linkedin-humanizer

仓库创建 2026年4月15日最近提交 4 天前SkillHot 收录 20 天前

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分级规则可调，适合平衡真实性与风格的写作

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审查并重写草稿以去除AI痕迹并符合LinkedIn算法规则

审查并重写草稿以去除 AI 痕迹并符合 2026 年的 LinkedIn 算法偏好，既能做纯检测（audit）也能分层重写（法医级、严格或美学级）。适合发帖前做最后把关或检测潜在的格式/语言惩罚时用。还会结合多种检测器和规则解释，让你知道哪里被改动、为什么要改。

▸ 展开 SKILL.md 英文原文

Scrub AI tells from any text draft OR audit a finished post against the 2026 algorithm heuristic checklist. Tier-based rewriter (forensic / strict / aesthetic / all) plus `--mode audit` for detection-only pass-fail review covering length, hook, CTA, format penalties, AI vocab. Sub-tools: emoji-pattern detector, multi-detector spread tester (GPTZero, Originality.ai, ZeroGPT, Sapling, Copyleaks), rule explainer. Triggers on "humanize", "de-AI", "review this draft", "audit before posting", "is this ready".

内容创作去AI痕迹审核重写LinkedIn优化通用

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# LinkedIn Humanizer V2

Rewrites any text to remove AI tells. Based on Wikipedia's "Signs of AI writing" taxonomy plus 2026 LinkedIn-specific patterns. **V2 (2026-04-27):** rules now split into 3 tiers so you can pick which signals you trust.

## What changed in V2

The previous version applied every rule equally. We learned that some rules catch real AI output and some catch good human writing. So:

- **Forensic** rules catch real AI signals nobody else produces. Always on.
- **Strict** rules catch corporate-speak that's bad style regardless of who wrote it. On by default.
- **Aesthetic** rules catch patterns that AI uses but humans also use legitimately (em dashes, rule of three, "robust"

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