vaex
No security findings. Scanned 1 time, most recently 2026-10-21.
Second scanner: NVIDIA SkillSpector
SkillSpector found no issues but could not fully inspect the package, usually because SKILL.md refers to a file that is not present, so it fails closed to CAUTION instead of SAFE. Read it as "not fully checked", not as a finding. How the two scanners compare across the whole corpus: Two scanners, one corpus.
What this skill does
Processes large tabular scientific datasets with Vaex expressions, filtered views, streamed statistics, binned visualizations, and file conversion. Use for larger-than-RAM HDF5, Arrow, CSV, or Parquet analysis, virtual feature engineering, or Vaex ML preprocessing; distinguishes these operations from estimators and conversions that materialize data.
- Package
- 8 files, 51 KB
- SKILL.md
- 871 words, 9 sections
- Code
- None. Instructions only.
- Allowed tools
ReadWriteEditBashGrepGlob- License
- MIT license
- Compatibility
- Requires Python 3.9-3.12 for vaex-core 4.19.0; tested on Python 3.12. Install vaex-core plus vaex-hdf5, vaex-viz, or vaex-ml as needed. Package installation and remote data need network access; local workflows need no credentials.
SKILL.md covers: Vaex · When to use · Installation and verified scope · Optional ML (also installs its declared estimator dependencies): · Workflow · Small executable example · Reference map · Failure checks · Citing Scientific Agent Skills
Findings
No findings. SAFE
What is in the package
| File | Kind | Size |
|---|---|---|
SKILL.md | doc | 7.5 KB |
references/core_dataframes.md | doc | 4.6 KB |
references/data_processing.md | doc | 7.1 KB |
references/io_operations.md | doc | 7.6 KB |
references/machine_learning.md | doc | 9.8 KB |
references/performance.md | doc | 5.1 KB |
references/review.md | doc | 4.5 KB |
references/visualization.md | doc | 5.0 KB |
External hosts referenced
vaex.io pypi.org arxiv.org github.com matplotlib.org 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.
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-vaex-scan.json
- Badge for your README:
- Request a re-scan