forecasting-reverso
forecasting-reverso is a Time series & forecasting skill for AI agents, published by oaustegard in the claude-skills repository on GitHub. Skillspace rates forecasting-reverso B (81/100) and it passed the safety scan; the rating is based on static analysis only.
Zero-shot univariate time series forecasting using the Reverso foundation model (NumPy/Numba CPU-only inference). Activate when users provide time series data and request forecasts, predictions, or extrapolations. Supports Reverso Small (550K params). Triggers on "forecast", "predict", "time series", "Reverso", or when tabular data with a temporal dimension needs future-value estimation.
- Grade
- B
- Quality
- 81 / 100
- Safety
- Passed
- GitHub stars
- 129
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 2 collections
- Scope
- Portable: works in any project. Self-contained time series forecasting with bundled CPU scripts
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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