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Category
AI Agents
Rank
Pricing
Open Source
Platform
cli
Type
TOOL
Date

About

A skill file that teaches AI models like Claude to identify and remove predictable AI writing patterns, banned phrases, and structural clichés from prose. Helps create more natural, human-sounding text by eliminating common AI tells.

What it does

Stop Slop supplies an editorial rulebook for revising prose. It flags filler, vague claims, canned contrasts, dramatic fragments, passive constructions, false agency, and repetitive rhythm. Writers can apply its checklist during drafting or editing, then assess directness, rhythm, trust, authenticity, and density.

Why it's ranked here

Its value comes from unusually specific guidance rather than a broad request to sound human. The phrase tables, structural diagnoses, replacement advice, and transformations make the rules usable. Its rigid prohibitions also limit the range of prose it can handle without human judgment.

What's good

The guidance explains why patterns fail and often supplies a better approach. It asks writers to name actors, replace vague importance claims with concrete consequences, vary sentence lengths, and remove rhetorical scaffolding. Before-and-after samples make several edits easy to understand and repeat.

Tradeoffs

Several rules overreach. Banning every adverb, every passive construction, every sentence beginning with a question word, and every three-item list can remove useful language. One revised example even contains an em dash despite the explicit prohibition. The scoring rubric also depends on subjective judgments without calibration guidance.

How to use it well

Use it as a second-pass checklist for essays, product writing, and other prose that has grown formulaic. Treat its bans as prompts for inspection, then keep exceptions that serve meaning or voice. It does not provide grammar checking, factual verification, citation support, or automated editing software.

Technical notes+

The repository is a Markdown instruction package rather than executable software. SKILL.md contains the core rules, quick checks, and evaluation rubric. references/phrases.md catalogs wording to remove, references/structures.md describes recurring constructions and alternatives, and references/examples.md supplies transformations. README.md documents use through Claude Code skills, Claude Projects knowledge, custom instructions, and API system prompts. LICENSE grants MIT terms. The provided repository tree shows no tests, package manifest, CLI implementation, library code, or service endpoint.

Observed

License
MIT
Primary format
Markdown instruction and reference documents
Install surface
Folder-based skill, project knowledge upload, copied custom instructions, or system-prompt content
Interfaces
Prompt and skill content; no CLI, library, MCP server, or standalone API implementation shown
Model support
Described for Claude or any LLM that can follow supplied instructions
Repository structure
Core skill document plus phrase, structure, and example references
Testing
No test directory or test files appear in the provided repository tree

Read from README.md, LICENSE, SKILL.md, CHANGELOG.md, references/phrases.md, references/examples.md, references/structures.md.

What it can do

  • Identify predictable AI writing patterns in text

    AI-generated prose textList of detected AI writing patterns and issues

  • Remove banned phrases from AI writing

    Text containing common AI phrasesText with banned phrases eliminated

  • Eliminate structural clichés from prose

    Text with predictable AI structural patternsText with varied, natural structure

  • Score text for AI detectability

    Written text sampleScoring rubric results indicating AI tells

  • Transform AI-generated text to sound more human

    Robotic or formulaic AI writingNatural, human-sounding prose

  • Train AI models to avoid common writing tells

    AI model and skill fileAI model with improved natural writing capabilities

Tags

aiwritingproseclaudellmskilltext-improvement

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Editorially curated, with community endorsements as a secondary signal. Corrections welcome.