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在 OpenClaw 中安装
/install group-buy-helper
功能描述
Analyze group-buy and bargain campaigns, estimate success probability, and suggest participation strategies. Use when the user asks to 分析拼团、估算砍价成功率、判断是否值得参团、...
使用说明 (SKILL.md)
Group Buy Helper - 拼团/砍价助手
拼团砍价活动分析和成功率预测。
功能
- 🎯 砍价成功率估算
- 📊 拼团成团概率分析
- 💡 最优策略建议
- 📝 分享文案生成
- ⏰ 活动状态追踪
使用
分析砍价活动 还差多少
拼团成功率 还差2人
生成分享文案
输入建议
- 拼团场景：原价、拼团价、还差人数、剩余时间
- 砍价场景：目标价、当前价、已助力人数、每次助力金额（如已知）
- 平台：拼多多 / 淘宝等
输出要求
- 明确给出是否建议继续参与
- 给出成功概率或难度等级
- 给出下一步动作建议：继续拉人 / 尽快下单 / 直接放弃
- 需要生成分享文案时，输出可直接复制的文本
边界
- 估算结果是策略建议，不应伪装成平台官方概率
- 输入缺少关键字段时，应先提示信息不足
- 已达成目标时，应直接返回完成状态，不继续计算剩余人数
安全使用建议
This skill appears to do what it claims: analyze bargains/groups, suggest strategies, generate share text, and persist activity records locally. Before installing, consider: 1) The skill stores activity data (item names, links, prices, timestamps) in the platform's LocalStore — confirm you are comfortable with that storage and its retention/access controls. 2) There are no network calls or credential requests in the code, so it does not exfiltrate data by itself, but generated share text may include any links you supply — avoid embedding sensitive tokens in those links. 3) The estimations are simple heuristics (not official probabilities); treat recommendations as advisory. If you want extra assurance, inspect or sandbox the platform's shared storage implementation (../../shared/storage/local-store) to confirm access rules and persistence behavior.
功能分析
Type: OpenClaw Skill
Name: group-buy-helper
Version: 1.0.0
The skill bundle is a legitimate helper for analyzing group-buy and bargain campaigns (e.g., Pinduoduo, Taobao). The code in index.js performs basic mathematical calculations and heuristic analysis to estimate success rates and generate sharing text, using a local storage utility for persistence without any evidence of data exfiltration, malicious execution, or prompt injection.
能力评估
Purpose & Capability
Name/description match the implementation: functions for bargain analysis, group-deal analysis, share-text generation, activity tracking, and status checks are present. No unrelated binaries, credentials, or platform access are requested.
Instruction Scope
SKILL.md stays on-topic (asks for price, remaining people/time, platform). The runtime code persists activities using a LocalStore and reads/writes those records when tracking/checking activities — this is reasonable for 'activity tracking' but worth noting because user data is stored locally by the skill.
Install Mechanism
No install step or external downloads; the skill provides code only and relies on the platform's shared LocalStore module. No archives or third-party package installs are requested.
Credentials
The skill requires no environment variables, credentials, or config paths. All data it needs are passed in function inputs per SKILL.md.
Persistence & Privilege
always:false and normal invocation. The skill writes and updates records in a LocalStore under the 'group-buy-helper' namespace (activities list). This is expected for tracking but means data (links, item names, timestamps) will be persisted locally — verify retention and who can access the platform storage.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install group-buy-helper - 安装完成后，直接呼叫该 Skill 的名称或使用
/group-buy-helper触发 - 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
常见问题
Group Buy Helper 是什么？
Analyze group-buy and bargain campaigns, estimate success probability, and suggest participation strategies. Use when the user asks to 分析拼团、估算砍价成功率、判断是否值得参团、... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 243 次。
如何安装 Group Buy Helper？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install group-buy-helper」即可一键安装，无需额外配置。
Group Buy Helper 是免费的吗？
是的，Group Buy Helper 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Group Buy Helper 支持哪些平台？
Group Buy Helper 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 Group Buy Helper？
由 haidong（@harrylabsj）开发并维护，当前版本 v1.0.0。
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