pydeseq2

Pass

Audited by Gen Agent Trust Hub on Nov 6, 2026

Risk Level: SAFEINDIRECT_PROMPT_INJECTIONDYNAMIC_EXECUTION
Full Analysis
  • [DYNAMIC_EXECUTION]: The skill demonstrates the use of the pickle module for serializing and deserializing analysis objects to and from local storage. In references/workflow_guide.md, code examples include pickle.load() to restore data states. Deserialization of untrusted data using the pickle module can lead to arbitrary code execution if the source file is malicious.
  • [INDIRECT_PROMPT_INJECTION]: The skill processes untrusted external data in CSV and TSV formats for gene expression analysis, creating a surface for indirect prompt injection.
  • Ingestion points: Data is loaded from user-provided paths in scripts/run_deseq2_analysis.py and SKILL.md using pd.read_csv().
  • Boundary markers: Absent; the skill does not use delimiters or instructions to ignore embedded content within the data files.
  • Capability inventory: The skill has the ability to write files to the local system (to_csv, pickle.dump) and generate visualization plots.
  • Sanitization: There is no explicit sanitization or content validation of the input data files beyond checking for non-negative integers and index alignment.
Audit Metadata
Risk Level
SAFE
Analyzed
Nov 6, 2026, 12:15 PM