peer-review
Structured manuscript/grant review with checklist-based evaluation. Use when writing formal peer reviews with specific criteria methodology assessment, statistical validity, reporting standards compliance (CONSORT/STROBE), and constructive feedback. Best for actual review writing, manuscript revision. For evaluating claims/evidence quality use scientific-critical-thinking; for quantitative scoring frameworks use scholar-evaluation.
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Low
Low-risk findings worth noting
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
In `scripts/generate_schematic_ai.py`, the outsider-provided `prompt` is directly embedded into the runtime `review_prompt` and `current_prompt` (as well as passed to the image-generation model), then the LLM consumes that free text for iterative review/refinement via `review_image()` and `generate_image()`.
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 scripts call the OpenRouter API at https://openrouter.ai/api/v1 at runtime to perform image generation and quality-review requests whose responses (critiques and generated images) are used to drive prompt improvements and control iterative behavior, making this a required external dependency that directly controls agent prompts.
- Repository
- K-Dense-AI/claude-scientific-writer
- Commit
4717803
- Audited
- Security analysis
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