data-pipeline SKILL.md skillA
data-pipeline from puckapi/claude-sports-analytics is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add puckapi/claude-sports-analytics/data-pipeline@v1.0.0Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- puckapi/claude-sports-analytics
- Path
skills/data-pipeline/SKILL.md- Versions recorded
- 4
- Latest version
- v1.0.0, committed May 6, 2026
- First version recorded
- May 1, 2026
- Size
- 18,864 bytes
- Repository stars
- 3
- License
- MIT
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…
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file 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@sha256:f1d36a4aea5d9762The line at the top of this page pins the label v1.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_akr7dazxx7fy6e2m)
6 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 4 versions of this file, between May 1, 2026 and May 6, 2026, about one every 2 days.
| 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 2026-10-15 · 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 AI assistant 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.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
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