long-context

Pass

Audited by Gen Agent Trust Hub on Oct 1, 2026

Risk Level: SAFEEXTERNAL_DOWNLOADSINDIRECT_PROMPT_INJECTION
Full Analysis
  • [EXTERNAL_DOWNLOADS]: The skill provides instructions to download specific research implementations and datasets necessary for context extension.
  • Fetches the YaRN implementation from a public GitHub repository (jquesnelle/yarn).
  • Downloads standard text datasets from HuggingFace Hub (e.g., PG-19, arXiv, UltraChat).
  • Installs common machine learning libraries including transformers, torch, and einops via standard package managers.
  • [INDIRECT_PROMPT_INJECTION]: The skill's fine-tuning and evaluation workflows involve processing external datasets which could theoretically contain adversarial content.
  • Ingestion points: Data loading functions in references/fine_tuning.md that ingest external document text.
  • Boundary markers: Includes data validation routines (validate_training_data) to check for repetition and truncation artifacts.
  • Capability inventory: The ingested data is used for model training and metric calculation (perplexity, retrieval accuracy).
  • Sanitization: Content is passed through standard model tokenizers with specific truncation and formatting logic.
Audit Metadata
Risk Level
SAFE
Analyzed
Oct 1, 2026, 07:50 AM
Security Audit — agent-trust-hub — long-context