← Back to Skills Marketplace
nexscope

Customer Feedback Analysis

by nexscope-ai · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
132
Downloads
0
Stars
0
Active Installs
1
Versions
Install in OpenClaw
/install customer-feedback-analysis
Description
Analyzes customer reviews from e-commerce platforms to identify sentiment, pain points, feature requests, and improvement priorities with actionable insights.
README (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.

Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install customer-feedback-analysis
  3. After installation, invoke the skill by name or use /customer-feedback-analysis
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Beta release — functional skill for e-commerce AI agents. Built by Nexscope.
Metadata
Slug customer-feedback-analysis
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Customer Feedback Analysis?

Analyzes customer reviews from e-commerce platforms to identify sentiment, pain points, feature requests, and improvement priorities with actionable insights. It is an AI Agent Skill for Claude Code / OpenClaw, with 132 downloads so far.

How do I install Customer Feedback Analysis?

Run "/install customer-feedback-analysis" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Customer Feedback Analysis free?

Yes, Customer Feedback Analysis is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Customer Feedback Analysis support?

Customer Feedback Analysis is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Customer Feedback Analysis?

It is built and maintained by nexscope-ai (@nexscope); the current version is v1.0.0.

More Skills
self-improving agent
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Clau...
⬇ 463283 · by pskoett
Skill Vetter
Security-first skill vetting for AI agents. Use before installing any skill from ClawdHub, GitHub, or other sources. Checks for red flags, permission scope, and suspicious patterns.
⬇ 259410 · by spclaudehome
Polymarket
Query Polymarket prediction markets. Check odds, find trending markets, search events, track price movements.
⬇ 232503 · by joelchance
Self-Improving + Proactive Agent
Self-reflection + Self-criticism + Self-learning + Self-organizing memory. Agent evaluates its own work, catches mistakes, and improves permanently. Use when...
⬇ 200423 · by ivangdavila
Github
Interact with GitHub using the `gh` CLI. Use `gh issue`, `gh pr`, `gh run`, and `gh api` for issues, PRs, CI runs, and advanced queries.
⬇ 191115 · by steipete
ontology
Typed knowledge graph for structured agent memory and composable skills. Use when creating/querying entities (Person, Project, Task, Event, Document), linkin...
⬇ 190156 · by oswalpalash

💬 Comments