anofox-forecast-models
anofox-forecast-models is a Time series & forecasting skill for AI agents, published by DataZooDE in the anofox-forecast repository on GitHub. Skillspace rates anofox-forecast-models D (63/100) and it passed the safety scan; the rating is based on static analysis only.
Forecasting models and the `ts_forecast_by` API surface of the anofox_forecast DuckDB extension. Covers 33 models (baseline, exponential smoothing, state-space, ARIMA, Theta, multi-seasonal, intermittent-demand, distributional Laplace with three variants), parameter surfaces (MAP + STRUCT), model selection guidance, and common workflow gotchas. Use when picking a model or writing `ts_forecast_by` / `ts_forecast_agg` calls.
- Grade
- D
- Quality
- 63 / 100
- Safety
- Passed
- GitHub stars
- 35
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
- 80 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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