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Humanize AI text

作者 moltbro · GitHub ↗ · v1.0.1
cross-platform ⚠ suspicious
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在 OpenClaw 中安装
/install humanize-ai-text
功能描述
Humanize AI-generated text to bypass detection. This humanizer rewrites ChatGPT, Claude, and GPT content to sound natural and pass AI detectors like GPTZero,...
使用说明 (SKILL.md)

Humanize AI Text

Comprehensive CLI for detecting and transforming AI-generated text to bypass detectors. Based on Wikipedia's Signs of AI Writing.

Quick Start

# Detect AI patterns
python scripts/detect.py text.txt

# Transform to human-like
python scripts/transform.py text.txt -o clean.txt

# Compare before/after
python scripts/compare.py text.txt -o clean.txt

Detection Categories

The analyzer checks for 16 pattern categories from Wikipedia's guide:

Critical (Immediate AI Detection)

Category Examples
Citation Bugs oaicite, turn0search, contentReference
Knowledge Cutoff "as of my last training", "based on available information"
Chatbot Artifacts "I hope this helps", "Great question!", "As an AI"
Markdown **bold**, ## headers, code blocks

High Signal

Category Examples
AI Vocabulary delve, tapestry, landscape, pivotal, underscore, foster
Significance Inflation "serves as a testament", "pivotal moment", "indelible mark"
Promotional Language vibrant, groundbreaking, nestled, breathtaking
Copula Avoidance "serves as" instead of "is", "boasts" instead of "has"

Medium Signal

Category Examples
Superficial -ing "highlighting the importance", "fostering collaboration"
Filler Phrases "in order to", "due to the fact that", "Additionally,"
Vague Attributions "experts believe", "industry reports suggest"
Challenges Formula "Despite these challenges", "Future outlook"

Style Signal

Category Examples
Curly Quotes "" instead of "" (ChatGPT signature)
Em Dash Overuse Excessive use of — for emphasis
Negative Parallelisms "Not only... but also", "It's not just... it's"
Rule of Three Forced triplets like "innovation, inspiration, and insight"

Scripts

detect.py — Scan for AI Patterns

python scripts/detect.py essay.txt
python scripts/detect.py essay.txt -j  # JSON output
python scripts/detect.py essay.txt -s  # score only
echo "text" | python scripts/detect.py

Output:

  • Issue count and word count
  • AI probability (low/medium/high/very high)
  • Breakdown by category
  • Auto-fixable patterns marked

transform.py — Rewrite Text

python scripts/transform.py essay.txt
python scripts/transform.py essay.txt -o output.txt
python scripts/transform.py essay.txt -a  # aggressive
python scripts/transform.py essay.txt -q  # quiet

Auto-fixes:

  • Citation bugs (oaicite, turn0search)
  • Markdown (**, ##, ```)
  • Chatbot sentences
  • Copula avoidance → "is/has"
  • Filler phrases → simpler forms
  • Curly → straight quotes

Aggressive (-a):

  • Simplifies -ing clauses
  • Reduces em dashes

compare.py — Before/After Analysis

python scripts/compare.py essay.txt
python scripts/compare.py essay.txt -a -o clean.txt

Shows side-by-side detection scores before and after transformation


Workflow

  1. Scan for detection risk:

    python scripts/detect.py document.txt
    
  2. Transform with comparison:

    python scripts/compare.py document.txt -o document_v2.txt
    
  3. Verify improvement:

    python scripts/detect.py document_v2.txt -s
    
  4. Manual review for AI vocabulary and promotional language (requires judgment)


AI Probability Scoring

Rating Criteria
Very High Citation bugs, knowledge cutoff, or chatbot artifacts present
High >30 issues OR >5% issue density
Medium >15 issues OR >2% issue density
Low \x3C15 issues AND \x3C2% density

Customizing Patterns

Edit scripts/patterns.json to add/modify:

  • ai_vocabulary — words to flag
  • significance_inflation — puffery phrases
  • promotional_language — marketing speak
  • copula_avoidance — phrase → replacement
  • filler_replacements — phrase → simpler form
  • chatbot_artifacts — phrases triggering sentence removal

Batch Processing

# Scan all files
for f in *.txt; do
  echo "=== $f ==="
  python scripts/detect.py "$f" -s
done

# Transform all markdown
for f in *.md; do
  python scripts/transform.py "$f" -a -o "${f%.md}_clean.md" -q
done

Reference

Based on Wikipedia's Signs of AI Writing, maintained by WikiProject AI Cleanup. Patterns documented from thousands of AI-generated text examples.

Key insight: "LLMs use statistical algorithms to guess what should come next. The result tends toward the most statistically likely result that applies to the widest variety of cases."

安全使用建议
Review carefully before installing. The artifacts do not show exfiltration or hidden persistence, but the skill is designed to hide AI-generated text from detectors, which can create academic, professional, or platform integrity risks.
功能分析
Type: OpenClaw Skill Name: humanize-ai-text Version: 1.0.1 The OpenClaw AgentSkills bundle 'humanize-ai-text' is benign. Its purpose is to detect and transform AI-generated text, which is clearly supported by the provided Python scripts (`detect.py`, `transform.py`, `compare.py`) and the `patterns.json` configuration. The `SKILL.md` instructions are descriptive and do not contain any prompt injection attempts or directives for unauthorized actions. All file operations are confined to reading input, writing output, and accessing local configuration files, with no evidence of network communication, execution of arbitrary commands, or attempts to exfiltrate sensitive data.
能力评估
Purpose & Capability
The artifacts are coherent, but the stated purpose is explicitly to bypass AI-detection and make AI-written text appear human, which is a trust and integrity concern.
Instruction Scope
The documented workflow operationalizes detector evasion by scanning, transforming, and verifying lower AI-detection scores rather than just offering ordinary style editing.
Install Mechanism
There is no install spec and no remote download shown; the included scripts are local Python files, but the source/homepage metadata is sparse.
Credentials
Reading and writing local text files is proportionate for a text transformer, but users should run it only on intended files or copies.
Persistence & Privilege
No credentials, environment variables, network access, background workers, persistence mechanisms, or privilege escalation are evidenced in the artifacts.
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 humanize-ai-text
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /humanize-ai-text 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
v1.0.1
humanize-ai-text 1.0.1 - No code changes detected in this release. - Documentation and usage instructions remain unchanged. - Maintains compatibility and functionality as described in the previous version.
v1.0.0
- Initial release of the humanize-ai-text skill. - Detects 16 categories of AI writing patterns based on Wikipedia's "Signs of AI Writing" guide. - CLI tools: detect.py (scan for AI patterns), transform.py (rewrite text to sound human), compare.py (before/after analysis). - Includes auto-fixes for citations, markdown artifacts, chatbot phrases, filler language, and more. - Aggressive mode available for deeper transformation and simplification. - Customization via patterns.json and supports batch processing.
元数据
Slug humanize-ai-text
版本 1.0.1
许可证
累计安装 324
当前安装数 306
历史版本数 2
常见问题

Humanize AI text 是什么?

Humanize AI-generated text to bypass detection. This humanizer rewrites ChatGPT, Claude, and GPT content to sound natural and pass AI detectors like GPTZero,... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 41432 次。

如何安装 Humanize AI text?

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

Humanize AI text 是免费的吗?

是的,Humanize AI text 完全免费(开源免费),可自由下载、安装和使用。

Humanize AI text 支持哪些平台?

Humanize AI text 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 Humanize AI text?

由 moltbro(@moltbro)开发并维护,当前版本 v1.0.1。

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