首页 › 龙虾技能列表 › Refund Reason Cluster — 技能工具

Refund Reason Cluster — 技能工具

v1.0.0

Clusters refund and return reasons to identify root causes and prevention plans, helping reduce avoidable refunds and margin erosion post-purchase.

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by @leooooooow (LeroyCreates)·MIT-0
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License
MIT-0
最后更新
2026/3/11
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OpenClaw
安全
high confidence
This instruction-only skill is internally consistent with its stated purpose (clustering refund/return reasons) and requests no extra credentials or installs — but it expects sensitive input data, so handle inputs and licensing carefully before use.
评估建议
This skill appears to do what it says and does not require extra credentials or installs, but before using it: (1) do not feed raw customer PII or full order identifiers — anonymize or sample data where possible; (2) confirm any internal policies about sharing support transcripts or order metadata with third-party skills or models; (3) remember the skill text contains no enforcement for data handling, so treat outputs as analyses that may reveal sensitive signals; (4) note the CC BY-NC-SA 4.0 li...
详细分析 ▾
✓ 用途与能力
Name, description, and runtime instructions all describe the same task: normalizing refund reasons, linking to order metadata, clustering causes, and producing prevention actions. No unrelated environment variables, binaries, or installs are requested.
ℹ 指令范围
SKILL.md limits behavior to data normalization, clustering, and reporting. It does not instruct the agent to access unrelated files, env vars, or external endpoints. However, it lacks explicit guidance on handling PII/PHI or sensitive order identifiers — the skill expects refund logs, transcripts, and order metadata as inputs, so the user must control what data is provided.
✓ 安装机制
No install spec and no code files — instruction-only. This minimizes risk from arbitrary downloads or on-disk execution.
ℹ 凭证需求
The skill requests no credentials or config paths (proportionate). Still, the expected inputs are likely to contain customer PII and order-level data; the skill does not declare or enforce how to redact or protect these values.
✓ 持久化与权限
always is false and there are no special privileges or modifications to other skills. The default ability for the agent to invoke the skill autonomously is unchanged (normal).
安全有层次，运行前请审查代码。

License

MIT-0

可自由使用、修改和再分发，无需署名。

运行时依赖

无特殊依赖

版本

latestv1.0.02026/3/11

Initial release: refund reason clustering

● 无害

安装命令 点击复制

官方npx clawhub@latest install refund-reason-cluster
镜像加速npx clawhub@latest install refund-reason-cluster --registry https://cn.clawhub-mirror.com

技能文档

## Skill Card

- Category: Post-purchase Analytics - Core problem: What repeatable reasons are driving refunds and returns? - Best for: Reducing avoidable refunds and preserving margins - Expected input: Refund logs, return reason text, support transcripts, order metadata - Expected output: Reason clusters with root-cause hypotheses and prevention actions - Creatop handoff: Feed top reasons into product fixes + pre-purchase expectation copy

## Workflow

1. Normalize refund reason text and link to order/product attributes.

  • Cluster reasons by cause type (quality, fit, shipping, expectation, misuse).
  • Estimate avoidable vs unavoidable share with confidence notes.
  • Output prevention actions by short-term and long-term horizon.

## Output format

Return in this order: 1. Executive summary (max 5 lines) 2. Priority actions (P0/P1/P2) 3. Evidence table (signal, confidence, risk) 4. 7-day execution plan

## Quality and safety rules

- Separate policy fraud/abuse from genuine product dissatisfaction.

  • Highlight sample-size and data-quality caveats.
  • Prioritize high-frequency + high-cost clusters first.

## License

Copyright (c) 2026 Razestar.

This skill is provided under CC BY-NC-SA 4.0 for non-commercial use. You may reuse and adapt it with attribution to Razestar, and share derivatives under the same license.

Commercial use requires a separate paid commercial license from Razestar. No trademark rights are granted.

数据来源：ClawHub ↗ · 中文优化：龙虾技能库
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