stop-slop
AI生成テキストにおける予測可能な記述パターンと冗長な内容を排除し、より自然で簡潔、高品質な出力を実現します。
npx skills add https://github.com/hardikpandya/stop-slop --skill stop-slopBefore / After 効果比較
1 组AIが生成したテキストには、繰り返しパターンやフィラーワードが頻繁に含まれ、内容が単調になりがちです。
AIライティングの定型文を排除し、テキストをより自然で洗練されたものにし、読書体験を向上させます。
stop-slop
Stop Slop
Eliminate predictable AI writing patterns from prose.
Core Rules
Cut filler phrases. Remove throat-clearing openers, emphasis crutches, and all adverbs. See references/phrases.md.
Break formulaic structures. Avoid binary contrasts, negative listings, dramatic fragmentation, rhetorical setups, false agency. See references/structures.md.
Use active voice. Every sentence needs a human subject doing something. No passive constructions. No inanimate objects performing human actions ("the complaint becomes a fix").
Be specific. No vague declaratives ("The reasons are structural"). Name the specific thing. No lazy extremes ("every," "always," "never") doing vague work.
Put the reader in the room. No narrator-from-a-distance voice. "You" beats "People." Specifics beat abstractions.
Vary rhythm. Mix sentence lengths. Two items beat three. End paragraphs differently. No em dashes.
Trust readers. State facts directly. Skip softening, justification, hand-holding.
Cut quotables. If it sounds like a pull-quote, rewrite it.
Quick Checks
Before delivering prose:
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Any adverbs? Kill them.
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Any passive voice? Find the actor, make them the subject.
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Inanimate thing doing a human verb ("the decision emerges")? Name the person.
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Sentence starts with a Wh- word? Restructure it.
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Any "here's what/this/that" throat-clearing? Cut to the point.
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Any "not X, it's Y" contrasts? State Y directly.
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Three consecutive sentences match length? Break one.
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Paragraph ends with punchy one-liner? Vary it.
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Em-dash anywhere? Remove it.
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Vague declarative ("The implications are significant")? Name the specific implication.
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Narrator-from-a-distance ("Nobody designed this")? Put the reader in the scene.
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Meta-joiners ("The rest of this essay...")? Delete. Let the essay move.
Scoring
Rate 1-10 on each dimension:
Dimension Question
Directness Statements or announcements?
Rhythm Varied or metronomic?
Trust Respects reader intelligence?
Authenticity Sounds human?
Density Anything cuttable?
Below 35/50: revise.
Examples
See references/examples.md for before/after transformations.
License
MIT Weekly Installs238Repositoryhardikpandya/stop-slopGitHub Stars852First SeenJan 20, 2026Security AuditsGen Agent Trust HubPassSocketPassSnykPassInstalled onopencode213gemini-cli203codex200claude-code191github-copilot124cursor114
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