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Agent Skill · 研究检索

groupon(groupon 搜索)

groupon 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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。

groupon 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为操作浏览器;许可证为 MIT-0,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 17,092。

总安装 6,805周安装 278GitHub Stars 公开资料未说明下载 2,180核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

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:groupon(groupon 搜索)
来源仓库:https://github.com/ivangdavila/groupon
安装命令:
openclaw skills install groupon
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 groupon

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

groupon 用于查找、比较和审查 Groupon 优惠券详情。适合优惠信息调研和兑换规则分析。通过 clawhub 安装,命令为 openclaw skills install groupon。建议确认 API 调用频率和地区可用性限制。groupon 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install groupon;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要操作浏览器,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

groupon 怎么安装?

在终端执行 openclaw skills install groupon。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

groupon 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

groupon 需要什么权限?

权限级别是操作浏览器。该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

groupon 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

groupon 用的人多吗?

公开数据是累计安装 6,805 次,近一周安装 278 次,下载 2,180 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

groupon 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
groupon

groupon 搜索 · 本页

6,805—操作浏览器MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
Groupon
slug
groupon
version
1.0.0
homepage
https://clawic.com/skills/groupon
description
Find, compare, and vet Groupon vouchers with fine-print checks, refund rules, and redemption planning.
changelog
Initial release with SAVE deal screening, merchant risk checks, and voucher recovery workflows.
metadata
{"clawdbot":{"emoji":"🎟️","requires":{"bins":[],"config":["~/groupon/"]},"os":["linux","darwin","win32"],"configPaths":["~/groupon/"]}}

When to Use

Use this skill when the user wants help with Groupon deals, vouchers, or local offers and needs more than a headline discount.

Use it for discovery, shortlist building, merchant validation, fine-print review, booking friction checks, post-purchase triage, and refund or support recovery planning.

Architecture

Memory lives in ~/groupon/. If ~/groupon/ does not exist, run setup.md. See memory-template.md for structure and status values.

~/groupon/
├── memory.md       # City, budget posture, category preferences, and hard no rules
├── shortlists.md   # Ranked deals with verdicts and caveats
├── purchases.md    # Bought, gifted, or expiring vouchers with next actions
└── incidents.md    # Booking failures, merchant disputes, refund attempts, support notes

Quick Reference

Use the smallest file needed for the current task.

TopicFile
Setup and activation behaviorsetup.md
Memory structure and status modelmemory-template.md
SAVE scorecard and output formatdeal-qualification.md
Merchant trust and fine-print checksmerchant-checks.md
Category-specific watchoutscategory-playbook.md
Refund, booking, and support recoveryrecovery.md

Core Rules

1. Start with intent, not the discount badge

  • Capture the real job first: category, city, date window, party size, budget, and travel tolerance.
  • Distinguish "find something fun under budget" from "check whether this exact voucher is worth buying."
  • A 70% headline discount is irrelevant if the user cannot redeem it on the needed day or for the needed group size.

2. Run the SAVE screen before recommending anything

Use the SAVE workflow from deal-qualification.md:

  • Scope the real use case and deal type.
  • Assess merchant quality and booking friction.
  • Verify every restriction in the fine print.
  • Estimate the true out-of-pocket cost and redemption effort.

No recommendation is complete until SAVE ends with a clear verdict.

3. Treat fine print as blocking data

  • Always read the restriction block, not just the title and hero price.
  • Check validity windows, excluded days, one-per-person rules, "new customers only" language, auto-gratuity, add-ons, taxes, paid value vs promo value, and required booking channels.
  • If any critical term is missing or ambiguous, say so plainly and downgrade confidence.

4. Optimize for redeemability, not theoretical savings

  • Prefer deals the user can actually book this week, in the right neighborhood, with acceptable scheduling friction.
  • Penalize phone-only booking, narrow redemption windows, poor recent reviews, and merchants that seem hard to reach.
  • If the merchant fit is weak, recommend a better option even when the headline discount is smaller.

