scientific-schematics
Create publication-quality scientific diagrams using Nano Banana 2 AI with smart iterative refinement. Uses Gemini 3.1 Pro Preview 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.
60
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High
Do not use without reviewing
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tessl review fix ./.claude/skills/scientific-schematics/SKILL.mdSecurity
1 high severity finding. You should review these findings carefully before considering using this skill.
W007: Insecure credential handling detected in skill instructions.
What this means
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.
Why it was flagged
The skill includes examples that embed an API key verbatim (passing api_key="..." in Python and using a --api-key CLI flag), which would require the LLM to produce or handle secret values directly in generated code/commands.
Low
Low-risk findings.
2 low severity findings. Worth noting, but not necessarily harmful.
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
The required runtime workflow directly ingests outsider-authored free text as the diagram prompt (command-line `prompt` → `generate_iterative(user_prompt)` → sent as `review_prompt`/`USER REQUEST` to Gemini 3.1 Pro Preview for quality scoring).
W012: Unverifiable external dependency detected (runtime URL that controls agent).
What this means
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.
Why it was flagged
The skill makes runtime API calls to OpenRouter at https://openrouter.ai/api/v1 (used in scripts/generate_schematic_ai.py) and uses the model's review text/critique returned by that endpoint to programmatically improve generation prompts, so external content directly controls subsequent prompts.
- Repository
- K-Dense-AI/claude-scientific-writer
- Commit
4717803
- Audited
- Security analysis
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