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芬香返利助手

Name: 芬香返利助手
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 fenxiang-jd

功能描述

芬香京东系社交电商返利工具，专注京东平台商品推广和佣金返利，支持京东优惠券查找和社群推广。

使用说明 (SKILL.md)

芬香返利助手

芬香京东系社交电商返利工具。作为京东战略合作的社交电商平台，专注京东商品的优惠券查找、返利查询和社群推广，帮助用户在京东购物时获得额外返利收益。

触发词

芬香、芬香返利、fenxiang jd、芬香京东、芬香佣金、芬香推广、京东芬香

计划实现能力

核心功能

京东商品返利：专注京东平台，查询商品佣金比例
京东优惠券聚合：汇总京东各类优惠券（PLUS券、品类券、店铺券）
社群推广工具：一键生成京东商品推广文案和海报
京粉佣金管理：追踪京东联盟佣金结算和提现

芬香特色

特色	说明
京东官方合作	与京东战略合作，佣金比例有保障
京东自营优势	京东自营商品也有返利，品质有保障
社群工具	内置社群运营工具，适合微信群推广
小程序便捷	支持微信小程序直接使用

使用场景

京东购物：京东下单前查询返利和优惠券
3C数码推广：京东3C数码是核心优势品类
社群带货：在微信群推广京东商品赚佣金
京东PLUS会员：PLUS价+返利双重优惠

输出格式

🌿 芬香返利查询

商品：[商品名称]
平台：京东
京东价：¥[价格]
优惠券：[券描述]
返利比例：[X]%
预计返利：¥[金额]
推广链接：[链接]

安全使用建议

This skill's description promises deep 京东 integration but provides no implementation details, source, or required credentials. Before installing: ask the author for (1) a source repo or homepage and proof of 京东 partnership, (2) the exact APIs/endpoints and what credentials (if any) the skill needs, and (3) whether the skill will ever ask you to paste API keys or perform web scraping. Do not paste any API keys, tokens, or passwords into a chat unless you trust the source and understand the minimum required scopes. Prefer skills that declare required environment variables and have a reputable source. If you still try it, run the skill with limited privileges and monitor network/activity for unexpected requests.

功能分析

Type: OpenClaw Skill Name: fenxiang-jd Version: 0.1.0 The skill bundle consists solely of metadata and documentation for a JD.com rebate and coupon assistant (Fenxiang). There is no executable code, and the instructions in SKILL.md are purely descriptive of its intended function without any signs of prompt injection, data exfiltration, or malicious intent.

能力评估

ℹ Purpose & Capability

The name and description describe an affiliate/返利 tool tightly integrated with 京东 (coupon aggregation, commission tracking, promotion link generation). However, the skill declares no required APIs, credentials, or endpoints — functionality described normally requires partner API keys or merchant credentials. The lack of declared dependencies or credentials is disproportionate to the claimed capabilities.

⚠ Instruction Scope

SKILL.md is high-level and contains trigger words and an output template but no concrete runtime instructions (no API endpoints, no commands, no guidance on where to fetch coupons or how to generate promotion links). That vagueness grants the agent broad discretion (e.g., it may attempt web scraping, ask the user for credentials, or call external services) without constraints. The instructions do not explicitly request or forbid reading local files or asking for secrets.

✓ Install Mechanism

This is an instruction-only skill with no install spec and no code files. That minimizes installation risk because nothing is written to disk during install.

⚠ Credentials

No environment variables, credentials, or config paths are declared. Given the described features (affiliate links, commission tracking, settlement, withdrawals), one would normally expect required credentials (京东联盟 API keys, partner tokens, or third-party service keys). The absence of declared secrets is a mismatch and could lead to the skill asking users for credentials at runtime or attempting unauthenticated scraping.

✓ Persistence & Privilege

always is false and model invocation is enabled (default). Autonomous invocation is permitted (normal), and there is no indication the skill requests elevated persistence or system-wide configuration changes.

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

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