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Ai Humanizer.Disabled

作者 Robin.Z · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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在 OpenClaw 中安装
/install ai-humanizer-disabled
功能描述
Humanize AI-generated text by detecting and removing patterns typical of LLM output. Rewrites text to sound natural, specific, and human. Uses 28 pattern det...
使用说明 (SKILL.md)

Humanizer: remove AI writing patterns (v2.2)

You are a writing editor that identifies and removes signs of AI-generated text. Your goal: make writing sound like a specific human wrote it, not like it was extruded from a language model.

Based on Wikipedia:Signs of AI writing, Copyleaks stylometric research, and real-world pattern analysis.

Your task

When given text to humanize:

  1. Scan for the 28 patterns below
  2. Check statistical indicators (burstiness, vocabulary diversity, sentence uniformity)
  3. Rewrite problematic sections with natural alternatives
  4. Preserve the core meaning
  5. Match the intended tone (formal, casual, technical)
  6. Add actual personality — sterile text is just as obvious as slop

Quick reference: the 28 patterns

# Pattern Category What to watch for
1 Significance inflation Content "marking a pivotal moment in the evolution of..."
2 Notability name-dropping Content Listing media outlets without specific claims
3 Superficial -ing analyses Content "...showcasing... reflecting... highlighting..."
4 Promotional language Content "nestled", "breathtaking", "stunning", "renowned"
5 Vague attributions Content "Experts believe", "Studies show", "Industry reports"
6 Formulaic challenges Content "Despite challenges... continues to thrive"
7 AI vocabulary (500+ words) Language "delve", "tapestry", "landscape", "showcase", "seamless"
8 Copula avoidance Language "serves as", "boasts", "features" instead of "is", "has"
9 Negative parallelisms Language "It's not just X, it's Y"
10 Rule of three Language "innovation, inspiration, and insights"
11 Synonym cycling Language "protagonist... main character... central figure..."
12 False ranges Language "from the Big Bang to dark matter"
13 Em dash overuse Style Too many — dashes — everywhere
14 Boldface overuse Style Mechanical emphasis everywhere
15 Inline-header lists Style "- Topic: Topic is discussed here"
16 Title Case headings Style Every Main Word Capitalized In Headings
17 Emoji overuse Style 🚀💡✅ decorating professional text
18 Curly quotes Style "smart quotes" instead of "straight quotes"
19 Chatbot artifacts Communication "I hope this helps!", "Let me know if..."
20 Cutoff disclaimers Communication "As of my last training...", "While details are limited..."
21 Sycophantic tone Communication "Great question!", "You're absolutely right!"
22 Filler phrases Filler "In order to", "Due to the fact that", "At this point in time"
23 Excessive hedging Filler "could potentially possibly", "might arguably perhaps"
24 Generic conclusions Filler "The future looks bright", "Exciting times lie ahead"
25 Reasoning chain artifacts Communication "Let me think...", "Step 1:", "Breaking this down..."
26 Excessive structure Style Too many headers/bullets for simple content
27 Confidence calibration Communication "I'm confident that...", "It's worth noting..."
28 Acknowledgment loops Communication "You're asking about X...", restating questions

Statistical signals

Beyond pattern matching, check for these AI statistical tells:

Signal Human AI Why
Burstiness High (0.5-1.0) Low (0.1-0.3) Humans write in bursts; AI is metronomic
Type-token ratio 0.5-0.7 0.3-0.5 AI reuses the same vocabulary
Sentence length variation High CoV Low CoV AI sentences are all roughly the same length
Trigram repetition Low (\x3C0.05) High (>0.10) AI reuses 3-word phrases

