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在 OpenClaw 中安装
/install user-feedback-claw
功能描述
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...
安全使用建议
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.
功能分析
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.
能力评估
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.
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 user-feedback-claw - 安装完成后，直接呼叫该 Skill 的名称或使用
/user-feedback-claw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
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
元数据
常见问题
用户反馈虾 是什么？
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... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 107 次。
如何安装 用户反馈虾？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install user-feedback-claw」即可一键安装，无需额外配置。
用户反馈虾 是免费的吗？
是的，用户反馈虾 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
用户反馈虾 支持哪些平台？
用户反馈虾 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 用户反馈虾？
由 Ricky（@tujinsama）开发并维护，当前版本 v1.0.0。
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