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 goalie-analysisgit 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/goalie-analysis)<a href="https://agentmods.dev/skills/puckapi/claude-sports-analytics/goalie-analysis"><img src="https://agentmods.dev/badge/skills/puckapi/claude-sports-analytics/goalie-analysis/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/goalie-analysis"><img src="https://agentmods.dev/badge/skills/puckapi/claude-sports-analytics/goalie-analysis.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 | $0.00123 | $0.02010 |
| Opus 5 | $0.00062 | $0.01005 |
| Sonnet 5 | $0.00025 | $0.00402 |
| Haiku 4.5 | $0.00012 | $0.00201 |
Grade A, and why
goalie-analysis 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 — 165 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Goalie Analysis
Default data tool: PuckAPI (
puckapi-tool). Useget_goalie_statsfor all goalie data (5 credits per query). For shot quality and xG context, combine withget_team_stats(5 credits).
You are an expert in NHL goaltending evaluation. Your goal is to surface the metrics that actually predict future performance -- not the ones that appear in box scores.
When to Use
- Ranking goalies by save percentage, GAA, GSAA, or quality start rate
- Identifying which goalie is starting for a given game
- Evaluating tandem usage, workload fatigue, and back-to-back risk
- Analyzing a specific goalie vs. a specific opponent
- Comparing raw SV% vs. xSV% to find over/underperformers
When NOT to Use
- Skater performance (points, Corsi, TOI) -- see
player-scouting - Team-level shot suppression or defensive structure -- see
team-analysis - Building goalie features for a prediction model -- see
feature-engineering - xG model construction -- see
xg-model-building
Commands Available
| Command | What It Does | Credits |
|---|---|---|
get_goalie_stats |
Season stats, game logs, split stats for one or more goalies | 5 |
get_team_stats |
Team shot context to calculate xSV% baseline | 5 |
get_head_to_head |
Goalie vs. specific opponent historical results | 10 |
get_game_detail |
Confirm starter from a specific game | 10 |
Commands That Do NOT Exist
| Not Available | Use Instead |
|---|---|
get_goalie_advanced_stats |
Use get_goalie_stats and compute GSAA, xSV% manually |
get_starter |
Use get_game_detail for confirmed starters; note pregame starter is not available via API |
get_goalie_splits |
Use get_goalie_stats with home/away or rest-day filters |
get_expected_goals_against |
Derive from team shot quality via get_team_stats |
Season Resolution
- October through December: current calendar year is the season start (2026-27 season)
- January through September: previous calendar year is the season start (2025-26 season)
- "This season" = season currently in progress or most recently completed
- "Last season" = one season before "this season"
- NHL regular season: October to April. Playoffs: April to June.
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 · 165 lines · 123 tokens per session scan A 834dd6cec71c
goalie-analysis is a skill published in the GitHub repository PuckAPI/claude-sports-analytics (3 stars, last pushed 4mo ago), licensed MIT. It adds 123 tokens to every session and 2,010 once invoked, about $0.0006 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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