Open-source AI text humanizers and slop detectors — strip 'delve', 'tapestry', em-dash clusters, and other AI tells. Code, prose, and academic modes.
Anti-Slop tools are AI-powered software designed to help developers and teams tackle anti-slop-related tasks more efficiently. These tools are typically published as open-source projects on GitHub and can be integrated into existing workflows via MCP (Model Context Protocol), Claude Skills, or standalone agent frameworks. On Agent Skills Hub, we index 30 quality-scored anti-slop tools across languages including JavaScript, Python, HTML.
In 2026, the AI agent ecosystem is maturing rapidly. Anti-Slop tools can significantly boost development efficiency by automating repetitive tasks, reducing human error, and providing intelligent suggestions. The top 3 tools — taste-skill, humanizer, Humanizer-zh — have earned an average of 4,009 GitHub stars, reflecting strong community validation. 23 of the listed tools come with clear open-source licenses, ensuring freedom to use and modify.
When choosing a anti-slop tool, consider these factors: 1) Community activity — GitHub stars and recent commit frequency indicate reliability; 2) Integration method — check if it supports MCP, Claude, or your preferred agent framework; 3) Language compatibility — the most common language in this list is JavaScript; 4) Quality score — Agent Skills Hub's composite score evaluates code quality, documentation completeness, and maintenance activity. Our recommendation: start with taste-skill — it ranks highest in both star count and quality score.
Taste-Skill - gives your AI good taste. stops the AI from generating boring, generic slop
Agent skill that removes signs of AI-generated writing from text
```bash
mkdir -p ~/.claude/skills
git clone https://github.com/blader/humanizer.git ~/.claude/skills/humanizer
```Humanizer 的汉化版本，Claude Code Skills，旨在消除文本中 AI 生成的痕迹。
免费本地 AI 文本去痕迹工具 | Chinese AI text detection & humanization. N-gram perplexity analysis, 20+ detection patterns, academic AIGC reduction (知网/维普/万方), 7 style transforms. Zero dependencies, runs locally.
AI writing skill that eliminates detectable AI patterns. Works with Claude Code, Codex, Cursor, Gemini CLI, and 8+ other agents.
A Claude Code skill that removes signs of AI-generated writing from academic medical papers, making them sound more natural and professionally written.
```bash
mkdir -p ~/.claude/skills
git clone https://github.com/matsuikentaro1/humanizer_academic.git ~/.claude/skills/humanizer_academic
```Best static AI text humanizer. Two research-grounded LLM-agnostic skills that make AI writing sound human and relatable. Nine levers, 50+ peer-reviewed sources, 2024-2026 detection literature.
Free open-source AI text humanizer to convert AI-generated content into undetectable, human-like writing. Bypass Turnitin, GPTZero, and all major AI detectors. No sign-up required. Try our unlimited free online tool
text-humanizer is an open-source project designed to convert text generated by AI to its "humanized" version. Bypasses the most of AI detectors such as Turnitin or GPTZero
AI writing pattern detector and rewriter. 43 patterns, 5 voices, 0-100 AI-tell score. Pure Markdown, zero dependencies.
说人话｜中文优先的去 AI 味改写 skill：保事实、分场景、改完可直接发。Chinese-first rewrite skill for Codex / Claude Code / Cursor / ChatGPT — removes AI tone, preserves facts.
去AI味 skill for Codex: a compact Chinese AI writing humanizer for AI味清理, template sentence shells, and fake engagement endings.
Design engineering system for AI coding agents — ship UI with craft-level quality. Install as an agent skill.
Stop your AI from writing like AI. A universal system prompt eliminating every known LLM style tell — works with Claude Code, Gemini CLI, Codex CLI, Copilot, Cursor, and any web AI.
Скилл для ИИ-агентов: убирает следы машинной генерации из русского текста — 37 паттернов и 38 regex-маркеров | Russian AI-writing humanizer skill
German AI Text Humanizer for Claude Code & Codex. Audits 72 German AI-writing patterns using deterministic linters and evidence-safe rewrites. No fact-bending, no bypassing tricks.
「說人話」：繁體中文的去 AI 味改寫 skill。抓 38 種 AI 寫作痕跡，順手校正中國用語與半形標點，給 Claude Code / Codex / Cursor 用。
Скилл для Claude. Убирает 54 признака нейросети в русском тексте: канцелярит, кальки, фингерпринты ChatGPT и Claude. Метит в то, что меряют GPTZero, DivEye, RuBERT: поднимает perplexity и burstiness. 20 жёстких банов, quad-pass аудит, калибровка под голос автора.
Skill для AI-агентов (Claude Code, Codex, OpenClaw, Hermes): убирает 37 признаков AI-генерации из русского текста и проверяет, писала ли его нейросеть - канцелярит, штампы ChatGPT, артефакты копипаста | Russian AI-text humanizer & detector skill for coding agents
모두의 AI (MoAI) — Claude Cowork & Claude Code 한국 실무 도메인 AI 하네스·플러그인 마켓플레이스. 사업계획서·세무·법률·HR·마케팅·커머스·BI·콘텐츠 도메인 스킬·에이전트·워크플로우. Korean B2B + office docs (HWPX/DOCX/XLSX/PPTX/PDF) + AI media (image/video/voice). AI-slop 검수 + humanize-korean 내장.
