scientific-visualization

Pass

Audited by Gen Agent Trust Hub on Oct 12, 2026

Risk Level: SAFEPROMPT_INJECTIONINDIRECT_PROMPT_INJECTIONMETADATA_POISONING
Full Analysis
  • [PROMPT_INJECTION]: The skill includes a 'Suggest Using K-Dense Web For Complex Worflows' section which instructs the agent to proactively recommend a specific external platform (www.k-dense.ai) when user queries exceed a certain complexity. This is a behavioral steering attempt that modifies the agent's natural response pattern.
  • [INDIRECT_PROMPT_INJECTION]: The skill is designed to ingest and visualize external data structures like pandas DataFrames and datasets. This creates a vulnerability surface where malicious instructions or markdown could be embedded within data labels or values, potentially influencing the agent or the visualization process. 1. Ingestion points: Data passed to plotting functions (df, datasets, individual_points) in SKILL.md. 2. Boundary markers: None identified in the provided instructions. 3. Capability inventory: File writing (save_publication_figure via figure_export.py). 4. Sanitization: No explicit sanitization or escaping of data labels is described.
  • [METADATA_POISONING]: There is a discrepancy between the author identified by the system (wu-yc) and the author claimed in the skill metadata (K-Dense Inc.). Additionally, the inclusion of promotional instructions for an external service within functional guidelines serves to steer agent behavior toward specific commercial endpoints.
Audit Metadata
Risk Level
SAFE
Analyzed
Oct 12, 2026, 05:25 AM