Provides data cleaning, quality checks, statistical test selection, analysis, and academic interpretation for quantitative behavioral and experimental datasets.
Security Analysis
high confidenceThis skill is a plain data-cleaning and statistics guidance skill with no executable code or hidden access behavior.
The artifact coherently focuses on inspecting user-provided datasets, cleaning data, choosing statistical tests, and reporting academic interpretations.
Instructions are scoped to user-supplied research data and explicitly advise preserving original data unless the user asks for a cleaned file.
The package contains only a non-executable SKILL.md file, no dependencies, no install scripts, and clean static and SkillSpector scans.
The skill may be used with sensitive research, behavioral, clinical, or questionnaire datasets, but that data handling is expected for the stated purpose and depends on user-provided files.
No persistence, privilege escalation, credential access, background execution, network behavior, broad local indexing, or destructive actions are present in the artifact.
Guidance
Safe to install for data cleaning and statistical analysis help. Users should avoid sharing identifiable participant, clinical, or confidential research data unless they have permission and an appropriate privacy workflow.
Latest Release
v1.0.0
Initial release of the Data Cleaning and Statistical Analysis Skill: - Supports data cleaning, validation, and quality checking for experimental, questionnaire, and behavioral datasets. - Guides choice and performance of statistical analyses, including t-tests, ANOVA (various types), regression, correlation, and nonparametric tests. - Produces academic-style interpretations, result summaries, tables, and explanations suitable for theses or research reports. - Handles various file formats (CSV, Excel, SPSS, etc.) and accommodates design details like grouping and experimental conditions. - Provides dataset inspection, cleaning decisions, test recommendations, and step-by-step statistical reasoning.
Popular Skills
Published by @scc-nyy on ClawHub
