vaex

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Audited by Gen Agent Trust Hub on Sep 15, 2026

Risk Level: MEDIUMMETADATA_POISONINGDYNAMIC_EXECUTIONINDIRECT_PROMPT_INJECTION
Full Analysis
  • [METADATA_POISONING]: The skill's metadata in SKILL.md identifies the author as 'K-Dense Inc.', which contradicts the platform-provided author identity 'leonchaox'. This inconsistency is misleading regarding the provenance of the skill.
  • [DYNAMIC_EXECUTION]: The skill documents and promotes the use of numba.jit (JIT compilation) within references/performance.md to compile custom functions into machine code at runtime for optimization. This pattern of dynamic execution introduces risks if user-influenced logic is passed to the compiler.
  • [INDIRECT_PROMPT_INJECTION]: The skill is primarily designed to ingest and manipulate large tabular datasets from diverse and untrusted external sources, creating a potential attack surface.
  • Ingestion points: Data is loaded via vaex.open(), vaex.from_csv(), and cloud storage protocols (s3://, gs://, az://) as documented in references/core_dataframes.md and references/io_operations.md.
  • Boundary markers: The instructions do not specify any delimiters or warnings to the agent regarding potential instructions embedded within the processed data.
  • Capability inventory: The skill includes functions for file system writes (export_hdf5, export_csv) and network communication for remote data access and server connections (ws://), as detailed in references/io_operations.md.
  • Sanitization: There are no mentioned mechanisms for validating, filtering, or sanitizing the content of the external datasets before they are processed by the agent.
Audit Metadata
Risk Level
MEDIUM
Analyzed
Sep 15, 2026, 02:42 PM