No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by oxylabs · Agent Tool · ★ 326
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is oxylabs-ai-studio-js safe to install? View the security audit →
Oxylabs AI Studio JavaScript SDK A JavaScript SDK for seamlessly interacting with Oxylabs AI Studio API services, including AI-Scraper, AI-Crawler, AI-Browser-Agent and other data extraction tools. Installation Quick Start Environment Setup Either add and values to the file, or as your environment variables: AI-Scraper Generate Schema javascript import { OxylabsAIStudioSDK } from 'oxylabs-ai-studio'; const sdk = new OxylabsAIStudioSDK({ apiKey: 'yourapikeyhere', timeout: 120000, retryAttempts: 3, }); async function testGenerateSchema() { try { console.log('Testing schema generation...'); const schema = await sdk.aiScraper.generateSche
| Stars | 326 |
| Forks | 1 |
| Language | TypeScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 69.8973622277418/100 |
| Last Updated | 2026-08-21 |
| Created | 2025-06-17 |
| Platforms | browser, node |
| Est. Tokens | ~16k |
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oxylabs-ai-studio-js is Structured data gathering from any website using AI-powered scraper, crawler, and browser automation. Scraping and crawling with natural language prompts. Equip your LLM agents with fresh data. AI Stu. It is categorized as a Agent Tool with 326 GitHub stars.
oxylabs-ai-studio-js is primarily written in TypeScript. It covers topics such as ai-crawler, ai-map, ai-scraper.
You can find installation instructions and usage details in the oxylabs-ai-studio-js GitHub repository at github.com/oxylabs/oxylabs-ai-studio-js. The project has 326 stars and 1 forks, indicating an active community.
oxylabs-ai-studio-js is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to oxylabs-ai-studio-js on Agent Skills Hub include WebAI2API, decodo-openclaw-skill, browser-debugger-cli. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: