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• OpenClaw ：良性

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The skill's code, instructions, and requirements are internally consistent with its stated purpose (auto-detecting and auto-replacing AI-style phrasing); it does not request credentials or perform network calls, but you should back up files before batch runs and note a couple of minor buggy implementations in the scripts.

安装（复制给龙虾 AI）

将下方整段复制到龙虾中文库对话中，由龙虾按 SKILL.md 完成安装。

请把本段交给龙虾中文库（龙虾 AI）执行：为本机安装 OpenClaw 技能「Humanize AI」。简介：Humanize AI content by detecting and auto-fixing AI generated content. Humanize…。
请 fetch 以下地址读取 SKILL.md 并按文档完成安装：https://raw.githubusercontent.com/openclaw/skills/refs/heads/main/skills/artur-zhdan/humanize-ai/SKILL.md
（来源：yingzhi8.cn 技能库）

SKILL.md

打开原始 SKILL.md（GitHub raw）

---
name: humanize-ai
description: Humanize AI content by detecting and auto-fixing AI generated content. Humanize AI text using Python scripts. Scans for AI vocabulary, puffery, chatbot artifacts, and auto-replaces filler phrases. Use when you want to analyze text in AI detector and bypass it in future, batch-process files, run automated cleanup, or get a report before manual humanizing.
allowed-tools:
  - Read
  - Write
  - StrReplace
  - Shell
  - Glob
---

# Humanize CLI

Command-line tools for detecting and auto-fixing AI writing patterns.

## Scripts

### analyze.py — Detect AI Patterns

Scans text and reports AI vocabulary, puffery, chatbot artifacts, and auto-replaceable phrases.

```bash
# Analyze a file
python scripts/analyze.py input.txt

# Analyze from stdin
echo "This serves as a testament to our commitment" | python scripts/analyze.py

# JSON output for programmatic use
python scripts/analyze.py input.txt --json
```

**Output example:**
```
==================================================
AI PATTERN ANALYSIS - 5 issues found
==================================================

AI VOCABULARY:
  • testament: 1x
  • crucial: 2x

AUTO-REPLACEABLE:
  • "serves as" → "is": 1x
  • "in order to" → "to": 1x
```

---

### humanize.py — Auto-Replace Patterns

Performs automatic replacements for common AI-isms.

```bash
# Humanize and print to stdout
python scripts/humanize.py input.txt

# Write to output file
python scripts/humanize.py input.txt -o output.txt

# Include em dash replacement
python scripts/humanize.py input.txt --fix-dashes

# Quiet mode (no change log)
python scripts/humanize.py input.txt -q
```

**What it fixes automatically:**
- Filler phrases: "in order to" → "to", "due to the fact that" → "because"
- Copula avoidance: "serves as" → "is", "boasts" → "has"
- Sentence starters: removes "Additionally,", "Furthermore,", "Moreover,"
- Curly quotes → straight quotes
- Chatbot artifacts: removes "I hope this helps", "Let me know if", etc.

---

## Workflow

1. **Analyze first** to see what needs fixing:
   ```bash
   python scripts/analyze.py document.txt
   ```

2. **Auto-fix** safe replacements:
   ```bash
   python scripts/humanize.py document.txt -o document_clean.txt
   ```

3. **Manual review** for AI vocabulary and puffery flagged by analyze (these require human judgment)

4. **Re-analyze** to confirm improvements:
   ```bash
   python scripts/analyze.py document_clean.txt
   ```

---

## Customizing Patterns

Edit `scripts/patterns.json` to add/remove:
- `ai_words` — vocabulary that flags but doesn't auto-replace
- `puffery` — promotional language to flag
- `replacements` — phrase → replacement mappings (empty string = delete)
- `chatbot_artifacts` — phrases to auto-remove
- `hedging_phrases` — excessive hedging to flag

---

## Batch Processing

Process multiple files:

```bash
# Analyze all markdown files
for f in *.md; do
  echo "=== $f ===" 
  python scripts/analyze.py "$f"
done

# Humanize all txt files in place
for f in *.txt; do
  python scripts/humanize.py "$f" -o "$f.tmp" && mv "$f.tmp" "$f"
done
```

---