ai-densityAI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
Install via ClawdBot CLI:
clawdbot install kaiyuelv/ai-densityGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://github.com/openclaw/ai-densityAudited Apr 17, 2026 · audit v1.0
Generated Mar 22, 2026
Educational institutions can use this tool to screen student submissions for AI-generated content, helping maintain academic honesty. It provides a quick, objective grade to flag potential violations without manual review.
Publishers and media companies can integrate the detector to ensure human-written authenticity in articles and reports. It helps verify content sources and maintain editorial standards by grading AI involvement.
HR departments can apply this tool to analyze cover letters and application essays for AI assistance, ensuring candidates' genuine writing skills. It offers a confidence score to support hiring decisions.
Law firms can use the detector to check legal briefs and contracts for AI-generated text, ensuring human oversight in critical documents. The grading helps assess authenticity and compliance with professional standards.
Offer the AI density detection as a cloud-based service with tiered pricing based on usage volume. This model provides recurring revenue through monthly or annual subscriptions for businesses and institutions.
License the detection API to third-party platforms like content management systems or educational software. Charge per API call or through enterprise agreements for integration into existing workflows.
Provide a free basic version for individual users with limited features, and offer premium upgrades for advanced analytics and higher usage limits. This attracts a broad user base and converts some to paying customers.
💬 Integration Tip
Integrate via the one-line API call in Python scripts, ensuring the requirements.txt dependencies are installed first for smooth deployment.
Scored Apr 19, 2026
Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases.
Humanize AI-generated text to bypass detection. This humanizer rewrites ChatGPT, Claude, and GPT content to sound natural and pass AI detectors like GPTZero,...
Humanize AI-generated text by detecting and removing patterns typical of LLM output. Rewrites text to sound natural, specific, and human. Uses 24 pattern detectors, 500+ AI vocabulary terms across 3 tiers, and statistical analysis (burstiness, type-token ratio, readability) for comprehensive detection. Use when asked to humanize text, de-AI writing, make content sound more natural/human, review writing for AI patterns, score text for AI detection, or improve AI-generated drafts. Covers content, language, style, communication, and filler categories.
去除文本中的 AI 生成痕迹。适用于编辑或审阅文本，使其听起来更自然、更像人类书写。 基于维基百科的"AI 写作特征"综合指南。检测并修复以下模式：夸大的象征意义、 宣传性语言、以 -ing 结尾的肤浅分析、模糊的归因、破折号过度使用、三段式法则、 AI 词汇、否定式排比、过多的连接性短语。
Collaborative thinking partner for exploring complex problems through questioning
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.