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Return Reducer
作者
LeroyCreates
· GitHub ↗
· v1.0.0
· MIT-0
79
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当前安装
1
版本数
在 OpenClaw 中安装
/install return-reducer
功能描述
Analyze return reasons and patterns to identify root causes, then generate actionable fixes for product descriptions, sizing guides, packaging, and expectati...
安全使用建议
This skill appears coherent and low-risk from a technical-permission perspective, but before using it: (1) do not paste unredacted personal data — anonymize or remove names, emails, order IDs, or other PII; (2) supply representative sample sizes (60–90 days as suggested) so clustering is meaningful; (3) treat the skill's impact and cost estimates as hypotheses that require A/B tests or pilot runs; and (4) remember it cannot fetch carrier/ERP data automatically — any such summaries must be provided manually. If you need the agent to work with live systems, prefer a skill that explicitly requests and documents the necessary credentials and access patterns.
功能分析
Type: OpenClaw Skill
Name: return-reducer
Version: 1.0.0
The skill bundle consists solely of documentation (SKILL.md) and metadata (_meta.json) defining an AI agent's workflow for analyzing ecommerce return data. There is no executable code, no requests for sensitive system credentials, and no instructions that would lead to data exfiltration or unauthorized access.
能力标签
能力评估
Purpose & Capability
The name/description (analyze return reasons and produce remediation plans) matches the SKILL.md inputs and outputs. No binaries, env vars, or installs are requested that would be unrelated to an analytics/consulting task.
Instruction Scope
The instructions require the user to paste return-reason data, catalog context, and optionally listing content. This is appropriate for the stated task, but the skill depends entirely on user-provided data (which may contain PII). The SKILL.md does not instruct the agent to read system files, call external endpoints, or access hidden credentials.
Install Mechanism
No install spec or code files are present (instruction-only), so nothing will be written to disk or fetched at install time. This is the lowest-risk install model.
Credentials
The skill requests no environment variables, credentials, or config paths. The data it needs (return records, catalog context, listing content) is explicitly user-provided and proportionate to the described functionality.
Persistence & Privilege
always is false and there is no indication the skill modifies other skills or system-wide settings. Autonomous invocation is permitted by default but not combined with broad privileges or credential access.
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 return-reducer - 安装完成后，直接呼叫该 Skill 的名称或使用
/return-reducer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
Return Reducer 是什么？
Analyze return reasons and patterns to identify root causes, then generate actionable fixes for product descriptions, sizing guides, packaging, and expectati... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 79 次。
如何安装 Return Reducer？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install return-reducer」即可一键安装，无需额外配置。
Return Reducer 是免费的吗？
是的，Return Reducer 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Return Reducer 支持哪些平台？
Return Reducer 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 Return Reducer？
由 LeroyCreates（@leooooooow）开发并维护，当前版本 v1.0.0。
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