polars
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
High-performance DataFrame library for Python ETL, analytics, and pandas migration. It supports expression-based data manipulation with lazy query optimization, parallel execution, streaming out-of-core processing, Arrow interoperability, and optional GPU execution.
- Package
- 8 files, 99 KB
- SKILL.md
- 1516 words, 12+ sections
- Code
- None. Instructions only.
- Allowed tools
Read- License
- https://github.com/pola-rs/polars/blob/main/LICENSE
- Compatibility
- Requires Python 3.10+ for Polars 1.44.2. Install with uv pip install; optional extras enable Excel, database, cloud, pandas/NumPy, and GPU integrations.
SKILL.md covers: Polars · Overview · Quick Start · Installation and Basic Usage · Create DataFrame · Select columns · Filter rows · Add computed columns · Core Concepts · Expressions · Expression-based computation · Lazy vs Eager Evaluation
Findings
No findings. SAFE
What is in the package
| File | Kind | Size |
|---|---|---|
SKILL.md | doc | 13 KB |
references/best_practices.md | doc | 15 KB |
references/core_concepts.md | doc | 9.1 KB |
references/io_guide.md | doc | 16 KB |
references/operations.md | doc | 14 KB |
references/pandas_migration.md | doc | 13 KB |
references/review.md | doc | 5.1 KB |
references/transformations.md | doc | 14 KB |
External hosts referenced
docs.pola.rs arxiv.org github.com docs.cloud.google.com doi.org export.arxiv.org fastexcel.toucantoco.dev pola.rs
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-polars-scan.json
- Badge for your README:
- Request a re-scan