climpred-forecast-verification
climpred-forecast-verification is a Time series & forecasting skill for AI agents, published by pangeo-data in the climpred repository on GitHub. Skillspace rates climpred-forecast-verification C (79/100) and it passed the safety scan; a judge model has also reviewed it.
Verify weather and climate forecasts using climpred. Use when computing forecast skill metrics (RMSE, ACC, CRPS, etc.), comparing hindcasts to observations, bootstrapping significance, removing bias, or working with HindcastEnsemble/PerfectModelEnsemble objects. Triggers on: forecast verification, prediction skill, hindcast, climate prediction, skill score, predictability.
- Grade
- C
- Quality
- 79 / 100
- Safety
- Passed
- GitHub stars
- 258
Placed #5 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
- 97 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Vendor-specific: built around one product. Documents using the public climpred library, from its own repo
Judge review
Placed #5 of 6 in the judged category final for Time series & forecasting.
- Trigger
92 92 - Instructions
88 88 - Specificity
90 90 - Safety
80 80 - Disclosure
85 85 - Maintenance
65 65
Comprehensive parameter and metric reference for climate forecast verification with an explicit trigger-phrase list, light on internal versioning or test signals.
Not checked yet
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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