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Groupon

作者 Iván · GitHub ↗ · v1.0.0 · MIT-0
linuxdarwinwin32 ✓ 安全检测通过
222
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0
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0
当前安装
1
版本数
在 OpenClaw 中安装
/install groupon
功能描述
Find, compare, and vet Groupon vouchers with fine-print checks, refund rules, and redemption planning.
使用说明 (SKILL.md)

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.

Topic File
Setup and activation behavior setup.md
Memory structure and status model memory-template.md
SAVE scorecard and output format deal-qualification.md
Merchant trust and fine-print checks merchant-checks.md
Category-specific watchouts category-playbook.md
Refund, booking, and support recovery recovery.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

Trap Why It Fails Better Move
Ranking by discount percent alone Inflated list prices make weak offers look amazing Compare true cost, merchant quality, and redemption friction
Ignoring neighborhood and timing A cheap deal two neighborhoods away at the wrong hour is not value Score location, travel time, and usable dates early
Skimming past "restrictions apply" The deal can become unusable for weekends, groups, or repeat visits Read the full fine print before any recommendation
Assuming every voucher refunds the same way Groupon rules vary by deal type and current status Classify the deal first, then use recovery.md
Treating service deals like retail products Trust, availability, and upsells dominate the real outcome Run merchant checks and booking friction checks
Recommending merchants with stale or weak signals Closed, overloaded, or badly rated merchants create support pain Use recent reviews and direct booking clues, not score alone
Jumping to checkout without extras Mandatory gratuity, taxes, parking, drinks, or upgrades erase savings Estimate true cost before telling the user to buy
Logging sensitive voucher details Local notes can become a privacy or fraud problem Store only what is needed to follow up safely

External Endpoints

Endpoint Data Sent Purpose
https://www.groupon.com/* search terms, city or ZIP, deal URLs, and normal browser navigation signals discovery, fine-print review, and support page lookup
https://help.groupon.com/* issue categories, deal type references, and support navigation refund, 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 \x3Cslug> 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
安全使用建议
This skill is coherent with its stated purpose, but review the following before installing: 1) Confirm you are comfortable with the agent creating and storing short, human-readable files under ~/groupon/ (memory.md, shortlists.md, purchases.md, incidents.md). 2) The skill explicitly warns not to store payment details or full voucher codes—do not override that guidance. 3) During setup the skill will ask for permission before creating files; deny writes if you prefer no local persistence. 4) SKILL.md references external endpoints (the truncated section shows https://www.groupon.com/*); this is expected for fetching deals, but verify there are no unexpected third-party endpoints in the full SKILL.md before use. 5) Keep autonomous purchase or refund actions disabled (require explicit confirmation) to avoid any money-impacting actions happening without your OK.
功能分析
Type: OpenClaw Skill Name: groupon Version: 1.0.0 The Groupon skill bundle is a well-structured tool designed to help users discover, evaluate, and manage Groupon deals. It follows security best practices by restricting file access to a specific local directory (~/groupon/), explicitly prohibiting the storage of sensitive data like payment info or login secrets, and requiring user confirmation for all financial or support-related actions. The instructions (SKILL.md) and workflows (deal-qualification.md, merchant-checks.md) are aligned with the stated purpose and do not contain any indicators of malicious intent or prompt-injection attacks.
能力评估
Purpose & Capability
Name and description (vouching, fine-print checks, refund planning) match the declared requirements: no binaries, no secrets, and a single local config path for memory (~ /groupon/). Asking to keep shortlists, purchases, and incidents locally is coherent for a deal-vetting assistant.
Instruction Scope
SKILL.md and the supporting playbooks instruct the agent to gather deal details, run the SAVE scorecard, and keep local notes. Instructions explicitly prohibit storing payment details, login secrets, or full voucher codes and require user confirmation before creating files. No instructions ask the agent to read unrelated system files or environment variables.
Install Mechanism
No install spec and no code files (instruction-only). This minimizes disk writes and execution risk. There are no downloads, third-party packages, or install scripts to evaluate.
Credentials
No environment variables or external credentials are requested. The single requested config path (~/groupon/) is proportionate to the declared need for a small local memory store and is explained in setup.md.
Persistence & Privilege
The skill persists user-provided preferences and shortlists to ~/groupon/ (local files) and asks for confirmation before the first write. It does not require always:true and does not request elevated privileges. Users should still review and approve what is saved locally and can delete those files later.
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 groupon
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /groupon 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
v1.0.0
Initial release with SAVE deal screening, merchant risk checks, and voucher recovery workflows.
元数据
Slug groupon
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Groupon 是什么?

Find, compare, and vet Groupon vouchers with fine-print checks, refund rules, and redemption planning. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 222 次。

如何安装 Groupon?

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

Groupon 是免费的吗?

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

Groupon 支持哪些平台?

Groupon 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(linux, darwin, win32)。

谁开发了 Groupon?

由 Iván(@ivangdavila)开发并维护,当前版本 v1.0.0。

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