statistical-analysis
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
Guided statistical analysis for research data - test selection, assumption checking, effect sizes, power analysis, Bayesian alternatives, and APA-formatted reporting. Use whenever a user wants to compare groups, test a hypothesis, analyze experimental or survey data, check statistical assumptions, compute required sample sizes, or write up results - even if they never name a specific test. Covers t-tests, ANOVA, chi-square, correlation, regression, non-parametric and Bayesian methods. For low-level model APIs, see the statsmodels and pymc skills.
- Package
- 7 files, 118 KB
- SKILL.md
- 2992 words, 12+ sections
- Code
- Python (1)
- License
- MIT license
- Compatibility
- Requires Python 3.12+ and the documented isolated scientific Python environment; network access only for installation and documentation.
SKILL.md covers: Statistical Analysis · Overview · When to Use This Skill · Installation · Optional Bayesian examples: · Analysis Workflow · Test Selection Guide · Quick Reference: Choosing the Right Test · Assumption Checking · Within-group outlier screens, normality and variance diagnostics; with plots · What to Do When Assumptions Are Violated · Running Statistical Tests
Findings
No findings. SAFE
What is in the package
| File | Kind | Size |
|---|---|---|
SKILL.md | doc | 23 KB |
references/assumptions_and_diagnostics.md | doc | 14 KB |
references/bayesian_statistics.md | doc | 14 KB |
references/effect_sizes_and_power.md | doc | 20 KB |
references/reporting_standards.md | doc | 21 KB |
references/test_selection_guide.md | doc | 6.8 KB |
scripts/assumption_checks.py | script | 18 KB |
External hosts referenced
pingouin-stats.org docs.scipy.org python.arviz.org www.pymc.io www.statsmodels.org arxiv.org apastyle.apa.org bambinos.github.io doi.org export.arxiv.org mc-stan.org osf.io pystan.readthedocs.io www.consort-spirit.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-statistical-analysis-scan.json
- Badge for your README:
- Request a re-scan