cobrapy
Pass
Audited by Gen Agent Trust Hub on Oct 23, 2026
Risk Level: SAFEINDIRECT_PROMPT_INJECTIONCOMMAND_EXECUTIONEXTERNAL_DOWNLOADS
Full Analysis
- [INDIRECT_PROMPT_INJECTION]: The skill processes untrusted external data which could serve as a vector for indirect prompt injection attacks.
- Ingestion points: The skill uses functions such as
read_sbml_model,load_json_model, andload_yaml_model(found inSKILL.mdandreferences/api_quick_reference.md) to ingest user-provided metabolic model files. - Boundary markers: The instructions do not specify any boundary markers or delimiters to isolate content from these files or warn the agent to ignore embedded instructions.
- Capability inventory: The skill has access to the
Bashtool for package installation, theWritetool for creating CSV, PNG, and XML files, and network access via thecobralibrary to fetch remote models. - Sanitization: There is no evidence of sanitization or validation performed on the textual content within the model files before they are processed by the agent.
- [COMMAND_EXECUTION]: The skill provides instructions for executing shell commands to manage the environment and perform file operations.
- Evidence:
SKILL.mdandreferences/workflows.mdcontainuv pip installcommands for library installation and instructions for writing analysis results to the filesystem (e.g.,to_csv,savefig). - [EXTERNAL_DOWNLOADS]: The skill fetches metabolic models from external scientific repositories.
- Evidence: The
load_modelfunction inSKILL.mdis documented to fetch models from the BiGG and BioModels databases when network access is available. These are well-known and established scientific services.
Audit Metadata