5; the destructive/batch cap does not apply since this is non-destructive prose editing.

5 / 5

Progressive Disclosure

The single file is well-organized into thematic sections (Content, Language, Style, Communication artifacts, Filler, Jargon, Plain speech) and no bundle files exist, but the body runs about 76 lines with the entire pattern catalog inlined, exceeding the under-50-line carve-out that would let a self-contained skill score 5 on organization alone. Structure is good and content is appropriately placed for a compact skill, with only a minor question of whether the long vocabulary/jargon lists belong in a reference — matching anchor 4.

4 / 5

Total

19

/

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 description that explicitly states what it does and when to use it, with a rich set of natural trigger terms across document types. Its only weaknesses are incomplete enumeration of the pattern categories it handles and a broad prose-editing trigger that could overlap with general writing skills.

DimensionReasoningScore

Specificity

Lists six concrete targets ("puffery, AI vocabulary, em dashes, hedging, filler and abstract metaphor nouns") in third-person voice, but omits categories the body covers (chatbot phrases, sycophantic tone, title case, curly quotes), leaving minor gaps in coverage. It exceeds the 1-2 actions of anchor 3 but is not the comprehensive coverage of anchor 5.

4 / 5

Completeness

Explicitly answers both what ("Removes AI tells from prose: puffery, AI vocabulary, em dashes, hedging, filler and abstract metaphor nouns") and when ("Use when writing or editing prose a person reads: docs, README files, PR descriptions, commit messages, changelogs, release notes") with concrete trigger phrases. Both clauses are present and specific, matching anchor 5.

5 / 5

Trigger Term Quality

Covers natural terms users would actually say: "docs, README files, PR descriptions, commit messages, changelogs, release notes" plus "prose", "writing", "editing", and "AI" itself, spanning multiple synonyms and artifact types. This matches the comprehensive, synonym-inclusive coverage of the anchor 5 example.

5 / 5

Distinctiveness Conflict Risk

The niche (removing AI tells from prose) is clear and distinctive, but the trigger "writing or editing prose a person reads" would fire on nearly any documentation task, creating minor overlap with general writing/editing skills. Mostly distinct with minor overlap risk matches anchor 4 rather than the minimal-conflict profile of anchor 5.

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

Path

src/orchestrator/skills/unslop/SKILL.md

Reviewed

Table of Contents

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