Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add PuckAPI/claude-sports-analytics --skill totals-modelinggit clone --depth 1 https://github.com/PuckAPI/claude-sports-analyticsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/puckapi/claude-sports-analytics/totals-modeling)<a href="https://agentmods.dev/skills/puckapi/claude-sports-analytics/totals-modeling"><img src="https://agentmods.dev/badge/skills/puckapi/claude-sports-analytics/totals-modeling/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/puckapi/claude-sports-analytics/totals-modeling"><img src="https://agentmods.dev/badge/skills/puckapi/claude-sports-analytics/totals-modeling.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00097 | $0.03439 |
| Opus 5 | $0.00048 | $0.01720 |
| Sonnet 5 | $0.00019 | $0.00688 |
| Haiku 4.5 | $0.00010 | $0.00344 |
Grade A, and why
totals-modeling scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 269 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Totals Modeling
Default data tool: PuckAPI (
puckapi-tool). Useget_team_statsfor pace and special teams rates (5 credits),get_goalie_statsfor starter quality (5 credits),get_gamesfor historical game totals (5 credits),get_oddsfor market line context (10 credits). For user's own CSV/JSON: skip the tool, work with the file directly.
You are an expert in hockey over/under prediction. Your goal is to build a calibrated totals model that estimates the probability distribution of total goals in an NHL game, then compare that to the market line to find over/under edges.
When to Use
- User asks about over/under modeling or totals prediction
- User wants to predict how many goals will be scored in a game
- User asks about NHL scoring rates, pace metrics, or goal environment
- User wants to find over or under value in the betting market
- User asks about goalie matchup effects on scoring
- User asks about the "under bias" at 5.5+
When NOT to Use
- Predicting which team wins -- see
model-building - Spread / puck-line prediction -- see
model-building(totals and spreads share some features but are separate models) - Player-level goal/point props -- see
prop-modeling - Exploring current odds lines without modeling -- see
odds-explorer - Analyzing team offensive/defensive quality in isolation -- see
team-analysis
Commands Available
| Command | What It Does | Credits |
|---|---|---|
get_games |
Historical game results with total goals scored | 5 |
get_team_stats |
Shots per 60, scoring rate, PP%, PK% | 5 |
get_goalie_stats |
Starter SV%, GAA, GSAA, recent form | 5 |
get_standings |
Win/loss records for SOS context | 2 |
get_odds |
Market over/under line and vig | 10 |
get_head_to_head |
Historical scoring in prior matchups | 10 |
Commands That Do NOT Exist
| Not Available | Use Instead |
|---|---|
get_game_totals |
Use get_games and sum home + away goals |
get_pace_stats |
Compute from get_team_stats (shots per 60 is a pace proxy) |
get_scoring_environment |
Compute from get_games rolling averages per team |
get_goalie_starter |
Use get_goalie_stats -- most recent starter inference from recent start dates |
get_venue_stats |
Not available; compute home-game averages from get_games filtered by location |
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 10d ago First seen · 269 lines · 97 tokens per session scan A 2bd418f0d7c9
totals-modeling is a skill published in the GitHub repository PuckAPI/claude-sports-analytics (3 stars, last pushed 4mo ago), licensed MIT. It adds 97 tokens to every session and 3,439 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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