artur-zhdan

Humanize AI

内容创作v1.1.0
作者:artur-zhdan更新于 2026-05-11共 2 个版本 · 最新版本发布于 2026-02-01humanize-ai@clawhub_artur-zhdan/humanize-ai
内容改写#Batch

据 AlphaMoat 统计,截至 2026-09,Humanize AI 累计下载 4,096 次、获 8 个星标,在全部 5,078 个 AI 技能中排名第 2,469 位,在「内容创作」分类(362 个)中排名第 171 位。

累计安装
360
累计下载
4,096
星标
8
全站排名
#2,469
全站前 49% · 「内容创作」前 48%
平台累计安装累计下载星标评论
ClawHub ↗1093,4388-
SkillHub ↗3604,0968—

各平台的计数口径不同,统计时间不一致。

这个技能是做什么的

报告套路词汇、夸张措辞和聊天机器人用语,可替换赘语、统一引号,并可选调整破折号。规则清单可定制,分析输出可为文本或 JSON。应先分析、另存修改、保留备份,替换原件前人工检查含义与语气。模式匹配不能判断作者身份,也不保证检测器结果。

资料发布于 2026-10-27

可以用来做什么

  • 审查并清理本地文本的重复套路措辞

什么时候用

  • 写作需要可解释的清理报告和可修改替换时

示例提示词

以下是根据技能文档生成的示例,不代表实际运行结果。

先分析文本,解释短语修改建议,并另存供人工复核的草稿。

月度数据趋势

累计下载4,096
2,3113,2704,2282026-03 · 累计下载 2,4432026-05 · 累计下载 2,9322026-06 · 累计下载 3,0752026-07 · 累计下载 3,3272026-08 · 累计下载 3,5202026-09 · 累计下载 4,09626-0326-09
星标8
7892026-03 · 星标 82026-05 · 星标 82026-06 · 星标 82026-07 · 星标 82026-08 · 星标 82026-09 · 星标 826-0326-09

2026-09 起统计方法调整:同名技能按作者分别统计,并覆盖全部技能。图中虚线为调整前的月份,与之后的数据不直接比较,也不计算跨越调整的增长。

月份累计下载环比星标
2026-094,096—8
2026-083,520+5.8%8
2026-073,327+8.2%8
2026-063,075+4.9%8
2026-052,932—8
2026-032,443—8

SKILL.md 原文

以下是作者发布的原始文件,按纯文本显示,本站未做修改或审核;其中的链接不可点击,命令请核实后再运行。抓取于 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
---
展开全部(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
```

---

「内容创作」分类下的热门技能

artur-zhdan 的其他技能

数据月份:2026-09 · 下载/星标/安装数聚合自公开技能注册库(ClawHub、SkillHub),按月更新。口径说明见数据方法。