H
humanize
by @humanizeraiv
4.4(27)
将AI生成的文本内容转化为更自然、更具人情味的表达,使其读起来像人类撰写。
安装方式
npx skills add https://github.com/humanizerai/agent-skills --skill humanizecompare_arrows
Before / After 效果对比
1 组使用前
AI生成文本生硬、缺乏人情味,易被AI检测器识别。
使用后
AI文本转化为自然、流畅的人类语言,有效规避AI检测。
SKILL.md
Humanize AI Text
Transform AI-generated content into natural, human-like writing using the HumanizerAI API.
How It Works
When the user invokes /humanize, you should:
- Parse $ARGUMENTS for text and optional --intensity flag
- Call the HumanizerAI API to humanize the text
- Present the humanized text with before/after scores
- Show remaining credits
Parsing Arguments
The user may provide:
- Just text:
/humanize [their text] - With intensity:
/humanize --intensity aggressive [their text]
Default intensity is medium.
Intensity Levels
| Value | Name | Description | Best For |
|---|---|---|---|
light | Light | Subtle changes, preserves style | Already-edited text, low AI scores |
medium | Medium | Balanced rewrites (default) | Most use cases |
aggressive | Bypass | Maximum bypass mode | High AI scores, strict detectors |
API Call
Make a POST request to https://humanizerai.com/api/v1/humanize:
Authorization: Bearer $HUMANIZERAI_API_KEY
Content-Type: application/json
{
"text": "<user's text>",
"intensity": "medium"
}
Response Format
Present results like this:
## Humanization Complete
**Score:** X → Y (improvement)
**Words Processed:** N
**Credits Remaining:** X
---
### Humanized Text
[The humanized text]
---
[Recommendation based on final score]
Credit Usage
- 1 word = 1 credit
- Detection is free
- Check credits at https://humanizerai.com/dashboard
Error Handling
Insufficient Credits
If the user doesn't have enough credits:
- Show how many credits are needed vs available
- Direct them to https://humanizerai.com/dashboard to top up
Invalid API Key
- Check HUMANIZERAI_API_KEY environment variable
- Direct to https://humanizerai.com to get a key
Rate Limit
If rate limited, suggest waiting or upgrading to Business plan.
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统计数据
安装量3.1K
评分4.4 / 5.0
版本
更新日期2026年7月16日
对比案例1 组
用户评分
4.4(27)
5
15%
4
48%
3
33%
2
4%
1
0%
为此 Skill 评分
0.0
兼容平台
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时间线
创建2026年3月16日
最后更新2026年7月16日