humanizer-cli — repository deleted, archived audit

Quick Facts

About humanizer-cli

humanizer 33 ways to spot AI-written text, right in your terminal. No network, no API key, no dependencies. One small C program. npm install -g . humanizer windows x64 · node ≥ 18 · github What this is A terminal reference for the humanizer skill, which collects the patterns catalogued in Wikipedia's Signs of AI writing.

Compatible Skills

These tools work well together with humanizer-cli for enhanced workflows:

• patina — semantic(0.17)+complementary+rare_topics+same_lang+similar_pop+shared_platform (61%)
• code-humanizer — semantic(0.35)+complementary+rare_topics+similar_pop+shared_platform (57%)

humanizer-cli alternative? Top 6 similar tools

Looking for a humanizer-cli alternative? If you're comparing humanizer-cli with other claude skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

• humanize by harshaneel · ⭐ 491

  Best static AI text humanizer. Two research-grounded LLM-agnostic skills that make AI writing sound human and

• claude-codex-settings by fcakyon · ⭐ 1.2k

  Battle-tested Claude Code, OpenAI Codex, Cursor configs, plugins, hooks and agents with Kimi, MiniMax and GLM

• humanizer-de by marmbiz · ⭐ 190

  Deutscher Text-Humanizer für Claude Code & Codex. Redigiert KI-Floskeln, schützt deine Schreibstimme und prüft

• awesome-llm-skills by Prat011 · ⭐ 1.7k

  A curated list of awesome LLM and AI Agent Skills, resources and tools for customising AI Agent workflows - th

• qu-ai-wei by LifelongLazyLearner · ⭐ 547

  去 AI 味：去除简体中文 AI 写作痕迹 / Chinese humanizer skill

• humanizer-ru by ilyautov · ⭐ 517

  humanizer-ru: редактура русского текста для AI-агентов. Убирает канцелярит и шаблонные обороты, сверяет смысл

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

• SlowMist agent-security taxonomy
• Liu et al., An Empirical Study of Agent Skill Security (2026)
• Our census dataset (DOI 10.5281/zenodo.21292799) · Hugging Face mirror
• How we grade: all 42 rules, the source tiers and known limits
• Full methodology & who runs this