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Return Reducer
by
LeroyCreates
· GitHub ↗
· v1.0.0
· MIT-0
79
Downloads
0
Stars
0
Active Installs
1
Versions
Install in OpenClaw
/install return-reducer
Description
Analyze return reasons and patterns to identify root causes, then generate actionable fixes for product descriptions, sizing guides, packaging, and expectati...
Usage Guidance
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.
Capability Analysis
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.
Capability Tags
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install return-reducer - After installation, invoke the skill by name or use
/return-reducer - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release.
Metadata
Frequently Asked Questions
What is Return Reducer?
Analyze return reasons and patterns to identify root causes, then generate actionable fixes for product descriptions, sizing guides, packaging, and expectati... It is an AI Agent Skill for Claude Code / OpenClaw, with 79 downloads so far.
How do I install Return Reducer?
Run "/install return-reducer" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Return Reducer free?
Yes, Return Reducer is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Return Reducer support?
Return Reducer is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Return Reducer?
It is built and maintained by LeroyCreates (@leooooooow); the current version is v1.0.0.
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