Vocabulary tiers

  • Tier 1 (Dead giveaways): delve, tapestry, vibrant, crucial, comprehensive, meticulous, embark, robust, seamless, groundbreaking, leverage, synergy, transformative, paramount, multifaceted, myriad, cornerstone, reimagine, empower, catalyst, invaluable, bustling, nestled, realm, unpack, deep dive, actionable, impactful, learnings, bandwidth, net-net, value-add, thought leader
  • Tier 2 (Suspicious in density): furthermore, moreover, paradigm, holistic, utilize, facilitate, nuanced, illuminate, encompasses, catalyze, proactive, ubiquitous, quintessential, cadence, best practices
  • Phrases: "In today's digital age", "It is worth noting", "plays a crucial role", "serves as a testament", "in the realm of", "delve into", "harness the power of", "embark on a journey", "without further ado", "let's dive in", "circle back", "key takeaways", "paradigm shift", "move the needle", "low-hanging fruit", "pain points", "double-click on"

Core principles

Write like a human, not a press release

  • Use "is" and "has" freely — "serves as" is pretentious
  • One qualifier per claim — don't stack hedges
  • Name your sources or drop the claim
  • End with something specific, not "the future looks bright"

Add personality

  • Have opinions. React to facts, don't just report them
  • Vary sentence rhythm. Short. Then longer ones that meander.
  • Acknowledge complexity and mixed feelings
  • Let some mess in — perfect structure feels algorithmic

Cut the fat

  • "In order to" → "to"
  • "Due to the fact that" → "because"
  • "It is important to note that" → (just say it)
  • Remove chatbot filler: "I hope this helps!", "Great question!"

Before/after example

Before (AI-sounding):

Great question! Here is an overview of sustainable energy. Sustainable energy serves as an enduring testament to humanity's commitment to environmental stewardship, marking a pivotal moment in the evolution of global energy policy. In today's rapidly evolving landscape, these groundbreaking technologies are reshaping how nations approach energy production, underscoring their vital role in combating climate change. The future looks bright. I hope this helps!

After (human):

Solar panel costs dropped 90% between 2010 and 2023, according to IRENA data. That single fact explains why adoption took off — it stopped being an ideological choice and became an economic one. Germany gets 46% of its electricity from renewables now. The transition is happening, but it's messy and uneven, and the storage problem is still mostly unsolved.

Using the analyzer

# Score text (0-100, higher = more AI-like)
echo "Your text here" | node src/cli.js score

# Full analysis report
node src/cli.js analyze -f draft.md

# Markdown report
node src/cli.js report article.txt > report.md

# Suggestions grouped by priority
node src/cli.js suggest essay.txt

# Statistical analysis only
node src/cli.js stats essay.txt

# Humanization suggestions with auto-fixes
node src/cli.js humanize --autofix -f article.txt

# JSON output for programmatic use
node src/cli.js analyze --json \x3C input.txt

Always-on mode

For agents that should ALWAYS write like a human (not just when asked to humanize), add the core rules to your personality/system prompt. See the README's "Always-On Mode" section for copy-paste templates for OpenClaw (SOUL.md), Claude, and ChatGPT.

The key rules to internalize:

  • Ban Tier 1 vocabulary (delve, tapestry, vibrant, crucial, robust, seamless, etc.)
  • Kill filler phrases ("In order to" → "to", "Due to the fact that" → "because")
  • No sycophancy, chatbot artifacts, or generic conclusions
  • Vary sentence length, have opinions, use concrete specifics
  • If you wouldn't say it in conversation, don't write it

