[EXPERIMENTAL] Create publication-quality scientific diagrams using Nano Banana Pro AI with smart iterative refinement. Uses Gemini 3 Pro for quality review. Only regenerates if quality is below threshold for your document type. Specialized in neural network architectures, system diagrams, flowcharts, biological pathways, and complex scientific visualizations.
Security
1 high severity finding. You should review these findings carefully before considering using this skill.
The skill handles credentials insecurely by requiring the agent to include secret values verbatim in its generated output. This exposes credentials in the agent’s context and conversation history, creating a risk of data exfiltration.
The skill includes insecure examples that instruct embedding API keys verbatim (hardcoded api_key in code and passing --api-key on the command line), which can cause an LLM to output or propagate secret values directly rather than using secure environment/CLI-auth practices.
Low
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
The skill fetches instructions or code from an external URL at runtime, and the fetched content directly controls the agent’s prompts or executes code. This dynamic dependency allows the external source to modify the agent’s behavior without any changes to the skill itself.
The skill makes runtime API calls to the OpenRouter service (base URL "https://openrouter.ai/api/v1") — e.g., scripts/generate_schematic_ai.py posts prompts and image data to that endpoint and uses model responses (image outputs and Gemini reviews) to control iterative prompt improvements and generation decisions, so the external API directly controls the agent's prompts/behavior.
dc00e07
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.