闲社服务运行正常AI智能体自动化平台
客户端下载帮助中心服务商入驻
免费注册
技能集市 > AI智能 > steam-lowest-price-skill
s

Steam最低价监控

技能标识：steam-lowest-price-skill

Monitor Steam game prices and alert when a game hits historical low or a user target price. Use when users ask to track Steam discounts, watch specific games, check current price vs historical low, or send periodic price alerts.

作者：admin | 来源记录：ClawHub
下载
登记来源
ClawHub
版本
V 1.0.0
检测标记
后台标记通过
免费
免费获取
0
收藏
来源与检测标记为平台登记信息，并不代表已展示可复核的检测报告。使用前请核对版本、依赖和所需权限，建议先在隔离环境中运行。
概述
安装方式
版本历史

Steam最低价监控

Steam 最低价格技能

追踪 Steam 游戏价格，并在触发条件时提醒：

  • - 达到历史低价
  • 低于目标价

数据来源

  • - CheapShark 公共 API（免费）
  • 提供当前最低价（商店最低价）与历史最低价（cheapestPriceEver）

快速开始

1) 添加关注

bash python3 {baseDir}/scripts/steam_watch.py add --query Hades --target 30

2) 查看关注列表

bash python3 {baseDir}/scripts/steam_watch.py list

3) 手动检查一次

bash python3 {baseDir}/scripts/steam_watch.py check

4) 删除关注

bash python3 {baseDir}/scripts/steam_watch.py remove --appid 1145360

提醒格式

触发提醒时输出：
  • - 游戏名
  • 当前价
  • 历史低价
  • 差价（当前价 - 历史低价）
  • 链接（Steam 商店页）

建议的定时任务消息（OpenClaw）

text 运行 python3 /home/lei/.openclaw/workspace/skills/steam-lowest-price-skill/scripts/steam_watch.py check 。 如果有命中项目，把每一条提醒结果发给用户； 若无命中，回复“Steam 史低监控：本轮无触发”。

标签

skill ai

通过对话安装

以下为平台配置的接入选项，并非逐项实测通过。能否安装取决于客户端支持、技能来源和运行环境：

OpenClaw WorkBuddy QClaw Kimi Claude

方式一：安装 SkillHub 和技能

帮我安装 SkillHub 和 steam-lowest-price-skill-1776110221 技能

方式二：设置 SkillHub 为优先技能安装源

设置 SkillHub 为我的优先技能安装源，然后帮我安装 steam-lowest-price-skill-1776110221 技能

通过命令行安装

skillhub install steam-lowest-price-skill-1776110221

下载

⬇ 下载 steam-lowest-price-skill v1.0.0（免费）

文件大小: 4.32 KB | 发布时间: 2026-4-17 16:14

v1.0.0 最新 2026-4-17 16:14
- Initial release of Steam Lowest Price Skill.
- Track Steam game prices and receive alerts when a game reaches its historical low or user-defined target price.
- Supports adding, listing, checking, and removing watch entries via command-line scripts.
- Alerts include game name, current and historical lowest prices, price difference, and store link.
- Uses CheapShark public API for price data.

相关推荐

s

self-improvement

Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'), (3) User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude realizes its knowledge is outdated or incorrect, (6) A better approach is discovered for a recurring task. Also review learnings before major tasks.

AI智能
s

self-improvement

Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'), (3) User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude realizes its knowledge is outdated or incorrect, (6) A better approach is discovered for a recurring task. Also review learnings before major tasks.

AI智能
s

self-improvement

Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'), (3) User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude realizes its knowledge is outdated or incorrect, (6) A better approach is discovered for a recurring task. Also review learnings before major tasks.

AI智能
s

self-improvement

Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'), (3) User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude realizes its knowledge is outdated or incorrect, (6) A better approach is discovered for a recurring task. Also review learnings before major tasks.

AI智能
返回顶部