tooluniverse-antibody-engineering
Pass
Audited by Gen Agent Trust Hub on Mar 29, 2026
Risk Level: SAFEPROMPT_INJECTIONCOMMAND_EXECUTION
Full Analysis
- [PROMPT_INJECTION]: The skill exhibits an indirect prompt injection surface due to the processing of untrusted user input combined with powerful capabilities.\n
- Ingestion points: Antibody VH/VL sequences provided as text or FASTA format, and target antigen names, entering the context in Phase 1 through Phase 6.\n
- Boundary markers: The prompt instructions do not include explicit delimiters or 'ignore instructions' warnings for the sequence data ingested from the user.\n
- Capability inventory: The skill is capable of performing network requests through scientific tools (IMGT, AlphaFold, UniProt, STRING) and writing optimization reports and sequence files to the local file system.\n
- Sanitization: No sanitization, validation, or instruction-filtering is applied to the antibody sequences before they are used in tool operations or documentation generation.\n- [COMMAND_EXECUTION]: The skill involves the generation and execution of local Python scripts to implement the engineering pipeline.\n
- Evidence: The workflow details provide code templates that the agent is expected to implement and run (e.g., antibody_pipeline.py).\n
- Analysis: This script generation follows known templates for data processing and is a core part of the skill's intended functionality.
Audit Metadata