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gsmm-validator

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.

73

Quality

91%

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Low

Low-risk findings.

1 low severity finding. Worth noting, but not necessarily harmful.

Low

W011: Third-party content exposure detected (indirect prompt injection risk).

What this means

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.

Why it was flagged

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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Repository
aiming-lab/AutoResearchClaw
Audited
Security analysis
Snyk

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If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.