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Install in OpenClaw
/install return-reason-miner
Description
Analyze product return or refund notes and turn them into a structured reason taxonomy, root-cause view, and fix-priority brief. Use when a team needs to und...
Usage Guidance
This skill appears coherent and low-risk: it runs local keyword-based analysis on text you supply and produces a markdown brief. Before using it, note that any customer return notes you paste may contain personal data—redact or anonymize sensitive PII if you don't want it included in outputs or logs. Also validate the heuristic outputs (they are stated hypotheses, not audited QA conclusions) before acting on them, and feel free to run the included tests or inspect handler.py yourself to confirm there are no network calls in your runtime environment.
Capability Analysis
Type: OpenClaw Skill
Name: return-reason-miner
Version: 1.0.0
The return-reason-miner skill is a straightforward heuristic tool for categorizing product return notes into structured reports. The code in handler.py uses simple keyword matching to identify return drivers and generates a markdown summary without any network access, file system manipulation, or external dependencies.
Capability Assessment
Purpose & Capability
The name/description match the code and SKILL.md: both describe heuristic analysis of user-provided return/refund notes into taxonomies and action briefs. The skill does not request unrelated credentials or binaries.
Instruction Scope
SKILL.md and handler.py stay within scope: they take user-provided notes/context, run local keyword heuristics, and produce a markdown brief. Instructions explicitly forbid accessing live systems and the code has no network or filesystem reads beyond stdin/argv.
Install Mechanism
No install spec is present and no external packages or downloads are performed. The repository is runnable as a plain Python script and includes simple tests; nothing is written to disk by an installer.
Credentials
The skill requires no environment variables, credentials, or config paths. The code does not read os.environ or other credentials — the requested environment access is minimal and appropriate.
Persistence & Privilege
The skill is not always-enabled, does not claim autonomous privileges beyond normal skill invocation, and does not modify other skills or system-wide settings. It runs only when invoked and only processes supplied input.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install return-reason-miner - After installation, invoke the skill by name or use
/return-reason-miner - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Return Reason Miner 1.0.0 – Initial Release
- Launches a skill for analyzing product return/refund notes and producing structured return reason briefs.
- Clusters return causes, identifies likely root causes, and suggests cross-functional fix priorities.
- Distinguishes between product, operations, fulfillment, and service-related drivers.
- Outputs a markdown summary including taxonomy, root-cause hypotheses, action plan, and limits.
- Designed for teams needing actionable return insights without live system data access.
Metadata
Frequently Asked Questions
What is Return Reason Miner?
Analyze product return or refund notes and turn them into a structured reason taxonomy, root-cause view, and fix-priority brief. Use when a team needs to und... It is an AI Agent Skill for Claude Code / OpenClaw, with 88 downloads so far.
How do I install Return Reason Miner?
Run "/install return-reason-miner" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Return Reason Miner free?
Yes, Return Reason Miner is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Return Reason Miner support?
Return Reason Miner is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Return Reason Miner?
It is built and maintained by haidong (@harrylabsj); the current version is v1.0.0.
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