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Install in OpenClaw
/install user-feedback-claw
Description
用户反馈虾 — 自动分析用户差评与建议，从多渠道反馈数据中提炼产品改进信号。 **当以下情况时使用此 Skill**： (1) 用户提供评论数据（Excel/CSV/文本），要求分析差评、找出主要问题 (2) 需要对用户反馈进行情感分析、主题分类、优先级排序 (3) 需要生成结构化的用户反馈分析报告 (4) 需要...
Usage Guidance
This skill is coherent and appears safe from the static metadata provided. Before using it, do not upload sensitive or personally identifiable data unless you trust the execution environment — redact or anonymize customer identifiers first. Test with a small non-sensitive sample to validate outputs and check the agent’s concrete handling of Excel/CSV parsing. If you later integrate the skill with other skills or automation that sends reports to external systems, review those connections to ensure no unintended data sharing.
Capability Analysis
Type: OpenClaw Skill
Name: user-feedback-claw
Version: 1.0.0
The skill bundle is a legitimate tool designed for analyzing user feedback data (Excel/CSV/text) to generate product improvement reports. The instructions in SKILL.md and the reference files (improvement-templates.md, issue-taxonomy.md, sentiment-lexicon.md) provide a structured workflow for sentiment analysis and categorization without any evidence of malicious intent, data exfiltration, or unauthorized execution.
Capability Assessment
Purpose & Capability
Name/description (analyzing user comments, sentiment, themes, and producing reports) aligns with the instructions and provided reference documents; no unrelated credentials, binaries, or platform access are requested.
Instruction Scope
SKILL.md stays within the feedback-analysis scope: data cleaning, sentiment/issue classification, clustering, priority scoring, and report output. It does not instruct reading unrelated system files or exfiltrating data to external endpoints. It clearly documents required input fields and limitations (no images/videos).
Install Mechanism
Instruction-only skill with no install spec and no code files — lowest-risk installation footprint; nothing is downloaded or written to disk by the skill itself.
Credentials
No environment variables, credentials, or config paths are required. The skill's needs (text/CSV/Excel input) are proportional to its purpose. Nothing asks for unrelated secrets or system auth.
Persistence & Privilege
always is false and the skill does not request permanent agent-level presence or privileged modifications. Autonomous invocation is allowed by platform default but not combined with any broad privileges here.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install user-feedback-claw - After installation, invoke the skill by name or use
/user-feedback-claw - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
初始发布：用户差评与反馈分析 skill，支持情感分析、主题分类、优先级排序和改进建议生成
Metadata
Frequently Asked Questions
What is 用户反馈虾?
用户反馈虾 — 自动分析用户差评与建议，从多渠道反馈数据中提炼产品改进信号。 **当以下情况时使用此 Skill**： (1) 用户提供评论数据（Excel/CSV/文本），要求分析差评、找出主要问题 (2) 需要对用户反馈进行情感分析、主题分类、优先级排序 (3) 需要生成结构化的用户反馈分析报告 (4) 需要... It is an AI Agent Skill for Claude Code / OpenClaw, with 107 downloads so far.
How do I install 用户反馈虾?
Run "/install user-feedback-claw" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is 用户反馈虾 free?
Yes, 用户反馈虾 is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does 用户反馈虾 support?
用户反馈虾 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created 用户反馈虾?
It is built and maintained by Ricky (@tujinsama); the current version is v1.0.0.
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