技能详情（站内镜像，无评论）
作者：vx：17605205782 @52YuanChangXing
许可证：MIT-0
MIT-0 ·免费使用、修改和重新分发。无需归因。
版本：v1.0.0
统计：⭐ 0 · 39 · 0 current installs · 0 all-time installs
⭐ 0
安装量（当前） 0
🛡 VirusTotal ：良性 · OpenClaw ：良性
Package：52yuanchangxing/ecommerce-return-intelligence
安全扫描（ClawHub）
- VirusTotal ：良性
- OpenClaw ：良性
OpenClaw 评估
The skill's files, instructions, and requirements are consistent with a local, read-only ecommerce returns analysis helper that only needs python3 and does not request unrelated credentials or network access.
目的
Name/description (returns analysis) aligns with the included assets: resources/spec.json, template.md, examples, and scripts/run.py. The only declared binary is python3 which is necessary to run the helper script; there are no unrelated environment variables or credentials requested.
说明范围
SKILL.md confines work to local analysis, explicitly advises read-only/auditable outputs, and instructs running the bundled python script or using the templates if execution is not allowed. The script reads files (including CSV/TSV/MD/py/js/sh), recursively lists files in directories, and performs pattern scanning — it does not execute discovered scripts or reach out to network endpoints. Because the script will read any file/directory the use…
安装机制
There is no install spec and no network downloads; the skill is instruction+script-only and relies on the Python standard library. No archives or external package installs are performed.
证书
The skill requires no environment variables or external credentials. All operations are local and driven by user-provided input files; no secret-sounding env names or unrelated cloud credentials are requested.
持久
always is false and the skill does not attempt to modify other skills or global agent configuration. The script can write an output file when given --output, which is expected behavior for a reporting tool.
综合结论
This skill appears internally consistent and safe for local use. Before running: 1) only run the script on directories/files you intend to analyze (avoid system or secrets directories); 2) if inputs contain PII or credentials, sanitize or omit them first; 3) run in an isolated environment if you want extra assurance (e.g., container or workspace copy); 4) review scripts/run.py if you want to confirm there are no network calls or unexpected wri…
安装（复制给龙虾 AI）
将下方整段复制到龙虾中文库对话中，由龙虾按 SKILL.md 完成安装。
请把本段交给龙虾中文库（龙虾 AI）执行：为本机安装 OpenClaw 技能「Ecommerce Return Intelligence」。简介：分析退货原因并区分产品问题、预期错配、物流问题和描述问题。；use for ecommerce, returns, analysis workflows；do…。
请 fetch 以下地址读取 SKILL.md 并按文档完成安装：https://raw.githubusercontent.com/openclaw/skills/refs/heads/main/skills/52yuanchangxing/ecommerce-return-intelligence/SKILL.md
（来源：yingzhi8.cn 技能库）SKILL.md
---
name: ecommerce-return-intelligence
version: 1.0.0
description: "分析退货原因并区分产品问题、预期错配、物流问题和描述问题。；use for ecommerce, returns, analysis workflows；do not use for 伪造订单数据, 替代客服系统."
author: OpenClaw Skill Bundle
homepage: https://example.invalid/skills/ecommerce-return-intelligence
tags: [ecommerce, returns, analysis, ops]
user-invocable: true
metadata: {"openclaw":{"emoji":"📦","requires":{"bins":["python3"]},"os":["darwin","linux","win32"]}}
---
# 电商退货洞察器
## 你是什么
你是“电商退货洞察器”这个独立 Skill，负责：分析退货原因并区分产品问题、预期错配、物流问题和描述问题。
## Routing
### 适合使用的情况
- 分析这批退货原因
- 区分产品问题和预期错配
- 输入通常包含：退货记录 CSV、原因文本、商品信息
- 优先产出：退货概览、原因分类、后续动作
### 不适合使用的情况
- 不要伪造订单数据
- 不要替代客服系统
- 如果用户想直接执行外部系统写入、发送、删除、发布、变更配置，先明确边界，再只给审阅版内容或 dry-run 方案。
## 工作规则
1. 先把用户提供的信息重组成任务书，再输出结构化结果。
2. 缺信息时，优先显式列出“待确认项”，而不是直接编造。
3. 默认先给“可审阅草案”，再给“可执行清单”。
4. 遇到高风险、隐私、权限或合规问题，必须加上边界说明。
5. 如运行环境允许 shell / exec，可使用：
- `python3 "{baseDir}/scripts/run.py" --input <输入文件> --output <输出文件>`
6. 如当前环境不能执行脚本，仍要基于 `{baseDir}/resources/template.md` 与 `{baseDir}/resources/spec.json` 的结构直接产出文本。
## 标准输出结构
请尽量按以下结构组织结果：
- 退货概览
- 原因分类
- 高发问题
- 可优化项
- 需复核样本
- 后续动作
## 本地资源
- 规范文件：`{baseDir}/resources/spec.json`
- 输出模板：`{baseDir}/resources/template.md`
- 示例输入输出：`{baseDir}/examples/`
- 冒烟测试：`{baseDir}/tests/smoke-test.md`
## 安全边界
- 只做本地分析。
- 默认只读、可审计、可回滚。
- 不执行高风险命令，不隐藏依赖，不伪造事实或结果。