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Customer Feedback Analysis

Name: Customer Feedback Analysis
Author: nexscope

作者 nexscope-ai · GitHub ↗ · v1.0.0 · MIT-0

cross-platform ✓ 安全检测通过

132

总下载

当前安装

版本数

在 OpenClaw 中安装

/install customer-feedback-analysis

功能描述

Analyzes customer reviews from e-commerce platforms to identify sentiment, pain points, feature requests, and improvement priorities with actionable insights.

使用说明 (SKILL.md)

Customer Feedback Analysis

AI-powered customer feedback and review sentiment analysis skill. Extracts pain points, feature requests, and improvement priorities from customer reviews across e-commerce platforms.

Capabilities

Generates actionable reviews & reputation frameworks based on your specific business context
Works across major e-commerce platforms (Amazon, Shopify, Walmart, WooCommerce, Etsy, TikTok Shop)
Provides data-driven recommendations with industry benchmarks
Outputs ready-to-implement plans, not just generic advice

Install

clawhub install customer-feedback-analysis

Usage

Input: Product reviews, customer feedback data, brand/ASIN

Output: Sentiment analysis report, pain point extraction, feature request ranking, improvement priority matrix

Example Prompt

"I run a [your business type] on [platform]. Help me set up customer feedback analysis for my business. Here's my current situation: [describe context]."

Limitations

Requires your specific business data for accurate recommendations
Market benchmarks are based on US/EU data — adjust for other regions
Recommendations should be validated against your platform's current policies
Does not replace dedicated monitoring SaaS tools — designs the strategy and framework

Built by Nexscope AI — AI-powered e-commerce intelligence.

安全使用建议

This skill appears to be an instruction template that analyzes reviews you provide — it does not automatically fetch data from e-commerce platforms. Before using: (1) do not upload sensitive or unredacted customer PII; anonymize reviews if possible; (2) if you want automatic review ingestion, plan to supply platform API keys or a separate connector — the skill does not request them itself; (3) verify how and where data will be processed (local vs. remote) with the environment running the skill; (4) test with a small sample dataset first; and (5) if anything in the future asks for broad credentials or system file access, decline until the purpose is clear.

功能分析

Type: OpenClaw Skill Name: customer-feedback-analysis Version: 1.0.0 The skill bundle consists of standard metadata and documentation for a customer feedback analysis tool. There is no executable code, no evidence of data exfiltration, and no malicious prompt injection instructions in SKILL.md or _meta.json.

能力评估

ℹ Purpose & Capability

The name/description match the instructions: the skill analyzes customer reviews and returns sentiment, pain points, and recommendations. However, the SKILL.md's claim that it "works across major e-commerce platforms" is ambiguous because there are no credentials, APIs, or scraping instructions declared — it appears intended to analyze data you supply rather than automatically fetch reviews from those platforms.

✓ Instruction Scope

SKILL.md only asks for product reviews, feedback data, and context (brand/ASIN). It does not instruct the agent to read unrelated system files or environment variables, nor to exfiltrate data to unexpected endpoints. No scope creep detected in the provided instructions.

✓ Install Mechanism

There is no install spec and no code files (instruction-only). The SKILL.md shows an example CLI line ('clawhub install ...') but there is no install manifest or external download — no install-time code execution risk present in the skill package itself.

ℹ Credentials

The skill requests no environment variables or credentials, which aligns with analyzing user-supplied data. If you expect it to automatically pull reviews from platforms (Amazon, Shopify, etc.), you'll need to provide platform-specific API keys or credentials externally — the skill does not declare or request those.

✓ Persistence & Privilege

The skill is not always-enabled and does not request persistent privileges or modify other skills. Autonomous invocation is allowed by platform default, but nothing in the skill suggests elevated persistence or privilege escalation.

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 customer-feedback-analysis
安装完成后，直接呼叫该 Skill 的名称或使用 /customer-feedback-analysis 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

Beta release — functional skill for e-commerce AI agents. Built by Nexscope.

元数据

Slug customer-feedback-analysis

版本 1.0.0

许可证 MIT-0

累计安装 0

当前安装数 0

历史版本数 1

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