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Purchase Regret Preventer

作者 haidong · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
37
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install purchase-regret-preventer
功能描述
Guide structured evaluation of costly purchases by clarifying needs, comparing alternatives, revealing hidden costs, and creating a 24-hour cooling-off memo.
使用说明 (SKILL.md)

Purchase Regret Preventer

Stress-test expensive purchases against real needs, alternatives, hidden costs, and regret risk.

When to Use

Use this skill when you need a repeatable workflow for: purchase, buying decision, regret, hidden cost. It is designed for consumers buying gear, courses, furniture, subscriptions, tools who need practical structure, not vague advice.

What This Skill Does

The assistant should help the user move through a structured workflow:

  1. Clarify — Clarify the job-to-be-done behind the purchase
  2. Compare — Compare buy/borrow/rent/wait alternatives
  3. Surface — Surface hidden costs and maintenance burdens
  4. Create — Create a 24-hour cooling-off decision memo

How to Run the Workflow

1. Intake

Ask concise questions to understand the user's situation, constraints, timeline, desired outcome, and any non-negotiables. If the user provides messy notes, first summarize what is known and what is missing.

2. Structure

Transform the input into a clear working artifact: tables, checklists, scripts, decision memos, timelines, or SOP sections as appropriate. Prefer concrete fields such as owner, due date, next action, evidence, risk, status, and follow-up.

3. Draft Useful Output

Provide ready-to-edit drafts in a calm, professional tone. Include short and long versions when communication is involved. For checklists, mark must-do vs optional items.

4. Verification

Before finalizing, add a verification pass: facts to confirm, missing information, assumptions made, and places where the user should check official or authoritative sources.

Suggested Output Formats

  • Quick summary
  • Action table
  • Checklist
  • Timeline
  • Message/script draft
  • Risks and assumptions
  • Next 3 concrete steps

Example Prompts

  • "Help me organize this messy situation into a clear plan: ..."
  • "Turn these notes into a checklist and message draft: ..."
  • "What am I missing before I take action?"
  • "Make this more concise, polite, and firm."

Safety and Boundaries

Decision hygiene only, not financial advice. User remains responsible for final purchase.

Do not invent facts, policies, prices, laws, deadlines, or commitments. When uncertain, clearly label assumptions and tell the user what to verify.

安全使用建议
This skill appears safe as a structured thinking aid. Use it to organize a purchase decision, but verify prices, policies, and commitments yourself, and avoid sharing unnecessary sensitive financial details.
功能分析
Type: OpenClaw Skill Name: purchase-regret-preventer Version: 1.0.0 The 'Purchase Regret Preventer' is a non-executable prompt-flow skill designed to provide decision support for consumers. Analysis of SKILL.md and skill.json confirms there is no executable code, no API dependencies, and no network or file system access. The instructions are focused entirely on structured user interaction and do not contain any malicious prompt injection or data exfiltration attempts.
能力标签
cryptocan-make-purchases
能力评估
Purpose & Capability
The stated purpose and instructions are coherent: clarify needs, compare alternatives, surface hidden costs, and create a cooling-off memo for user-led purchase decisions.
Instruction Scope
The workflow is bounded to decision support and explicitly says the user remains responsible for the final purchase and should verify uncertain facts.
Install Mechanism
There is no install spec, executable code, package dependency, API requirement, or required binary.
Credentials
The skill does not request local file access, environment variables, credentials, browser/session data, or external services.
Persistence & Privilege
No persistence, background activity, privilege escalation, account access, or automated transaction capability is shown in the artifacts.
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 purchase-regret-preventer
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /purchase-regret-preventer 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.
元数据
Slug purchase-regret-preventer
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

Purchase Regret Preventer 是什么?

Guide structured evaluation of costly purchases by clarifying needs, comparing alternatives, revealing hidden costs, and creating a 24-hour cooling-off memo. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 37 次。

如何安装 Purchase Regret Preventer?

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

Purchase Regret Preventer 是免费的吗?

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

Purchase Regret Preventer 支持哪些平台?

Purchase Regret Preventer 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 Purchase Regret Preventer?

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

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