dask

Pass

Audited by Gen Agent Trust Hub on Nov 6, 2026

Risk Level: SAFEINDIRECT_PROMPT_INJECTIONDYNAMIC_EXECUTION
Full Analysis
  • [INDIRECT_PROMPT_INJECTION]: The skill provides instructions for processing external datasets (CSV, JSON, Parquet, logs) which constitutes a surface for indirect prompt injection if the processed content is subsequently handled by an LLM without adequate sanitization.\n
  • Ingestion points: dd.read_csv, db.read_text, and da.from_zarr in SKILL.md and reference files.\n
  • Boundary markers: Not present in the provided examples.\n
  • Capability inventory: Includes distributed task execution and file system writes (to_parquet, to_csv).\n
  • Sanitization: No specific sanitization logic is included in the examples.\n- [DYNAMIC_EXECUTION]: Dask fundamentally relies on the dynamic execution of Python functions across partitions or clusters.\n
  • Evidence: Use of client.submit, map_partitions, and map_blocks throughout the reference documentation (e.g., references/futures.md, references/dataframes.md).\n
  • Note: This behavior is consistent with the library's primary purpose for parallel and distributed computing and is presented here in an educational context.
Audit Metadata
Risk Level
SAFE
Analyzed
Nov 6, 2026, 12:15 PM