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在 OpenClaw 中安装
/install ai-density
功能描述
AI含量检测工具 - 检测文本AI生成占比，输出0-10级客观分级 | AI Content Detector - Detect AI-generated text with 0-10 objective grading
使用说明 (SKILL.md)
AI Density / AI含量检测
一款双语AI含量检测工具，分析文本并输出AI生成内容占比的0-10级客观分级。
A bilingual AI content detection tool that analyzes text and outputs an objective 0-10 grading scale for AI-generated content proportion.
功能特点 / Features
- AI含量检测: 0-10级客观分级 / 0-10 objective grading
- 多维度分析: 5个检测维度带权重 / 5 dimensions with weights
- 易于使用: 一行代码调用 / One-line API
安装 / Installation
pip install -r requirements.txt
使用示例 / Usage
from scripts.detector import AIDensityDetector
detector = AIDensityDetector()
result = detector.detect("Your text here / 你的文本")
print(f"AI含量等级: {result['level']}/10")
print(f"置信度: {result['confidence']}")
完整文档请查看 README.md / See README.md for full documentation.
安全使用建议
This package appears to be an offline, heuristic AI-content detector implemented with regular expressions and simple metrics. Before installing: (1) Verify the source (registry owner ID is present but homepage was listed as unknown; README references a GitHub URL—consider checking that repo for provenance). (2) Review the code yourself (it uses only the Python standard library and contains unit tests), especially if you will process sensitive text. (3) Understand limitations: heuristic detectors can produce false positives/negatives; results are 'for reference only'. (4) If you plan to run it in production or on sensitive data, run the included tests and consider executing it in an isolated environment (virtualenv/container).
功能分析
Type: OpenClaw Skill
Name: ai-density
Version: 1.0.1
The ai-density skill bundle is a legitimate tool for detecting AI-generated text using heuristic analysis. The code (scripts/detector.py) implements multi-dimensional scoring based on regex patterns for known LLM fingerprints, sentence length variance (perplexity proxy), and structural analysis without any external network calls, file system modifications, or obfuscated logic. All files, including the SKILL.md instructions and unit tests, align perfectly with the stated purpose of providing a bilingual AI content grading system.
能力评估
Purpose & Capability
Name/description (AI content detector) match the provided code and README: the package implements heuristic, multi-dimensional text analysis (fingerprint, perplexity, semantic, style, human-modification). No unrelated credentials, binaries, or cloud services are requested.
Instruction Scope
SKILL.md only directs installation via pip -r requirements.txt and shows simple usage examples. Runtime instructions and examples call local APIs (AIDensityDetector.detect / detect_ai_content). There are no instructions to read unrelated files, access system credentials, or transmit data externally.
Install Mechanism
No install spec in registry (instruction-only skill). README offers git clone as an option; requirements.txt contains only commented optional dependencies. The code relies on Python standard library. No downloads from arbitrary URLs or archive extraction are specified.
Credentials
The skill declares no required environment variables, no primary credential, and no config paths. The code does not reference environment variables or external API keys, so requested environment access is minimal and proportional.
Persistence & Privilege
Skill flags show default invocation behavior (not always:true). The package does not request permanent presence or modify other skills/system-wide settings. It is a normal, non-privileged skill.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install ai-density - 安装完成后，直接呼叫该 Skill 的名称或使用
/ai-density触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.1
简化 SKILL.md 结构
v1.0.0
Initial release
元数据
常见问题
AI Density 是什么？
AI含量检测工具 - 检测文本AI生成占比，输出0-10级客观分级 | AI Content Detector - Detect AI-generated text with 0-10 objective grading. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 231 次。
如何安装 AI Density？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install ai-density」即可一键安装，无需额外配置。
AI Density 是免费的吗？
是的，AI Density 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
AI Density 支持哪些平台？
AI Density 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 AI Density？
由 Lv Lancer（@kaiyuelv）开发并维护，当前版本 v1.0.1。
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