literature-review
7 findings (3 critical, 2 medium, 2 low), mainly data exfiltration, unauthorized tool use. Most recent scan 2026-10-21.
Second scanner: NVIDIA SkillSpector
Independent static run, no language model, over the same files as the Cisco scan above. How the two scanners compare across the whole corpus: Two scanners, one corpus.
What this skill does
Conducts systematic, scoping, and narrative literature reviews using PubMed, arXiv, bioRxiv, Semantic Scholar, and other appropriate sources. Use for research synthesis, reproducible literature searches, screening, citation checking, or preparing Markdown and PDF reviews. Tracks search coverage, records versus studies, and evidence limitations; supports meta-analysis planning but does not supply a meta-analysis engine.
- Package
- 12 files, 128 KB
- SKILL.md
- 1445 words, 12+ sections
- Code
- Python (5)
- Allowed tools
ReadWriteEditBash- License
- MIT license
- Compatibility
- Python 3.10+ with requests; network for DOI checks and searches. Optional parallel-cli requires Parallel authentication. PDF export needs Pandoc and XeLaTeX; AI schematics need OPENROUTER_API_KEY.
SKILL.md covers: Literature Review · Overview · When to Use This Skill · Figures and PRISMA reporting · Core Workflow · Best Practices · Search Strategy · Records, Reports, and Studies · Screening and Selection · Synthesis · Quality and Reproducibility · Writing
Findings
CRITICAL Cross-file env var exfiltration: 3 files Data Exfiltrationbehavioral
Environment variable access with network calls in scripts/generate_schematic_ai.py, scripts/generate_schematic.py
CRITICAL Cross-file exfiltration chain: 3 files Data Exfiltrationbehavioral
Multi-file exfiltration chain detected: scripts/generate_schematic_ai.py, scripts/generate_schematic.py collect data → scripts/generate_schematic_ai.py → scripts/generate_schematic_ai.py, scripts/verify_citations.py transmit to network
CRITICAL Environment variable access with network calls detected Data Exfiltrationbehavioral
Script accesses environment variables and makes network calls in /home/runner/work/skill-scanner-test/skill-scanner-test/skills/K-Dense-AI-scientific-agent-skills/skills/literature-review/scripts/generate_schematic_ai.py
/home/runner/work/skill-scanner-test/skill-scanner-test/skills/K-Dense-AI-scientific-agent-skills/skills/literature-review/scripts/generate_schematic_ai.py
MEDIUM Code makes network requests Unauthorized Tool Usestatic
Skill code makes network requests. While not controlled by allowed-tools, network access should be documented and justified in the skill description.
SKILL.md
MEDIUM Outbound network request primitives that can transmit data externally Data Exfiltrationstatic
Pattern detected: requests.post(
scripts/generate_schematic_ai.py:263
response = requests.post(LOW Code uses search/grep patterns but Grep tool not in allowed-tools Unauthorized Tool Usestatic
Skill restricts tools to ['Read', 'Write', 'Edit', 'Bash'] but code uses regex search patterns
SKILL.md
LOW Script contacts a destination the documentation never mentions Unauthorized Tool Usestatic
Script contacts or configures 'openrouter.ai' but the skill documentation never visibly mentions it. Undocumented network destinations can indicate behaviour the manifest and description do not disclose.
scripts/generate_schematic_ai.py:235
What is in the package
| File | Kind | Size |
|---|---|---|
SKILL.md | doc | 13 KB |
assets/review_template.md | doc | 13 KB |
references/citation_styles.md | doc | 7.4 KB |
references/core_workflow.md | doc | 12 KB |
references/database_strategies.md | doc | 10 KB |
references/example_workflow.md | doc | 3.0 KB |
references/search_and_citation.md | doc | 4.6 KB |
scripts/generate_pdf.py | script | 4.9 KB |
scripts/generate_schematic.py | script | 7.6 KB |
scripts/generate_schematic_ai.py | script | 35 KB |
scripts/search_databases.py | script | 8.6 KB |
scripts/verify_citations.py | script | 9.7 KB |
External hosts referenced
doi.org arxiv.org openrouter.ai www.prisma-statement.org apastyle.apa.org api.crossref.org api.semanticscholar.org export.arxiv.org pubmed.ncbi.nlm.nih.gov www.cochrane.org api.biorxiv.org help.openalex.org pandoc.org training.cochrane.org www.nature.com www.ncbi.nlm.nih.gov www.nlm.nih.gov amstar.ca api.openalex.org community.crossref.org docs.parallel.ai eutilities.github.io eutils.ncbi.nlm.nih.gov ieeeauthorcenter.ieee.org info.arxiv.org meshb.nlm.nih.gov ncbiinsights.ncbi.nlm.nih.gov scholar.google.com www.chicagomanualofstyle.org www.crd.york.ac.uk
Hostnames that appear in the skill's files. Referencing a host is not a finding; compare against the findings above and the skill's stated purpose.
Environment variables referenced
OPENROUTER_API_KEY PARALLEL_API_KEY
Package contents recorded 2026-10-22 at commit 593377bb0487. The scan above ran against the version current at scan time; the two can differ if the skill has since been updated.
What we checked
- Static analyzer. Pattern rules over SKILL.md and bundled files: known-bad commands, exfiltration URLs, secrets, obfuscation.
- Bytecode analyzer.
- Pipeline analyzer.
- Correlation analyzer.
- Behavioral analyzer. Checks what the skill asks the agent to do against what its description claims it does.
- Trigger analyzer. Looks for instructions that fire on conditions the user did not ask for.
What we did not check
- Runtime behaviour. The skill was not executed; findings come from reading its files.
- Anything fetched at install or run time, including remote scripts, package dependencies, and URLs the skill tells the agent to open.
- Content the analyzers cannot read: images, binaries, and some non-English text.
- Known scanner bypass classes. See the methodology and limitations page.
Sources
- Repository: https://github.com/K-Dense-AI/scientific-agent-skills
- Raw scan result: skills-literature-review-scan.json
- Badge for your README:
 - Request a re-scan