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Football Data
作者
André Antonelli
· GitHub ↗
· v1.0.0
· MIT-0
158
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install sports-skills-football-data
功能描述
Football (soccer) data across 13 leagues — standings, schedules, match stats, xG, transfers, player profiles. Zero config, no API keys. Covers Premier League...
安全使用建议
This skill appears coherent for fetching public football data, but it directs you to install a third‑party Python package (sports-skills) from PyPI or GitHub. Before installing: (1) verify the package/repository and maintainer (machina-sports) on PyPI/GitHub; (2) inspect the package code for unexpected network calls or credential usage; (3) install only in an isolated virtual environment or sandbox; (4) prefer using the skill read-only (ask the agent to call documented commands) rather than allowing it to run arbitrary installation steps unchecked. Also note data sources (ESPN, Understat, FPL, Transfermarkt) may have licensing or rate‑limit considerations — confirm acceptable use if you rely on this for production.
功能分析
Type: OpenClaw Skill
Name: sports-skills-football-data
Version: 1.0.0
The skill bundle provides a comprehensive interface for football (soccer) data across multiple leagues, utilizing a CLI tool and Python SDK. The instructions in SKILL.md and the supporting documentation in the references directory are well-structured, focusing on data retrieval, parameter validation, and error handling. While the setup process involves shell execution (pip install), it is consistent with the stated purpose of installing the necessary 'sports-skills' dependency from a specific GitHub repository (github.com/machina-sports/sports-skills.git), and no evidence of malicious intent, data exfiltration, or harmful prompt injection was found.
能力评估
Purpose & Capability
Name/description match the declared commands and data sources (ESPN, Understat, FPL, Transfermarkt). The skill does not request unrelated credentials or system access and its documented coverage (top‑5 / PL exceptions) aligns with the commands described.
Instruction Scope
Runtime instructions are scoped to calling the sports-skills CLI/SDK and validating IDs; they do not ask the agent to read unrelated files, secrets, or system config. The SKILL.md tells agents to derive the current year from the system prompt date and to install the sports-skills package if missing — this is reasonable but grants the agent the ability to run pip (see install note).
Install Mechanism
No formal install spec in the registry; SKILL.md instructs `pip install sports-skills` or `pip install git+https://github.com/machina-sports/sports-skills.git`. Installing from PyPI or a GitHub URL is common but executes arbitrary install scripts and will pull code from an external source, so verify the package/repo before installing. The GitHub install target is a well-known host (not a shortener or unknown IP).
Credentials
The skill declares no required environment variables, credentials, or config paths. The documented data sources also state 'no API keys' — consistent with using public endpoints or scraping.
Persistence & Privilege
Skill is not always-enabled and does not request elevated privileges or changes to other skills/configuration. Autonomous invocation is allowed (platform default) but not combined with other concerning permissions.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install sports-skills-football-data - 安装完成后，直接呼叫该 Skill 的名称或使用
/sports-skills-football-data触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
Initial release of football-data skill — access football (soccer) data for major world leagues with no API keys needed.
- Supports standings, schedules, match stats (inc. xG), transfers, player profiles, and more across 13 major competitions.
- Zero config: usable via CLI or Python SDK; Python 3.10+ required.
- Explicit guide on safe/valid usage: which commands work for which leagues, and when to avoid specific endpoints.
- Provides command reference, detailed usage instructions, and real-world input-to-action examples.
- Designed for post-match data only (no real-time/live scores).
元数据
常见问题
Football Data 是什么？
Football (soccer) data across 13 leagues — standings, schedules, match stats, xG, transfers, player profiles. Zero config, no API keys. Covers Premier League... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 158 次。
如何安装 Football Data？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install sports-skills-football-data」即可一键安装，无需额外配置。
Football Data 是免费的吗？
是的，Football Data 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Football Data 支持哪些平台？
Football Data 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Football Data？
由 André Antonelli（@antonelli182）开发并维护，当前版本 v1.0.0。
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