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 alberto-solano · AI Tool · ★ 75
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is open-source-LLM-translation-tool safe to install? View the security audit →
Open Source Translation Tool This project use the Meta NLLB-200 translation model through the Hugging Face transformers library. The Meta NLLB-200 is a powerful language model designed for translation which has 54 billion parameters. However, this application built in Django uses a much smaller version (600M parameters) so that it can be used in its simplest form. How to modify this in the code to use alternative versions is detailed below. The application has a translation interface where text can be directly copied and pasted for translation. In addition, it has a language detector as part of the NLLB-200 project that is used to detect the source language. In addition, the application contains a document translation interface through which documents with .pdf, .docx and .pptx extension can be translated. The translation of PDF documents makes use of an OCR through the Python easyOCR library, while for .pptx and .docx extensions the python-pptx and python-docx libraries are used respectively.
| Stars | 75 |
| Forks | 5 |
| Language | Python |
| Category | AI Tool |
| Quality Score | 64.5569128661304/100 |
| Open Issues | 4 |
| Last Updated | 2023-11-02 |
| Created | 2023-10-08 |
| Platforms | python |
| Est. Tokens | ~15k |
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open-source-LLM-translation-tool is This project use the Meta NLLB-200 translation model through the Hugging Face transformers library.. It is categorized as a AI Tool with 75 GitHub stars.
open-source-LLM-translation-tool is primarily written in Python. It covers topics such as huggingface-transformers, llms, nllb.
You can find installation instructions and usage details in the open-source-LLM-translation-tool GitHub repository at github.com/alberto-solano/open-source-LLM-translation-tool. The project has 75 stars and 5 forks, indicating an active community.
The top alternatives to open-source-LLM-translation-tool on Agent Skills Hub include GenAI-AgenticAI-From-Zero-to-Production, deeppowers, weam. 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.
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