clip
Pass
Audited by Gen Agent Trust Hub on Jun 21, 2026
Risk Level: SAFEEXTERNAL_DOWNLOADSPROMPT_INJECTION
Full Analysis
- [EXTERNAL_DOWNLOADS]: The skill facilitates the installation of the CLIP library from OpenAI's official GitHub repository. It also lists standard dependencies from the public PyPI registry, including
torch,torchvision,pillow,ftfy,regex, andtqdm. - [PROMPT_INJECTION]: The skill presents an attack surface for indirect prompt injection because it processes external, untrusted data inputs.
- Ingestion points: Both
SKILL.mdandreferences/applications.mdcontain code to load local image files usingImage.open()and tokenize user-provided text queries viaclip.tokenize(). - Boundary markers: No explicit delimiters or instructions to ignore embedded commands are present in the code examples to mitigate against adversarial content in inputs.
- Capability inventory: The skill uses machine learning libraries (
torch,clip,transformers) to compute embeddings. It lacks high-risk capabilities such as arbitrary shell command execution, system-level file modifications, or non-whitelisted network communications. - Sanitization: No input validation or sanitization logic is provided in the example implementations for image or text data.
Audit Metadata