Return Rate Reducer

Reduce e-commerce return rates through data-driven root-cause analysis, product-page fixes, and policy optimization. Use this skill whenever the user mention...

This skill appears coherent and safe to review, but follow these precautions before running or uploading data: 1) Sanitize uploads—remove customer PII (names, emails, addresses, payment info) from CSVs or product exports before sharing. 2) Review the included Python scripts locally first to confirm behavior (they only read CSV/markdown and produce reports). 3) Run scripts in an isolated environment if you are unsure (they have no network calls, but verify before executing). 4) Test on sample/anonymized data to validate outputs and thresholds before using real production exports. 5) If you plan to let an agent run autonomously with access to files, limit the data scope and revoke access after testing. If you want, I can point out exactly which CSV columns to strip or help produce an anonymized sample.

Type: OpenClaw Skill Name: return-rate-reducer Version: 0.1.0 The 'return-rate-reducer' skill bundle is a legitimate tool designed for e-commerce data analysis. It includes Python scripts (pdp_return_lint.py and return_analyzer.py) that perform basic text processing and CSV analysis to identify factors contributing to high product return rates. There is no evidence of data exfiltration, malicious execution, or prompt injection; the code and instructions are strictly aligned with the stated purpose of improving product descriptions and analyzing return reasons.