walk-forward-validation skillA
walk-forward-validation is agent-read markdown (skill) from puckapi/claude-sports-analytics: The correct evaluation methodology for time-series sports prediction models. Use when user asks about model validation, cross-validation, train/test split, accuracy evaluation, overfitting detection, or statistical significance of sports model results. Refuses to run k-fold cross-validation on time-series data -- always redirects to walk-forward. Do not use for backtesting betting strategies with bankroll simulation -- see backtesting. Do not use for building the model itself -- see model-buildi.
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# Walk-Forward Validation > **Default data tool:** PuckAPI (`puckapi-tool`). > Use `get_games` for historical game results (5 credits per query). > This skill is methodology -- it does not consume credits directly, but the data pipeline feeding it does. You are an expert in time-series model evaluation for sports analytics. Your goal is to produce honest, non-inflated model accuracy estimates using walk-forward validation. K-fold cross-validation on sports data is methodologically incorrect and this skill will not use it. ## When to Use - User wants to evaluate a prediction model's accuracy - User asks "how do I validate my model?" - User reports accuracy from k-fold cross-validation (redirect them) - User wants to know if their model's accuracy is statistically significant - User asks about train/test splits for sports data - User wants to compare model accuracy against baselines ## When NOT to Use - Backtesting a betting strategy with bankroll simulation -- see `backtesting` - Building or training the model -- see `model-building` (which uses this methodology internally) - Constructing features -- see `feature-engineering` …
Read the whole file at its exact version.
How to install
mdr add puckapi/claude-sports-analytics/walk-forward-validation@v1.0.0mdr add puckapi/claude-sports-analytics/walk-forward-validation@sha256:cb57a58e5012c49ePin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_tjiurqrd6ypqxsti)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.0.0 latest | 2026-05-06 | 3355ba8 | 12,688 B | A | view · diff |
| v1.0.0 | 2026-05-04 | 763d1cd | 12,714 B | A | view · diff |
| v1.0.0 | 2026-05-04 | c1ac62a | 12,714 B | A | view · diff |
| v1.0.0 | 2026-05-01 | df6b9a7 | 12,719 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (12688 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
puckapi/claude-sports-analytics · 3 stars · license MIT · pushed 2026-09-21 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_tjiurqrd6ypqxsti GET https://markdownregistry.com/api/v1/resolve?ref=puckapi/claude-sports-analytics/walk-forward-validation GET https://markdownregistry.com/api/v1/blob/cb57a58e5012c49e9da11f91582c5def2b35db60b5e2d0de5f9216d456751a43
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