statsmodels
Statistical models library for Python. Use when you need specific model classes (OLS, GLM, mixed models, ARIMA) with detailed diagnostics, residuals, and inference. Best for econometrics, time series, rigorous inference with coefficient tables. For guided statistical test selection with APA reporting use statistical-analysis.
86
82%
Does it follow best practices?
Impact
98%
1.03xAverage score across 3 eval scenarios
Passed
No findings from the security scan
| Run | Type | Date | Status |
|---|---|---|---|
baseline vs usage-spec With / without contextCompleted | With / without context | Completed |
Eval run
019cb419-4393-722f-aafd-993ccc519f71
Run
Stats are not available yet
The run is available. Its result stats will appear here when they are ready.
- Repository
- wu-yc/LabClaw
- Commit
df37802
- Evaluated
- Agent
- Claude Code
- Model
- Claude Sonnet 4.6
Table of Contents
Is this your skill?
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.