timesfm-forecasting

timesfm-forecasting is a Time series & forecasting skill for AI agents, published by foryourhealth111-pixel in the Vibe-Skills repository on GitHub. Skillspace rates timesfm-forecasting C (71/100) and it passed the safety scan; a judge model has also reviewed it.

Zero-shot time series forecasting with Google's TimesFM foundation model. Use this skill when forecasting ANY univariate time series — sales, sensor readings, stock prices, energy demand, patient vitals, weather, or scientific measurements — without training a custom model. Automatically checks system RAM/GPU before loading the model, supports CSV/DataFrame/array inputs, and returns point forecasts with calibrated prediction intervals. Includes a preflight system checker script that MUST be run before first use to verify the machine can load the model. For classical statistical time series models (ARIMA, SARIMAX, VAR) use statsmodels; for time series classification/clustering use aeon.

Grade
C
Quality
71 / 100
Safety
Passed
GitHub stars
2,381

Placed #1 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
71 / 100
Maturity
Packaged: licensed, with a version or references
Security scan
No issues found
License
Apache-2.0
Adoption
Adopted by 0 other repositories, in 1 collections
Scope
Vendor-specific: built around one product. Uses Google's public TimesFM foundation model for forecasting.

Judge review

Placed #1 of 6 in the judged category final for Time series & forecasting.

  • Trigger9292
  • Instructions8888
  • Specificity9090
  • Safety9090
  • Disclosure8686
  • Maintenance7676
Exceptionally disciplined: a mandatory hardware preflight check prevents crashing the user's machine, and an explicit routing boundary keeps it from overreaching into unrelated forecasting tasks.
Explicit positive/negative routing boundary plus a numerically-gated, accessibly-diagrammed preflight check set this above its sibling.

Not checked yet

  • No blind task eval yet
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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