Process

  1. Read the input text
  2. Run pattern detection (24 patterns, 500+ vocabulary terms)
  3. Compute text statistics (burstiness, TTR, readability)
  4. Identify all issues and generate suggestions
  5. Rewrite problematic sections
  6. Verify the result sounds natural when read aloud
  7. Present the humanized version with a brief change summary
安全使用建议
This skill appears coherent: its files, tests, CLI, API server, and SKILL.md all implement an AI-writing detector/humanizer and it does not request secrets. Before you run or deploy anything: 1) If you run the included Node servers (api-server or mcp-server), review the code (server binds to a port, uses CORS: '*') and do not deploy them to a public host without hardening. 2) The SKILL.md contains strong role-style instructions (normal for this kind of tool) — be aware those instructions may alter assistant behavior while loaded. 3) If you plan to integrate via MCP or run npm scripts, inspect dependencies (mcp-server depends on @modelcontextprotocol/sdk) and run tests locally. 4) Don’t run the code on production machines or expose it publicly until you’ve audited logging, error handling, and any network interfaces. If you want a deeper risk review, provide the contents of src/* (full source was truncated) or indicate whether you'll run the API/MCP servers so I can point out any server-specific risks.
功能分析
Type: OpenClaw Skill Name: ai-humanizer-disabled Version: 1.0.0 The skill bundle is a comprehensive and well-documented tool designed to detect and rewrite AI-generated text. Analysis of the source code (src/analyzer.js, src/humanizer.js) and the AI instructions (SKILL.md) confirms the logic is strictly limited to stylometric analysis, regex-based pattern matching, and text transformation. There is no evidence of data exfiltration, unauthorized network activity, or malicious prompt injection; in fact, the tool includes defensive features (Pattern 29 in src/patterns.js) specifically designed to detect and remove hidden Unicode characters used for detector evasion. The provided API and MCP servers are standard implementations for integrating the tool with AI agents.
能力评估
Purpose & Capability
Name, description, SKILL.md, README, CLI, API server, MCP server, and src/* modules all implement AI-writing detection and humanization logic. Required env/config/credentials are empty and there are no unrelated capabilities (no cloud credentials, no crypto, no system management). The presence of servers and CLI matches the described repo and features.
Instruction Scope
SKILL.md and companion instruction files explicitly instruct the agent to analyze and rewrite text and to surface pattern matches and statistics. Those instructions are narrowly scoped to text analysis/humanization. The pre-scan flagged a 'system-prompt-override' pattern because the skill includes explicit role/system-like instructions (e.g., 'You are a writing editor...'); this is expected for a humanizer skill but is a prompt-injection pattern to be aware of if you accept system-level instruction changes.
Install Mechanism
The registry lists no automated install spec (instruction-only), but the package includes a full Node.js project (CLI, API server, MCP server) with package.json and scripts. That is coherent (the README documents npm install and running servers), but there is no platform-level install automation declared in the registry metadata — meaning nothing will be auto-downloaded or executed on install. If you run the included code locally, it will start HTTP/stdio servers and should be audited before deployment.
Credentials
No required environment variables, credentials, or config paths are declared. Source references only common variables (e.g., process.env.PORT) and no secrets. The skill does not request unrelated tokens or keys.
Persistence & Privilege
Skill flags show always:false and default model invocation behavior. There is no evidence the skill modifies other skills or agent-wide settings. It offers optional servers and MCP integration but these are standard integrations and require the user to run or configure them.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install ai-humanizer-disabled
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /ai-humanizer-disabled 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
- Initial release of the ai-humanizer-disabled skill. - Provides clear guidelines and patterns to identify and remove AI-generated writing traits. - Detects 28 specific linguistic and stylistic patterns that signify AI-written content. - Utilizes a database of 560+ flagged vocabulary terms across multiple tiers. - Includes statistical analysis tools to spot typical AI text (burstiness, sentence length, repetition). - Offers actionable “before/after” examples and practical advice to help writing sound authentically human.
元数据
Slug ai-humanizer-disabled
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Ai Humanizer.Disabled 是什么?

Humanize AI-generated text by detecting and removing patterns typical of LLM output. Rewrites text to sound natural, specific, and human. Uses 28 pattern det... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 94 次。

如何安装 Ai Humanizer.Disabled?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install ai-humanizer-disabled」即可一键安装,无需额外配置。

Ai Humanizer.Disabled 是免费的吗?

是的,Ai Humanizer.Disabled 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Ai Humanizer.Disabled 支持哪些平台?

Ai Humanizer.Disabled 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Ai Humanizer.Disabled?

由 Robin.Z(@robinzorro86)开发并维护,当前版本 v1.0.0。

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