knowledge-distillation

Pass

Audited by Gen Agent Trust Hub on Oct 1, 2026

Risk Level: SAFEEXTERNAL_DOWNLOADSINDIRECT_PROMPT_INJECTION
Full Analysis
  • [EXTERNAL_DOWNLOADS]: Fetches the MiniLLM implementation from Microsoft's official LMOps GitHub repository for training purposes.
  • [INDIRECT_PROMPT_INJECTION]: The skill implements machine learning training loops that ingest untrusted data from datasets and prompts.
  • Ingestion points: Data is loaded via dataloader in SKILL.md and minillm.md.
  • Boundary markers: None present in the code snippets to delimit untrusted input within the training logic.
  • Capability inventory: Includes model training (loss.backward(), optimizer.step()), file writing (student.save_pretrained()), and text generation (teacher.generate()).
  • Sanitization: No specific sanitization or filtering of input data is implemented in the research-oriented examples.
Audit Metadata
Risk Level
SAFE
Analyzed
Oct 1, 2026, 07:50 AM
Security Audit — agent-trust-hub — knowledge-distillation