5. Separate deal types before making policy claims

  • Local services, goods, getaways, and ticketed offers behave differently on booking, shipping, expiration, and refunds.
  • Do not promise refund outcomes from memory alone. Confirm the live deal type, voucher status, and current Groupon policy before giving a final answer.
  • In post-purchase workflows, document whether the voucher is unused, booked, redeemed, shipped, or disputed.

6. Keep money-impacting actions user-approved

  • The agent may search, compare, shortlist, draft support messages, and guide checkout or redemption.
  • Buying, gifting, booking, marking redeemed, or submitting a refund request needs explicit user confirmation.
  • Never store payment details, login secrets, full voucher barcodes, or claim codes in local files.

7. Leave a decision-ready output every time

Return the final recommendation in this structure:

Verdict: Recommend | Recommend with caveats | Skip
Best fit: [deal or category]
Why it wins: [up to 3 bullets]
Blocking terms: [if any]
True cost: [price + known extras]
Next step: [buy now, hold, compare, contact merchant, request support]

Common Traps

TrapWhy It FailsBetter Move
Ranking by discount percent aloneInflated list prices make weak offers look amazingCompare true cost, merchant quality, and redemption friction
Ignoring neighborhood and timingA cheap deal two neighborhoods away at the wrong hour is not valueScore location, travel time, and usable dates early
Skimming past "restrictions apply"The deal can become unusable for weekends, groups, or repeat visitsRead the full fine print before any recommendation
Assuming every voucher refunds the same wayGroupon rules vary by deal type and current statusClassify the deal first, then use recovery.md
Treating service deals like retail productsTrust, availability, and upsells dominate the real outcomeRun merchant checks and booking friction checks
Recommending merchants with stale or weak signalsClosed, overloaded, or badly rated merchants create support painUse recent reviews and direct booking clues, not score alone
Jumping to checkout without extrasMandatory gratuity, taxes, parking, drinks, or upgrades erase savingsEstimate true cost before telling the user to buy
Logging sensitive voucher detailsLocal notes can become a privacy or fraud problemStore only what is needed to follow up safely

External Endpoints

EndpointData SentPurpose
https://www.groupon.com/*search terms, city or ZIP, deal URLs, and normal browser navigation signalsdiscovery, fine-print review, and support page lookup
https://help.groupon.com/*issue categories, deal type references, and support navigationrefund, booking, and policy verification

No other data is sent externally.

Security & Privacy

Data that leaves your machine:

  • Search terms, location context, and deal URLs sent to Groupon pages during discovery and verification.
  • Optional support or booking context the user explicitly asks to submit.

Data that stays local:

  • Preferences, shortlist decisions, and follow-up notes in ~/groupon/.

This skill does NOT:

  • Access files outside ~/groupon/
  • Store payment cards, login secrets, or full voucher codes
  • Buy, redeem, or request refunds without explicit user approval
  • Claim merchant quality or refund certainty when the evidence is weak

Trust

By using this skill, deal-search context may be sent to Groupon and, when the user chooses to proceed, to the merchant tied to a specific offer. Only install if you trust Groupon and the selected merchant with that context.

Scope

This skill ONLY:

  • Finds and compares Groupon offers
  • Screens merchants, restrictions, and usable value
  • Guides checkout, booking, and recovery workflows with explicit approval boundaries

This skill NEVER:

  • Guarantee availability, savings, or refund outcomes
  • Hide uncertainty about fine print or merchant quality
  • Spend money or reveal voucher secrets without the user's instruction

Related Skills

Install with clawhub install <slug> if user confirms:

  • buy — evaluate real value, compare alternatives, and avoid bad purchases
  • shopping — broaden the search when Groupon is not the best channel
  • booking — plan reservations and compare travel or stay options
  • tripadvisor — validate hospitality and attraction quality with broader review signals
  • travel — connect local offers with larger trip planning decisions

Feedback

  • If useful: clawhub star groupon
  • Stay updated: clawhub sync

平台分布

OpenClaw

92.44%
按下载量换算2,015

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

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。目前只有一个公开来源,建议同时核对源仓库。

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