pylabrobot
Pass
Audited by Gen Agent Trust Hub on Sep 25, 2026
Risk Level: SAFEINDIRECT_PROMPT_INJECTION
Full Analysis
- [SAFE]: The skill provides comprehensive documentation and code examples for the PyLabRobot framework. All links and dependencies refer to official, well-known sources including PyPI and the project's GitHub repository. The backend systems use standard network and serial communication protocols to interface with laboratory hardware.- [INDIRECT_PROMPT_INJECTION]: The skill describes functionality for loading deck configurations from JSON files and processing data from laboratory instruments. This constitutes an ingestion point for external data.
- Ingestion points: JSON deck layouts (
deck_layout.json) and instrument measurement arrays (e.g., absorbance data). - Boundary markers: The skill examples incorporate human-in-the-loop checkpoints (e.g.,
input("Press Enter...")) which serve as validation boundaries for physical hardware actions. - Capability inventory: Physical hardware control (liquid handling, heating, shaking, centrifugation) and a local web-based visualizer.
- Sanitization: Data is processed using standard libraries like NumPy and Pandas, and the PyLabRobot framework provides internal validation of hardware commands and deck states.
Audit Metadata