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花生日记返利助手

Name: 花生日记返利助手
Author: fangshan101-coder

作者 fangshan101-coder · GitHub ↗ · v0.1.0 · MIT-0

cross-platform ⚠ suspicious

总下载

当前安装

版本数

在 OpenClaw 中安装

/install huasheng-diary

功能描述

花生日记社交电商返利工具，以淘宝/天猫为核心，提供优惠券查找、返利查询和邀请制分级返利管理。

使用说明 (SKILL.md)

花生日记返利助手

花生日记社交电商返利工具。以淘宝和天猫为核心电商平台，提供隐藏优惠券查找、商品返利查询、推广素材生成和邀请制分级返利管理，帮助用户实现自购省钱和分享赚佣金。

触发词

花生日记、花生返利、huasheng、花生优惠券、花生日记佣金、花生省钱、peanut diary

计划实现能力

核心功能

淘宝优惠券查找：深度对接淘宝联盟，查找隐藏优惠券和高佣商品
返利查询与追踪：查询商品返利比例，追踪订单佣金结算状态
推广素材生成：自动生成商品推广文案和图片，适配朋友圈和社群
团队管理：查看邀请关系和团队佣金数据

平台特色

特色	说明
淘系深耕	淘宝/天猫返利比例在同类平台中较高
邀请制	通过邀请码注册，形成推广层级
超级会员	升级超级会员可获更高佣金比例
运营商	最高等级，享受团队佣金分成

使用场景

淘宝购物：下单前查询隐藏优惠券和返利
社群运营：每日生成高佣商品推荐清单
团队拓展：邀请新用户，管理推广团队
佣金管理：查看和提现佣金收益

输出格式

🥜 花生日记返利查询

商品：[商品名称]
平台：淘宝/天猫
售价：¥[价格]
优惠券：满[X]减[Y]
券后价：¥[金额]
返利比例：[X]%
预计返利：¥[金额]
到手价：¥[最终价格]

安全使用建议

This skill looks like a feature plan, not a runnable integration. Before installing or using it, ask the author for concrete implementation details: which Taobao/淘系 APIs will be used, what exact credentials are required (e.g., 淘宝联盟/开放平台 appKey/appSecret or OAuth), how orders and user data are accessed and stored, and whether any third-party endpoints will receive user data or generated promotional materials. Do not share your Taobao/Tmall account credentials directly; prefer OAuth or official API tokens with limited scope. Also prefer skills with a verifiable source/homepage or repository and clear privacy/data-retention policies. If the author cannot provide concrete API endpoints, required env vars, or a source repo, treat the skill as incomplete and avoid granting access to sensitive accounts or secrets.

能力评估

⚠ Purpose & Capability

The skill's description promises deep integration with 淘宝/天猫 (hidden coupon lookup, order commission tracking, team/invite management). Those capabilities normally require API credentials (e.g., 淘宝联盟/开放平台 appKey/appSecret or explicit user auth) and concrete API endpoints or scraping logic. The SKILL.md lists planned features but does not declare any required environment variables, auth, or how the agent should access user/order data — this mismatch suggests the manifest is incomplete or underspecified.

⚠ Instruction Scope

SKILL.md is a high-level feature plan rather than runtime instructions. It does not specify calls to particular APIs, authentication flows, file or path access, or data handling. Because it's open-ended, an agent using this skill could ask the user for credentials or be given wide discretion to scrape websites or otherwise collect user data — the instructions do not constrain those choices.

✓ Install Mechanism

There is no install spec and no code files. That limits the immediate risk from automatic downloads or arbitrary code execution. Instruction-only skills have lower disk/execution footprint, but the lack of implementation details is what raises concern here rather than the install mechanism itself.

⚠ Credentials

No environment variables or primary credentials are declared, yet the stated features (affiliate API access, order/commission queries, team management) normally require credentials and possibly access to user accounts. The absence of any declared credential requirements is disproportionate and unexplained.

✓ Persistence & Privilege

The skill does not request always:true and has no install steps that would persist code or modify agent/system-wide configs. It is user-invocable and can be invoked autonomously per platform defaults — this by itself is not an elevated privilege in this manifest.

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 huasheng-diary
安装完成后，直接呼叫该 Skill 的名称或使用 /huasheng-diary 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

v0.1.0

初始发布

元数据

Slug huasheng-diary

版本 0.1.0

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