seaborn
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
Creates Seaborn statistical visualizations with pandas integration for distributions, relationships, categorical comparisons, regression displays, pair plots, and heatmaps. Supports function and objects interfaces with explicit aggregation, uncertainty, and missing-data handling. Best suited to static exploratory plots; plotly covers interactive figures and scientific-visualization covers publication styling.
- Package
- 8 files, 92 KB
- SKILL.md
- 1514 words, 12+ sections
- Code
- None. Instructions only.
- Allowed tools
ReadWriteEditBash- License
- BSD-3-Clause license
- Compatibility
- Requires Python 3.8+ with seaborn 0.13.2, NumPy, pandas, and Matplotlib; the tested current dependency stack requires Python 3.12+. Optional scipy/statsmodels for advanced regression or clustering, ipywidgets for notebook controls. Network only for installation or uncached example datasets.
SKILL.md covers: Seaborn Statistical Visualization · Overview · Environment and Installation · Reproducible install for examples in this skill · Include optional statistical dependencies when needed · Design Philosophy · Quick Start · Load example dataset · Create a simple visualization · Core Plotting Interfaces · Function Interface (Traditional) · Objects Interface (Modern)
Findings
No findings. SAFE
What is in the package
| File | Kind | Size |
|---|---|---|
SKILL.md | doc | 13 KB |
references/examples.md | doc | 22 KB |
references/function_reference.md | doc | 28 KB |
references/grids_and_levels.md | doc | 2.9 KB |
references/objects_interface.md | doc | 11 KB |
references/palettes_and_theming.md | doc | 2.9 KB |
references/patterns_and_troubleshooting.md | doc | 4.9 KB |
references/plotting_functions.md | doc | 6.5 KB |
External hosts referenced
seaborn.pydata.org arxiv.org docs.scipy.org doi.org export.arxiv.org pandas.pydata.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-seaborn-scan.json
- Badge for your README:
- Request a re-scan