autoglm-toolkitAutoGLM AI agent toolkit powered by Zhipu AI. Includes browser automation, deep research, web search, image generation, image search, and web page content ex...
Install via ClawdBot CLI:
clawdbot install ye4wzp/autoglm-toolkitGrade Limited — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
POST → https://autoglm-api.zhipuai.cn/agentdr/v1/assistant/skills/web-searchCalls external URL not in known-safe list
https://zhipuai.cnUses known external API (expected, informational)
api.zhipuai.cnAudited Apr 17, 2026 · audit v1.0
Generated Mar 22, 2026
Automate browser tasks to gather data on competitors, analyze social media trends, and compile structured reports using deep research capabilities. Ideal for marketing teams needing up-to-date insights on Chinese platforms like Weibo and Xiaohongshu.
Generate images from text descriptions for marketing materials, search for stock images, and extract web content for inspiration. Useful for designers and content creators working on Chinese digital campaigns.
Use browser automation to compare products across Chinese e-commerce sites, scrape prices and reviews, and automate form-filling for bulk purchases. Beneficial for online retailers and procurement teams.
Conduct deep research on specific topics by performing multi-round searches, extracting full-text from academic papers or technical blogs, and generating structured reports. Suitable for researchers and students focusing on Chinese sources.
Automate interactions on social platforms like Zhihu and Douyin for customer engagement, monitor brand mentions, and generate quick search results for support queries. Helpful for customer service teams in Chinese markets.
Offer the toolkit as a cloud-based service with tiered pricing based on API usage and features like browser automation limits. Targets businesses needing scalable AI agent capabilities for Chinese internet tasks.
Provide customized deployments with dedicated support, enhanced security, and integration into existing workflows for large corporations. Focuses on industries like marketing and e-commerce with high-volume needs.
Offer basic features like web search and image generation for free, while charging for advanced capabilities such as deep research reports and browser automation. Attracts individual users and small teams before upselling.
💬 Integration Tip
Ensure proper authentication setup with token and signing headers, and test API endpoints in a sandbox environment before full deployment to avoid rate limits.
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。
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.
Collaborative thinking partner for exploring complex problems through questioning