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。
| 平台 | 累計安裝 | 累計下載 | 星標 | 評論 |
|---|---|---|---|---|
| ClawHub ↗ | 109 | 3438 | 8 | - |
| SkillHub ↗ | 360 | 4096 | 8 | — |
各平台的計數口徑不同,統計時間不一致。
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
以下是根據技能文件生成的示例,不代表實際執行結果。
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 |
|---|---|---|---|
| 2026-09 | 4096 | — | 8 |
| 2026-08 | 3520 | +5.8% | 8 |
| 2026-07 | 3327 | +8.2% | 8 |
| 2026-06 | 3075 | +4.9% | 8 |
| 2026-05 | 2932 | — | 8 |
| 2026-03 | 2443 | — | 8 |
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。
--- 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 ``` ---
識別並去掉文字里的 AI 寫作痕跡,讓文字讀起來更像人寫。
把文字里 AI 寫作的典型痕跡挑出來並改寫得更自然,同時保留原意的寫作編輯技能。
識別並去除 AI 生成文字痕跡的中文文字編輯技能。
wechat-search 檢索公眾號熱門文章,並按相關性、熱度和時效整理結果。
從公開短影片分享連結提取標題、簡介和口播文案,並給出改寫版本。
humanizer 為中英文文字提供更自然的表達和風格編輯指導。
寫網文章節並按檔案落盤,聊天裡只回摘要與指標。
把一組行銷方法模組收進同一個技能,按請求路由到對應模組取清單與可交付稿。
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。