artur-zhdan

Humanize AI

內容創作v1.1.0
作者:artur-zhdan更新於 2026-05-11共 2 個版本 · 最新版本釋出於 2026-02-01humanize-ai@clawhub_artur-zhdan/humanize-ai
內容改寫#Batch

據 AlphaMoat 統計,截至 2026-09,Humanize AI 累計下載 4,096 次、獲 8 個星標,在全部 5,078 個 AI 技能中排名第 2,469 位,在「內容創作」分類(362 個)中排名第 171 位。

累計安裝
360
累計下載
4096
星標
8
全站排名
#2,469
全站前 49% · 「內容創作」前 48%
平台累計安裝累計下載星標評論
ClawHub ↗10934388-
SkillHub ↗36040968—

各平台的計數口徑不同,統計時間不一致。

這個技能是做什麼的

報告套路詞彙、誇張措辭和聊天機器人用語,可替換贅語、統一引號,並可選調整破折號。規則清單可定製,分析輸出可為文字或 JSON。應先分析、另存修改、保留備份,替換原件前人工檢查含義與語氣。模式匹配不能判斷作者身份,也不保證檢測器結果。

資料釋出於 2026-10-27

可以用來做什麼

  • 審查並清理本地文字的重複套路措辭

什麼時候用

  • 寫作需要可解釋的清理報告和可修改替換時

示例提示詞

以下是根據技能文件生成的示例,不代表實際執行結果。

先分析文字,解釋短語修改建議,並另存供人工複核的草稿。

月度資料趨勢

累計下載4096
2311327042282026-03 · 累計下載 24432026-05 · 累計下載 29322026-06 · 累計下載 30752026-07 · 累計下載 33272026-08 · 累計下載 35202026-09 · 累計下載 409626-0326-09
星標8
7892026-03 · 星標 82026-05 · 星標 82026-06 · 星標 82026-07 · 星標 82026-08 · 星標 82026-09 · 星標 826-0326-09

2026-09 起統計方法調整:同名技能按作者分別統計,並覆蓋全部技能。圖中虛線為調整前的月份,與之後的資料不直接比較,也不計算跨越調整的增長。

月份累計下載環比星標
2026-094096—8
2026-083520+5.8%8
2026-073327+8.2%8
2026-063075+4.9%8
2026-052932—8
2026-032443—8

SKILL.md 原文

以下是作者釋出的原始檔案,按純文字顯示,本站未做修改或稽核;其中的連結不可點選,命令請核實後再執行。抓取於 2026-10-23。

3.1 KB · ClawHub v1.1.0
---
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
---
展開全部(共 127 行)

# 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
```

---

「內容創作」分類下的熱門技能

artur-zhdan 的其他技能

資料月份:2026-09 · 下載/星標/安裝數聚合自公開技能註冊庫(ClawHub、SkillHub),按月更新。口徑說明見資料方法。