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Deal Hunting

作者 mike47512 · GitHub ↗ · v0.1.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install deal-hunting
功能描述
提供全网各类优惠券、返利、签到积分及限时秒杀的综合汇总与抢购策略。
使用说明 (SKILL.md)

薅羊毛

筛选项

  • 价格区间/折扣力度/历史最低价对比
  • 物流时效(次日达/即时配/预约送)
  • 评分与信任度(官方店/老牌店/评价基数)

返回字段

  • 实付金额/优惠明细/物流实施轨迹
  • 售后保障期/价保状态/退换货记录
  • 评价分布/真实买家秀/直播讲解回放

示例请求

  • “如何快速使用 薅羊毛 处理 [具体场景任务] ?”
  • “薅羊毛 的 [核心功能] 有哪些最新玩法/优惠信息?”

更新频率

  • 结合大促节奏、库存波段与社区评价每日动态调整

注意事项

  • 建议搜索优惠券后再下单;确认收货前务必查验商品完整性。
安全使用建议
This skill appears internally consistent and low-risk: it is a text-only guide for finding deals and asks for nothing sensitive. Before installing, consider that (1) the skill has no homepage and an unknown source — lower provenance increases risk if the agent later requests more access; (2) because the instructions are high-level, the agent may try to fetch real-time data from the web or ask you for account/log-in info — never provide payment or account credentials to the skill; (3) if you want to limit risk, keep the skill user-invocable only, restrict network/browser automation permissions, and verify any deals it recommends manually on the merchant site before purchasing.
功能分析
Type: OpenClaw Skill Name: deal-hunting Version: 0.1.0 The skill bundle consists of metadata and a markdown file (SKILL.md) providing strategies for deal hunting, coupon usage, and price comparison. It contains no executable code, network requests, or suspicious instructions, and its content is entirely informational and aligned with its stated purpose.
能力评估
Purpose & Capability
Name/description (deal aggregation and strategies) match the actual footprint: no binaries, no installs, no credentials required. Nothing requested appears unrelated to providing deal-hunting guidance.
Instruction Scope
SKILL.md contains high-level guidance, return fields, example prompts, and update cadence but no explicit runtime steps, network endpoints, or file access. This keeps scope limited, but the instructions are somewhat vague about data sources and how real-time deal data should be obtained — which could leave wide discretion to the agent (e.g., web queries or scraping) if not otherwise constrained.
Install Mechanism
No install spec or code files — instruction-only skill. No artifacts will be written to disk and nothing is downloaded during install.
Credentials
The skill requests no environment variables, credentials, or config paths. Its declared needs are minimal and proportionate to a textual guidance skill.
Persistence & Privilege
always is false and autonomous invocation is the platform default. There are no elevated persistence or system-wide config changes requested by the skill.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install deal-hunting
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /deal-hunting 触发
  4. 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
v0.1.0
Initial release of Deal Hunting skill. - 汇总全网优惠券、返利、签到积分、限时秒杀信息 - 提供价格区间、折扣力度、物流时效等多种筛选 - 返回实付金额、优惠明细、物流、售后等详细字段 - 示例请求与高频玩法建议 - 信息每日动态更新,结合促销节奏与社区反馈
元数据
Slug deal-hunting
版本 0.1.0
许可证 MIT-0
累计安装 1
当前安装数 1
历史版本数 1
常见问题

Deal Hunting 是什么?

提供全网各类优惠券、返利、签到积分及限时秒杀的综合汇总与抢购策略。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 172 次。

如何安装 Deal Hunting?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install deal-hunting」即可一键安装,无需额外配置。

Deal Hunting 是免费的吗?

是的,Deal Hunting 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Deal Hunting 支持哪些平台?

Deal Hunting 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 Deal Hunting?

由 mike47512(@mike47512)开发并维护,当前版本 v0.1.0。

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