Literature Review

PassAudited by ClawScan on May 1, 2026.

Overview

This looks like a legitimate literature-review helper, but it relies on local commands and external services, including an undeclared schematic-generation dependency users should review.

Before installing, be comfortable with the agent reading and writing review files, running local Python/pandoc-style commands, and contacting academic or AI services. Verify the referenced schematic-generation dependency, keep work in a dedicated project folder, and only provide API keys or sensitive research details when necessary.

Findings (5)

Artifact-based informational review of SKILL.md, metadata, install specs, static scan signals, and capability signals. ClawScan does not execute the skill or run runtime probes.

What this means

The agent may add AI-generated figures or invoke another skill even if the user did not specifically ask for visuals.

Why it was flagged

The skill explicitly forces an additional figure-generation step. It is disclosed and related to document quality, but it may override a user's preference for a text-only review.

Skill content
MANDATORY: Every literature review MUST include at least 1-2 AI-generated figures ... This is not optional.
Recommendation

Confirm whether figures are desired before finalizing a review, and let user instructions override the skill's default if the user requests no figures.

What this means

Figure generation may fail or may depend on code/service behavior outside this package.

Why it was flagged

The workflow references a schematic-generation helper and external skill dependency that are not part of the included scripts, so users should verify that dependency's provenance before relying on it.

Skill content
python scripts/generate_schematic.py "your diagram description" -o figures/output.png
Recommendation

Verify the scientific-schematics skill or helper script before use, and avoid running unreviewed helper code automatically.

What this means

The agent may run local document-conversion tools and create or overwrite review PDFs at chosen output paths.

Why it was flagged

The PDF generator runs local pandoc/xelatex commands. This is expected for PDF creation, but it means the skill can execute local programs and write output files.

Skill content
cmd = ['pandoc', markdown_file, '-o', str(output_pdf), '--pdf-engine=xelatex', ...]; subprocess.run(cmd, capture_output=True, text=True, check=True)
Recommendation

Approve only expected document-generation commands and keep output paths limited to the intended project directory.

What this means

If a user supplies an API key, the agent may be able to make requests against that academic-service account.

Why it was flagged

The documentation mentions an API key for one academic provider. This is purpose-aligned, and there is no evidence of hardcoded or leaked credentials, but users should understand any account credential they provide.

Skill content
Semantic Scholar ... Access: Direct API (requires API key)
Recommendation

Use a dedicated, least-privileged API key when needed, and do not place secrets in review documents or search-result files.

What this means

Diagram descriptions, review topics, or summarized research content may be sent to an external AI figure-generation service.

Why it was flagged

The skill directs the agent to use another skill and an external AI image-generation provider. This is disclosed and relevant to figure creation, but it creates a separate data boundary.

Skill content
Use the scientific-schematics skill ... Nano Banana Pro will automatically generate, review, and refine the schematic
Recommendation

Avoid sending confidential, unpublished, or sensitive research details to the schematic generator unless the provider's data handling is acceptable.