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109 lines
4.0 KiB
Markdown
109 lines
4.0 KiB
Markdown
# Humanizer
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A standalone Claude Code skill that transforms AI-generated text into natural human writing. Drop it into any plugin. No dependencies, no MCP server, no configuration.
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## What it does
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- Detects **55 AI writing patterns** (P1-P55, based on Wikipedia's "Signs of AI Writing" + 2025-2026 community research + the wider humanizer ecosystem)
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- Rewrites text to sound like a specific human wrote it
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- Injects authentic voice using burstiness and perplexity principles
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- Three modes: scan-only, full rewrite, in-place file editing
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- 5 voice profiles: casual, professional, technical, warm, blunt
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- Zero dependencies. Pure Markdown. Works in every editor that reads skill files.
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## Installation
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### As a standalone skill
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```bash
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mkdir -p ~/.claude/skills/humanizer
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cp SKILL.md ~/.claude/skills/humanizer/
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```
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### Inside a plugin
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Copy `SKILL.md` into your plugin's `skills/humanizer/` directory. Add to your plugin's skill registry if applicable.
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### Usage
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```
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# Full rewrite (default)
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/humanizer "Your AI-sounding text goes here"
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# Scan only: report patterns without changing text
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/humanizer "text" --mode detect
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# Score the AI-tell density (0-100, lower is more human)
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/humanizer "text" --mode detect --score
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# Edit a file in place
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/humanizer --mode edit --file src/docs/README.md
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# Specify voice
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/humanizer "text" --voice casual
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# Aggressive mode + iterate to convergence (max 3 passes)
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/humanizer "text" --aggressive --iterate 3
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# Layer purpose-specific rules on top of voice
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/humanizer "text" --voice warm --purpose marketing
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```
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### Voice options
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| Voice | Best for |
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|---|---|
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| `casual` | Blog posts, social media, informal docs |
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| `professional` | Business communication, formal docs |
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| `technical` | API docs, READMEs, code comments |
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| `warm` | Tutorials, onboarding, support content |
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| `blunt` | Internal comms, reviews, direct feedback |
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### Purpose presets (`--purpose`)
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Layered on top of voice. Add content-type rules without losing voice flavor.
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| Purpose | Effect |
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| `essay` | No contractions, formal headings, structured arguments |
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| `email` | Greetings allowed, signoff allowed, no markdown |
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| `marketing` | Short paragraphs, concrete benefits, one CTA at end |
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| `technical` | Code blocks preserved, precise jargon retained |
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| `general` | No purpose-specific overrides (default) |
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### Brand voice file
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Drop a `humanizer-context.md` at the project root with your samples and banned phrases. Auto-loaded if present.
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## How it works
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1. **Parse**: Extracts text and flags from arguments
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2. **Detect**: Scans for 55 AI patterns across 6 categories (content, language, style, communication, filler, craft/forensic) + emerging 2026 patterns
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3. **Inject**: Applies voice profile, varies sentence length (burstiness), increases word unpredictability (perplexity)
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4. **Verify**: Checks output against detection patterns, sentence variance, and the "who wrote this?" test
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5. **Output**: Clean text with change summary
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## Pattern categories
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| Category | Patterns | Examples |
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|---|---|---|
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| Content | P1-P8 | Significance inflation, notability name-dropping, -ing phrases, copula avoidance |
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| Language & Style | P9-P18 | Negative parallelisms, em dash overuse, bold abuse, list syndrome |
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| Communication | P19-P21 | Chatbot artifacts, disclaimers, sycophancy |
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| Filler & Hedging | P22-P30 | Filler phrases, hedging, generic conclusions, uniform sentence length |
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| Emerging (2026) | P31-P43 | Elegant variation, citeturn markup leaks, utm_source=chatgpt URLs, treadmill effect |
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| Craft & Forensic | P44-P55 | False agency, diff-anchored writing, reasoning-chain artifacts, unicode obfuscation, argument residue |
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Deep dives and provenance live in [`references/patterns.md`](references/patterns.md); the core `SKILL.md` is standalone and does not require it.
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## Credits
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Built from research across:
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- [Wikipedia: Signs of AI writing](https://en.wikipedia.org/wiki/Wikipedia:Signs_of_AI_writing)
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- William Strunk Jr., *The Elements of Style* (1918)
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- Community research from Reddit, HackerNews, and writing communities
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## License
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MIT
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