Nhl Data
CheckedAccess comprehensive NHL game statistics, player performance data, and historical trends from machina-sports' reliable database.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add machina-sports/sports-skills --skill nhl-data -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
machina-sports
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned machina-sports/sports-skills at 3be3624236.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 3be3624236
- Manifest
- skills/nhl-data/SKILL.md
- Scanned
- 4 files, 340 lines
About this skill
What it does
This skill provides access to comprehensive NHL (National Hockey League) data from machina-sports’ database. It allows an AI agent to retrieve live scores, standings, team rosters, schedules, player statistics, news articles, and more. The skill leverages a command-line interface (CLI) for optimal performance and avoids potential import path issues.
When to use it
- To quickly check today's NHL game scores.
- When needing to view conference or division standings for a specific season.
- To find the roster of a particular NHL team.
- For accessing detailed game summaries, including box scores and scoring plays.
- To retrieve recent NHL news and injury reports.
Key capabilities
get_scoreboard: Retrieves live/recent NHL scores.get_standings: Provides standings by conference and division.get_teams: Lists all NHL teams.get_team_roster: Returns the full roster for a team.get_game_summary: Delivers detailed box score and scoring plays.- Access to various other data points including schedules, leaders, news, play-by-play, injuries, transactions, futures, team stats, and player stats.
Example prompts
- "What are today's NHL scores?"
- "Show me the Eastern Conference standings."
- "Who's on the Maple Leafs roster?"
Tips & gotchas
- Season Year: The season year is automatically derived from the system prompt’s
currentDate. Do not hardcode it. - Team IDs: If only a team name is provided, use the
get_teamscommand to resolve the team ID before using team-specific commands. - CLI Preferred: Using the CLI (
sports-skills nhl ...) is recommended over direct Python imports to avoid potential issues.