cobrapy

Pass

Audited by Gen Agent Trust Hub on May 29, 2026

Risk Level: SAFEPROMPT_INJECTIONEXTERNAL_DOWNLOADSCOMMAND_EXECUTION
Full Analysis
  • [PROMPT_INJECTION]: The skill exhibits an attack surface for indirect prompt injection by processing external data from multiple sources.
  • Ingestion points: Data enters the agent context through metabolic model loaders such as read_sbml_model, load_json_model, load_yaml_model, and load_model (referenced in SKILL.md and api_quick_reference.md).
  • Boundary markers: No explicit delimiters or instructions are used to separate model content from the instructional context.
  • Capability inventory: The skill employs the Bash tool (SKILL.md) and performs file system operations including write_sbml_model and to_csv in workflows.md.
  • Sanitization: The provided instructions and scripts do not include sanitization or validation for descriptive strings within model files.
  • [EXTERNAL_DOWNLOADS]: Fetches metabolic models from well-known scientific repositories including BiGG and BioModels.
  • [COMMAND_EXECUTION]: Uses uv pip install to manage the installation of the cobra package and its solver dependencies.
Audit Metadata
Risk Level
SAFE
Analyzed
May 29, 2026, 12:31 PM
Security Audit — agent-trust-hub — cobrapy