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Sports Betting Analyzer

Checked
gked2121·vlatest·other·MIT

Analyzes sports data to identify potentially profitable betting opportunities by predicting outcomes and suggesting informed wagers.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add gked2121/claude-skills --skill sports-betting-analyzer -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

gked2121

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.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

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 gked2121/claude-skills at 82859c0eba.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
82859c0eba
Manifest
sports-betting-analyzer/SKILL.md
Scanned
1 file, 58 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill analyzes sports betting data to provide insights and predictions. It can process historical game data, current odds from various bookmakers, and player statistics to identify potential value bets. The tool aims to help users make more informed wagering decisions by highlighting discrepancies between perceived and actual probabilities.

When to use it

  • Researching a specific game: "I'm considering betting on the Lakers vs. Celtics game. Can you analyze their recent performance and current odds?"
  • Identifying potential value bets: “Find me any games where the implied probability from the odds significantly differs from your predicted win probability.”
  • Comparing odds across bookmakers: "Show me a comparison of the betting lines for the upcoming NFL games across DraftKings, FanDuel, and BetMGM."
  • Evaluating player impact: "How does an injury to Steph Curry affect the Warriors' chances of winning against the Nuggets?"

Key capabilities

  • Historical game data analysis
  • Odds aggregation from multiple bookmakers
  • Player statistics integration
  • Win probability prediction
  • Value bet identification

Example prompts

  • "Analyze the upcoming MLB games and highlight any potential value bets."
  • "Compare the odds for the Super Bowl across different sportsbooks."
  • “What is your predicted win probability for the Manchester United vs. Liverpool game?”

Tips & gotchas

The accuracy of predictions depends heavily on the quality and completeness of the data sources. Results should be considered as suggestions, not guarantees, and responsible gambling practices are always recommended.