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nba-gamesNBA 比赛

Agent Skill

nba-games 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

2,982

周安装

123

GitHub Stars

公开资料未说明

下载量

974
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:nba-games(NBA 比赛)
来源仓库:https://github.com/highdeserthacker/nba-games
安装命令:
openclaw skills install nba-games
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install nba-games

简介

获取指定球队即将到来和/或最近的 NBA 比赛结果。当被问及任何 NBA 球队已安排的、即将到来的或过去的比赛时,请使用此技能。

SKILL.md

name
nba_games
description
Gets upcoming and/or recent NBA game results for a specified team. Use this skill when asked about scheduled, upcoming, or past games for any NBA team.
metadata
{"openclaw":{"requires":{"bins":["python3"]}}}

NBA Games Skill

Fetch NBA schedule and results for a team using the python program nba-schedule.py.

Install

Run once to install the script from github. Skip if script is already present.

SCRIPT_PATH="$HOME/.openclaw/skills/nba_games/nba-schedule.py"
if [ ! -f "$SCRIPT_PATH" ]; then
  mkdir -p "$(dirname "$SCRIPT_PATH")"
  curl -fsSL \
    https://raw.githubusercontent.com/highdeserthacker/nba-schedule/main/nba-schedule.py \
    -o "$SCRIPT_PATH"
fi
Source: https://github.com/highdeserthacker/nba-schedule

Script

$HOME/.openclaw/skills/nba_games/nba-schedule.py

Arguments

ArgumentRequiredDefaultDescription
--team-id <id>Yes-ESPN team ID
--days-future <n>No3Upcoming days to include (0 = none)
--days-past <n>No0Past days to include (0 = none)

Team ID Lookup

If the team ID is unknown, run:

python3 /home/node/python/nba-schedule/nba-schedule.py --list

This prints all 30 teams with their IDs.

Usage Examples

# Next 3 upcoming Golden State Warriors games
python3 $HOME/.openclaw/skills/nba_games/nba-schedule.py --team-id 9

# Warriors games in the next 2 days only
python3 $HOME/.openclaw/skills/nba_games/nba-schedule.py --team-id 9 --days-future 2

# Warriors games in the next 2 days plus yesterday's result
python3 $HOME/.openclaw/skills/nba_games/nba-schedule.py --team-id 9 --days-future 2 --days-past 1

# Lakers: next 5 days
python3 $HOME/.openclaw/skills/nba_games/nba-schedule.py --team-id 13 --days-future 5

Output Format

Returns a JSON array of game objects sorted by date ascending. Empty array [] means no games in the requested window.

[
  {
    "team":     "Golden State Warriors",
    "opponent": "Los Angeles Lakers",
    "location": "home",
    "datetime": "Fri Mar 28, 7:30 PM PDT",
    "result":   ""
  }
]
FieldDescription
teamFull display name of the requested team
opponentFull display name of the opposing team
location"home" or "away"
datetimeGame time in the container's local timezone
resultEmpty string for upcoming games; score string for completed games (e.g. "Golden State Warriors (W) 112, Los Angeles Lakers 98")

Presentation Guidelines

  • For upcoming games: state opponent, home/away, and tip-off date/time.
  • For completed games: state opponent, final score, and win/loss.
  • If the result array is empty, no games fall in the requested window - do not fabricate or guess.
  • Present results conversationally unless the caller context requires structured output.

Trigger Examples

  • "When is the next Warriors game?"
  • "Did the Bulls win last night?"
  • "Show me the Lakers schedule for the next week."
  • "What are the upcoming Celtics games?"

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

94.34%
按下载量换算919

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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