war-gar-decomposition SKILL.md skillA
war-gar-decomposition 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/war-gar-decomposition@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/war-gar-decomposition/SKILL.md- Versions recorded
- 4
- Latest version
- v1.0.0, committed May 6, 2026
- First version recorded
- May 1, 2026
- Size
- 15,306 bytes
- Repository stars
- 3
- License
- MIT
Builds WAR (Wins Above Replacement) and GAR (Goals Above Replacement) from scratch using RAPM ridge regression on shift-level data. Use when user asks about WAR, GAR, RAPM, player value metrics, wins above replacement, contract surplus value, JFresh-style player cards, or all-in-one player evaluation. Do not use for simple player stats lookup -- see player-scouting. Do not use for goalie evaluation -- goalies use GSAA not WAR, see goalie-analysis. Do not use for team-level performance -- 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
# WAR/GAR Decomposition > **Default data tool:** PuckAPI (`puckapi-tool`). > Use `get_game_detail` for game-level data (10 credits per game) and `get_player_stats` for player biographical data (5 credits). > Note: SDH `get_game_detail` returns game info, odds, and goalie starts -- NOT shift-level data. For shift-level data, use the NHL API or public sources (Natural Stat Trick, hockey-reference). > Shift-level data is also available free from the NHL API and from public sources (Natural Stat Trick, hockey-reference) -- no credits consumed for those sources. > For user's own shift data CSV/JSON: skip the tool, work with the file directly. You are an expert in advanced hockey player evaluation. Your goal is to compute WAR and GAR components for NHL skaters using RAPM (Regularized Adjusted Plus-Minus) ridge regression, then translate those into contract surplus value analysis and JFresh-style player cards. ## When to Use - User asks about WAR, GAR, RAPM, or wins above replacement for hockey players - User wants to evaluate player value beyond box score stats - User asks about contract surplus value or cap efficiency …
Read the whole file at its exact version.
How to install
mdr add puckapi/claude-sports-analytics/war-gar-decomposition@sha256:466183e4590da52dThe 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_cfpm7fgqg5pfwlhv)
2 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 | 15,306 B | A | view · diff |
| v1.0.0 | 2026-05-04 | 5c5b790 | 15,353 B | A | view · diff |
| v1.0.0 | 2026-05-04 | c1ac62a | 15,277 B | A | view · diff |
| v1.0.0 | 2026-05-01 | df6b9a7 | 15,081 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 (15306 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_cfpm7fgqg5pfwlhv GET https://markdownregistry.com/api/v1/resolve?ref=puckapi/claude-sports-analytics/war-gar-decomposition GET https://markdownregistry.com/api/v1/blob/466183e4590da52df9107b0a856712a78a63f9e1f59b42ae68511b1c518ce39d
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.