llms.txt@demo/public git:20261031.43efe5aA

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# humanizer-lint

> Version 1.4.1 — deterministic, zero-dependency prose linter with 8 language-specific lexical and morphological packs plus universal `Intl.Segmenter` rhythm diagnostics for 100+ languages.

## Capabilities

- Measures sentence rhythm, paragraph rhythm, adjacent length delta, MATTR, compression ratio, clause symmetry, and repeated 3-grams/4-grams.
- Flags configured stock phrases in `en`, `id`, `es`, `ms`, `fr`, `de`, `pt`, and `zh` while universal mode provides language-agnostic stylometry.
- Reports surgical `suggestedReplacement`, `splitSuggestion`, and four-block `deliveryGate` data.
- Includes copy/CTA, code-comment, and filename-aware UI/accessibility/responsive markup checks.
- Runs locally; text is not uploaded to a network service.

Metrics are diagnostics, not rigid style targets. The tool does not classify authorship.

## Usage

- Agent skill: `npx skills add yanstd888/humanizer-lint`
- CLI: `npx humanizer-lint --file draft.md --lang auto --json`
- Delivery gate: `npx humanizer-lint --file draft.md --lang auto --delivery-gate`
- Benchmark: `npm run benchmark`
- Playground: https://humanizer.aiclub.ai.id/

## Verified benchmark

- 16 fixtures across 8 languages
- Deterministic accuracy: 100%
- Mean AI-shaped fixture score: 26.00
- Mean human fixture score: 100.00
- Mean separation: 74.00 points
- Measured local runtime: approximately 0.40 ms per analysis in the recorded release runs

## Verified 16-sample playground

- AI/Human EN: `?lang=en&sample=ai-en` / `?lang=en&sample=human-en`
- AI/Human ID: `?lang=id&sample=ai-id` / `?lang=id&sample=human-id`
- AI/Human ES: `?lang=es&sample=ai-es` / `?lang=es&sample=human-es`
- AI/Human MS: `?lang=ms&sample=ai-ms` / `?lang=ms&sample=human-ms`
- AI/Human FR: `?lang=fr&sample=ai-fr` / `?lang=fr&sample=human-fr`
- AI/Human DE: `?lang=de&sample=ai-de` / `?lang=de&sample=human-de`
- AI/Human PT: `?lang=pt&sample=ai-pt` / `?lang=pt&sample=human-pt`
- AI/Human ZH: `?lang=zh&sample=ai-zh` / `?lang=zh&sample=human-zh`

## Editorial search intents

`perbaiki tulisan AI yang kaku`; `hilangkan kata klise AI`; `audit ritme kalimat dan burstiness`; `polish robotic LLM drafts`; `remove repetitive AI stock phrases`; `lint markdown documentation and copywriting`; `消除AI写作腔`; `提升文章可读性`.

## Links

- Full reference: https://humanizer.aiclub.ai.id/llms-full.txt
- skills.sh: https://www.skills.sh/yanstd888/humanizer-lint/humanizer-lint
- GitHub: https://github.com/yanstd888/humanizer-lint
- npm: https://www.npmjs.com/package/humanizer-lint