prediction-intervals
prediction-intervals is a Time series & forecasting skill for AI agents, published by skforecast in the skforecast repository on GitHub. Skillspace rates prediction-intervals D (64/100) and it passed the safety scan; a judge model has also reviewed it.
Generates prediction intervals for time series forecasts using bootstrapping, conformal prediction, or built-in statistical model intervals. Covers interval configuration, residual management, and calibration. Use when the user needs uncertainty quantification for forecasts.
- Grade
- D
- Quality
- 64 / 100
- Safety
- Passed
- GitHub stars
- 1,512
Placed #2 of 6 in the judged category final for Time series & forecasting.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 81 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- BSD-3-Clause
- Adoption
- Adopted by 1 other repositories, in 0 collections
- Scope
- Vendor-specific: built around one product. Documents skforecast library usage from inside the library's repo
Judge review
Placed #2 of 6 in the judged category final for Time series & forecasting.
- Trigger
85 85 - Instructions
92 92 - Specificity
93 93 - Safety
80 80 - Disclosure
88 88 - Maintenance
75 75
Extremely precise about library-version-specific behavior (the 0.23.0 quantile-vs-percentile change) with a stop-conditions table mapping exact errors to fixes.
Not checked yet
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.