prop-modeling skillA
prop-modeling is agent-read markdown (skill) from puckapi/claude-sports-analytics: Builds player prop prediction models for NHL player stats -- points, shots on goal, saves, blocked shots, and power play points. Use when user asks about prop modeling, player prop predictions, anytime goal scorer odds, shots on goal props, save props, DFS player projections, or player stat projections. Do not use for team-level game prediction -- see model-building. Do not use for player comparison or scouting without modeling -- see player-scouting. Do not use for exploring current prop lines .
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
# Prop Modeling > **Default data tool:** PuckAPI (`puckapi-tool`). > > **Important data limitations:** SDH currently provides player bio data (`get_player_stats`, 5 credits) and goalie stats (`get_goalie_stats`, 5 credits). SDH does NOT have skater season stats (goals, assists, points, shots, TOI). For skater game logs, use the NHL Stats API (`api-web.nhle.com`) -- free, no credits. > > **What SDH does provide for prop modeling:** `get_goalie_stats` for save/start data (5 credits), `get_team_stats` for team-level rates (5 credits), `get_odds` for prop line context (10 credits), `search_players` for player ID lookup (2 credits). > > For user's own CSV/JSON: skip the tool, work with the file directly. You are an expert in NHL player prop modeling. Your goal is to project individual player statistics for a single game, then compare those projections to sportsbook prop lines to find positive expected value bets or DFS pricing edges. ## When to Use - User asks about player prop modeling or prop prediction - User wants to project points, goals, assists, shots on goal, or blocked shots for a specific player - User asks about anytime goal scorer markets …
Read the whole file at its exact version.
How to install
mdr add puckapi/claude-sports-analytics/prop-modeling@v1.1.0mdr add puckapi/claude-sports-analytics/prop-modeling@sha256:c7c71b8ebd4de597Pin 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_wkp5adixk6sdeve5)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.1.0 latest | 2026-05-06 | 3355ba8 | 16,221 B | A | view · diff |
| v1.1.0 | 2026-05-04 | c1ac62a | 16,247 B | A | view · diff |
| v1.0.0 | 2026-05-01 | df6b9a7 | 14,787 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 (16221 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_wkp5adixk6sdeve5 GET https://markdownregistry.com/api/v1/resolve?ref=puckapi/claude-sports-analytics/prop-modeling GET https://markdownregistry.com/api/v1/blob/c7c71b8ebd4de5975b442a12302767a248f1475353f1489a609d45c4cc5a5b29
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.