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 Bil0000 · Agent Tool · ★ 58
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Globalyze safe to install? View the security audit →
Globalyze OpenClaw for localization. Automatically internationalize your React application. Globalyze scans your codebase, extracts UI strings, generates semantic translation keys, rewrites components, and produces ready-to-use locale files. Run one command: globalyze globalize And your app becomes multilingual. Example Before: Run: After: Globalyze also generates locale files automatically: Quick Start Install Globalyze: Configure environment variables in (see Environment Variables below) before initializing: Initialize your project: Run the first-time migration: Keep translations updated later: AI Skill Globalyze includes an AI skill for agent workflows. Install: This enables Cursor / Codex / AI agents to use the C
| Stars | 58 |
| Forks | 4 |
| Language | TypeScript |
| Category | Agent Tool |
| Quality Score | 73.7672326097145/100 |
| Last Updated | 2026-03-13 |
| Created | 2026-03-07 |
| Platforms | browser, cli, node |
| Est. Tokens | ~3103k |
These tools work well together with Globalyze for enhanced workflows:
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Globalyze is Prettier for localization, automatically convert React and Next.js apps into multilingual applications FAST.. It is categorized as a Agent Tool with 58 GitHub stars.
Globalyze is primarily written in TypeScript. It covers topics such as ai-tools, ast, automation.
You can find installation instructions and usage details in the Globalyze GitHub repository at github.com/Bil0000/Globalyze. The project has 58 stars and 4 forks, indicating an active community.
The top alternatives to Globalyze on Agent Skills Hub include vibe-annotations, logicstamp-context, i18next-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: