transformers-js

Pass

Audited by Gen Agent Trust Hub on Apr 29, 2026

Risk Level: SAFEEXTERNAL_DOWNLOADSPROMPT_INJECTION
Full Analysis
  • [EXTERNAL_DOWNLOADS]: Fetches machine learning models from the official Hugging Face Hub. This is a trusted source for model weights and configuration.
  • [EXTERNAL_DOWNLOADS]: References dependencies from the official NPM registry and well-known JSDelivr CDN. These are standard distribution channels for JavaScript libraries.
  • [DATA_EXPOSURE]: Utilizes a local cache directory (defaults to ./.cache or ~/.cache/huggingface/) to store downloaded models. This is standard behavior for the Transformers.js library to optimize performance and minimize redundant downloads.
  • [COMMAND_EXECUTION]: Provides instructions for running inference tasks using the pipeline API. No arbitrary command execution patterns or privilege escalation attempts were detected.
  • [PROMPT_INJECTION]: As a tool designed to process arbitrary data through machine learning models, the skill presents a surface for indirect prompt injection.
  • Ingestion points: The pipeline function in SKILL.md accepts untrusted text, image, and audio data for analysis or generation.
  • Boundary markers: Examples do not demonstrate the use of delimiters or "ignore" instructions for processed content.
  • Capability inventory: Inference is performed via WebAssembly or WebGPU; the skill also interacts with the local filesystem for caching (references/CACHE.md).
  • Sanitization: No sanitization or input validation logic is present in the provided examples.
Audit Metadata
Risk Level
SAFE
Analyzed
Apr 29, 2026, 12:45 AM