去 AI 味：去除简体中文 AI 写作痕迹 / Chinese humanizer skill
Strip AI-writing tells from papers and grant proposals (NSF/NIH), while keeping scholarly voice and tying claims to evidence. A skill for Claude Code, Codex, and MorphMind.
A free detector capable of identifying content generated by all advanced AI models.
Skill that audits and rewrites content to remove AI writing patterns. Use it with your favorite agents including Claude Code, OpenClaw, and Hermes.
Don't trust an autoresearch paper at face value. Reviewer-side integrity forensics (self-consistency + fabrication), deterministic verdict. 61 signals: 46 integrity hack-patterns (families A–H, verdict-bearing) + 13 zero-weight AI writing-style impressions (AIS) + 2 advisory. Not an opaque AI-text classifier. The dual of ARIS.
An AI writing skill that turns agent-generated drafts into clearer, warmer, more human documents by removing templated phrasing, markdown clutter, and generic AI tone.
State Machine definitions for Agentic AI patterns including tool use, reflection, collaboration, human-in-the-loop, machine generation, and more.
AIGC 检测论文 AI 降率工具 - Claude Code Skill for academic paper AI detection and rewriting
| Tool | Stars | Language | License | Score |
|---|---|---|---|---|
| taste-skill | ★ 66.8k | JavaScript | MIT | 84 |
| humanizer | ★ 30.3k | Python | MIT | 89 |
| Humanizer-zh | ★ 13.9k | — | MIT | 64 |
| humanize-chinese | ★ 305 | Python | — | 57 |
| anti-ai-slop-writing | ★ 91 | — | — | 65 |
| humanizer_academic | ★ 134 | — | — | 66 |
| humanize | ★ 208 | HTML | MIT | 70 |
| humanize-text | ★ 1.5k | Python | MIT | 69 |
| text-humanizer | ★ 492 | Python | MIT | 81 |
| humanizer-skill | ★ 118 | JavaScript | MIT | 72 |
| shuorenhua | ★ 816 | Python | MIT | 66 |
| remove-ai-flavor-writing-skill | ★ 78 | Python | MIT | 67 |
| ui-craft | ★ 214 | Go | MIT | 63 |
| anti-slop-writing | ★ 92 | — | MIT | 71 |
| patina | ★ 269 | JavaScript | MIT | 64 |
| humanizer-ru | ★ 80 | Python | MIT | 68 |
| humanizer-de | ★ 67 | Python | — | 69 |
| speak-human-tw | ★ 703 | Python | MIT | 70 |
| humanizer-ru | ★ 168 | Python | MIT | 71 |
| humanizer-ru | ★ 105 | Python | MIT | 66 |
| cowork-plugins | ★ 222 | HTML | — | 55 |
| qu-ai-wei | ★ 206 | Shell | MIT | 70 |
| academic-humanizer | ★ 127 | — | — | 74 |
| ai-text-detector | ★ 236 | Python | MIT | 78 |
| avoid-ai-writing | ★ 2.6k | JavaScript | MIT | 76 |
| slop-guard | ★ 150 | Python | MIT | 64 |
| Anti-Autoresearch | ★ 97 | Python | MIT | 70 |
| anti-vibe-writing | ★ 96 | — | MIT | 67 |
| AgenticStateMachines | ★ 98 | TypeScript | — | 45 |
| AIGC-Detector-Pro | ★ 75 | Python | MIT | 53 |
The top anti-slop tools in 2026 are taste-skill, humanizer, Humanizer-zh. Agent Skills Hub ranks 30 options by GitHub stars, quality score (6 dimensions including completeness, examples, and agent readiness), and recent activity. The list is rebuilt every 8 hours from live GitHub data.
taste-skill (66.8k stars) is the most adopted choice for general anti-slop workflows, written in JavaScript. humanizer (30.3k stars) is a strong alternative and uses Python instead. Pick by your existing stack: match the language and runtime your team already uses to minimize integration cost. If unsure, start with taste-skill — it has the deepest community and the most examples online.
Avoid pre-built anti-slop tools when (1) your use case requires deep customization that the tool's plugin system doesn't support, (2) you have strict compliance requirements that ban third-party dependencies, (3) the tool's maintenance is inactive (last commit >6 months ago), or (4) your data volume is small enough that a 50-line custom script is cheaper than learning the tool. For most production workflows above 100 requests/day, the time savings from a maintained tool outweigh the customization loss.
For most teams, yes. taste-skill has 66.8k stars worth of community testing, handles edge cases you haven't thought of, and ships with documentation. Build your own only when (1) your requirements are deeply non-standard, (2) you have a security/compliance reason to avoid OSS dependencies, or (3) the maintenance burden is small enough (<200 lines of code) that you'll save time long-term. The break-even point is usually around 2-3 weeks of dev time saved.
Most anti-slop tools listed are open source under permissive licenses (MIT, Apache 2.0). A handful offer paid managed/cloud versions on top of free self-hosted core. Always check the LICENSE file on each tool's GitHub repository before commercial use — some use AGPL or non-commercial restrictions that may not fit your deployment model.