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 ryanhex53 · Agent Tool · ★ 117
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is gpt-po safe to install? View the security audit →
PO File Translation Tool for ChatGPT Translation tool for gettext (po) files that supports custom system prompts and user dictionaries. It also supports translating specified po files to a designated target language and updating po files based on pot files. Supported LLM Providers: OpenAI (GPT), Anthropic (Claude), and Google (Gemini) Read in other languages: English | 简体中文 Installation Set before using this tool. Depending on the provider, use , , or . It is recommended to use paid APIs to improve translation speed, as free tiers are often slower and have usage restrictions. Environment Variables : OpenAI API key. : OpenAI API host (default: ). : Anthropic API key. : Anthropic API host. : Google Gemini API key. : Google Gemini API host. : Model temperature (default: 0.1). This will override provider-specific temperature settings. Usage
| Stars | 117 |
| Forks | 19 |
| Language | TypeScript |
| Category | Agent Tool |
| Quality Score | 72.9208017584058/100 |
| Open Issues | 8 |
| Last Updated | 2026-05-28 |
| Created | 2023-05-03 |
| Platforms | claude-code, gemini, node |
| Est. Tokens | ~14k |
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gpt-po is command tool for translate po files by using LLM api, support openai/anthropic/google models. It is categorized as a Agent Tool with 117 GitHub stars.
gpt-po is primarily written in TypeScript. It covers topics such as anthropic, chatgpt, claude.
You can find installation instructions and usage details in the gpt-po GitHub repository at github.com/ryanhex53/gpt-po. The project has 117 stars and 19 forks, indicating an active community.
The top alternatives to gpt-po on Agent Skills Hub include toolmate, gemini-for-claude-code, awesome-system-prompts. 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: