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 machina-sports/sports-skills --skill nhl-datagit clone --depth 1 https://github.com/machina-sports/sports-skillsWrote 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/machina-sports/sports-skills/nhl-data)<a href="https://agentmods.dev/skills/machina-sports/sports-skills/nhl-data"><img src="https://agentmods.dev/badge/skills/machina-sports/sports-skills/nhl-data/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/machina-sports/sports-skills/nhl-data"><img src="https://agentmods.dev/badge/skills/machina-sports/sports-skills/nhl-data.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
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 | $0.00248 | $0.02178 |
| Opus 5 | $0.00124 | $0.01089 |
| Sonnet 5 | $0.00050 | $0.00436 |
| Haiku 4.5 | $0.00025 | $0.00218 |
Grade A, and why
nhl-data 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 12d 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 — 183 lines — stays where its author put it; the contents beside it link to each section on GitHub.
NHL Data
Before writing queries, consult references/api-reference.md for endpoints, ID conventions, and data shapes.
Setup
Before first use, check if the CLI is available:
which sports-skills || pip install sports-skills
If pip install fails with a Python version error, the package requires Python 3.10+. Find a compatible Python:
python3 --version # check version
# If < 3.10, try: python3.12 -m pip install sports-skills
# On macOS with Homebrew: /opt/homebrew/bin/python3.12 -m pip install sports-skills
No API keys required.
Quick Start
Prefer the CLI — it avoids Python import path issues:
sports-skills nhl get_scoreboard
sports-skills nhl get_standings --season=2025
sports-skills nhl get_teams
CRITICAL: Before Any Query
CRITICAL: Before calling any data endpoint, verify:
- Season year is derived from the system prompt's
currentDate— never hardcoded. - If only a team name is provided, call
get_teamsto resolve the team ID before using team-specific commands.
Choosing the Season
Derive the current year from the system prompt's date (e.g., currentDate: 2026-02-18 → current year is 2026).
- If the user specifies a season, use it as-is.
- If the user says "current", "this season", or doesn't specify: The NHL season runs October–June. If the current month is October–December, the active season year matches the current year. If January–June, the active season started the previous calendar year (use that year as the season).
- Example: Current date is February 2026 → active season started October 2025 → use season
2025.
Commands
| Command | Description |
|---|---|
get_scoreboard |
Live/recent NHL scores |
get_standings |
Standings by conference and division |
get_teams |
All NHL teams |
get_team_roster |
Full roster for a team |
get_team_schedule |
Schedule for a specific team |
get_game_summary |
Detailed box score and scoring plays |
get_leaders |
NHL statistical leaders |
get_news |
NHL news articles |
get_play_by_play |
Full play-by-play for a game |
get_schedule |
Schedule for a specific date or season |
get_injuries |
Injury reports across all teams |
get_transactions |
Recent transactions |
get_futures |
Futures/odds markets |
get_team_stats |
Team statistical profile |
get_player_stats |
Player statistical profile |
find_nhl_player |
Search the NHL's player registry by name |
get_nhlstats_schedule |
Games via the NHL API — team seasons to the Original Six era, NHL game ids |
get_nhlstats_player_stats |
Career season-by-season across leagues via NHL API |
get_nhlstats_play_by_play |
Play-by-play with on-ice x/y coordinates, zone, shot type |
get_nhlstats_boxscore |
Full box score (skaters + goalies) via NHL API |
get_nhlstats_standings |
Standings, current or any historical date (back to 1917) |
get_nhlstats_leaders |
Skater and goalie leaders by category |
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 183 lines · 248 tokens per session scan A 1658ed81b00b
nhl-data is a skill published in the GitHub repository machina-sports/sports-skills (218 stars, last pushed 4d ago), licensed MIT. It adds 248 tokens to every session and 2,178 once invoked, about $0.0012 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 2026-08-30.
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