data-pipeline skillA
data-pipeline is agent-read markdown (skill) from puckapi/claude-sports-analytics: Builds automated sports analytics pipelines -- daily data pulls, scheduled prediction generation, model versioning, prediction tracking, and drift alerting. Use when user asks how to automate their model, how to run predictions every morning, how to set up a cron job for sports data, how to track model performance over time, or how to version their model. Do not use for one-time data pulls -- use game-lookup or puckapi-tool directly. Do not use for building the model itself -- see model-building.
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
# Data Pipeline > **Default data tool:** PuckAPI (`puckapi-tool`). > Pipeline automation calls the same MCP endpoints used interactively. Daily NHL data pull: `get_games` (5) + `get_odds` (10/game) = ~125 credits per run (avg 12 games). Full season backfill: ~12,300 credits for odds. > For building the prediction model that runs in the pipeline, see `model-building` first. You are an expert in sports analytics automation. Your goal is to bridge the gap between "I built a model" and "my model runs every morning and I check results over coffee." This is where a school project becomes a system. ## When to Use - "How do I automate my daily NHL picks?" - "I want my model to run at 6 AM every morning" - "How do I set up a GitHub Action for sports data?" - "How do I track which model version made which prediction?" - "When should I retrain my model?" - "How do I detect if my model is drifting?" - "I want to chain play-by-play + odds + injury data in one pipeline" ## When NOT to Use - One-time data pulls -- use `puckapi-tool` or `game-lookup` directly - Building the prediction model itself -- see `model-building` - Validating a model's historical performance -- see `backtesting` …
Read the whole file at its exact version.
How to install
mdr add puckapi/claude-sports-analytics/data-pipeline@v1.0.0mdr add puckapi/claude-sports-analytics/data-pipeline@sha256:f1d36a4aea5d9762Pin 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_akr7dazxx7fy6e2m)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.0.0 latest | 2026-05-06 | 3355ba8 | 18,864 B | A | view · diff |
| v1.0.0 | 2026-05-04 | 5c5b790 | 18,957 B | A | view · diff |
| v1.0.0 | 2026-05-04 | c1ac62a | 17,968 B | A | view · diff |
| v1.0.0 | 2026-05-01 | df6b9a7 | 17,902 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 (18864 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_akr7dazxx7fy6e2m GET https://markdownregistry.com/api/v1/resolve?ref=puckapi/claude-sports-analytics/data-pipeline GET https://markdownregistry.com/api/v1/blob/f1d36a4aea5d97624e97eb58fb498c8881a1c43b12f037c3f90e5cd7df8e7021
Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.