huggingface-tokenizers
Pass
Audited by Gen Agent Trust Hub on Sep 9, 2026
Risk Level: SAFEEXTERNAL_DOWNLOADSINDIRECT_PROMPT_INJECTION
Full Analysis
- [SAFE]: The skill serves as an educational resource for using HuggingFace's Rust-based tokenization library. All provided code snippets follow best practices for NLP development and do not include any dangerous operations or obfuscated code.
- [EXTERNAL_DOWNLOADS]: The instructions include steps to install standard Python packages (tokenizers, transformers, datasets) and download pre-trained configurations from HuggingFace's official repository. These references target a well-known service and trusted organization, representing standard development workflows.
- [INDIRECT_PROMPT_INJECTION]: The skill identifies a surface for processing external text data. Ingestion points: Text data processed through methods like
tokenizer.encode()andtokenizer.train()inSKILL.mdandreferences/training.md. Boundary markers: None present in the documentation examples. Capability inventory: The code examples include local file-write operations viatokenizer.save()inSKILL.md. Sanitization: Input sanitization is not demonstrated in the algorithmic examples. Assessment: The tokenization process is algorithmic and does not execute instructions embedded in the processed data, resulting in a safe assessment.
Audit Metadata