parallel-web
No security findings. Scanned 1 time, most recently 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
Uses Parallel CLI for web search, URL extraction, deep research, structured data enrichment, entity discovery, and recurring web monitoring. Best for requests that explicitly need current web evidence, academic-source discovery, repeated entity lookups, exhaustive reports, or ongoing change tracking.
- Package
- 8 files, 39 KB
- SKILL.md
- 1155 words, 11 sections
- Code
- None. Instructions only.
- License
- MIT
- Compatibility
- Requires parallel-cli 0.9.3, internet access, and a Parallel API key or CLI login. Python package installation requires Python 3.10+.
SKILL.md covers: Parallel Web Toolkit · Routing — pick the right capability · Decision guide · Academic source priority · Safety and command construction · Verify field-level evidence · Context chaining · Setup · Check task status · Polling limits · Citing Scientific Agent Skills
Findings
No findings. SAFE
What is in the package
| File | Kind | Size |
|---|---|---|
SKILL.md | doc | 8.7 KB |
references/api-contracts.md | doc | 7.5 KB |
references/data-enrichment.md | doc | 4.3 KB |
references/deep-research.md | doc | 3.8 KB |
references/findall.md | doc | 3.0 KB |
references/monitor.md | doc | 3.9 KB |
references/web-extract.md | doc | 2.9 KB |
references/web-search.md | doc | 5.1 KB |
External hosts referenced
docs.parallel.ai arxiv.org github.com api.parallel.ai company.com doi.org export.arxiv.org
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
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-parallel-web-scan.json
- Badge for your README:
- Request a re-scan