Validate a COBRApy genome-scale metabolic model for mass/charge balance, stoichiometric consistency, biomass producibility, dead-end metabolites, thermodynamic loops, and GPR rule formatting. Outputs a structured validation report with errors and warnings.
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Low
Low-risk findings worth noting
Low
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
High likelihood: the workflow loads a JSON model from a runtime file path (`cobra.io.load_json_model("my_model.json")`) and then processes free-text fields like reaction IDs and especially GPR boolean rules (`rxn.gene_reaction_rule`) using regex extraction; those strings from the loaded model become LLM-readable text via the validation report/error/warning strings printed/serialized.
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