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Review Defect Miner
作者
LeroyCreates
· GitHub ↗
· v1.0.0
· MIT-0
262
总下载
0
收藏
1
当前安装
1
版本数
在 OpenClaw 中安装
/install review-defect-miner
功能描述
Extract and cluster product defect signals from ecommerce reviews to prioritize quality fixes and address low ratings or negative sentiment.
安全使用建议
This skill is instruction-only and internally consistent with its stated purpose. Before using it: (1) avoid submitting sensitive PII in review texts (the skill preserves evidence snippets but offers no redaction guidance); (2) validate any outputs before acting on them (clustering and severity judgments are heuristic); (3) note the licensing terms (CC BY-NC-SA for non-commercial use; commercial use requires a paid license from Razestar); and (4) because it’s instruction-only there’s no install payload, but if you plug it into an agent that can act autonomously, review agent permissions/logs to make sure outputs aren’t automatically transmitted to external systems you don't control.
功能分析
Type: OpenClaw Skill
Name: review-defect-miner
Version: 1.0.0
The skill bundle is a text-analysis tool designed to process customer reviews and identify product defects. It contains no executable code, shell commands, or network requests. The instructions in SKILL.md and the template in output-template.md are strictly focused on data normalization and reporting, with no evidence of prompt injection or malicious intent.
能力评估
Purpose & Capability
The name/description (extract and cluster defect signals from ecommerce reviews) aligns with the SKILL.md workflow. There are no unrelated requirements (no cloud creds, no binaries, no config paths) that would be disproportionate to the stated purpose.
Instruction Scope
SKILL.md provides a scoped workflow (normalize text, detect themes, score, output backlog) and an explicit output template. It does not instruct reading system files, environment variables, or sending data to external endpoints. One user-facing consideration: the skill asks to "preserve original evidence snippets" but gives no guidance on redacting PII or handling sensitive user data — you should avoid feeding sensitive PII into the skill or add redaction steps.
Install Mechanism
No install spec and no code files beyond instructional markdown. Nothing is written to disk or downloaded by the skill itself, minimizing install-time risk.
Credentials
No required environment variables, credentials, or config paths are declared. The SKILL.md does not reference hidden env vars. Credential demands are proportional (none).
Persistence & Privilege
always is false and model invocation is allowed (platform default). The skill does not request persistent presence or ask to modify other skills or system settings.
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 review-defect-miner - 安装完成后，直接呼叫该 Skill 的名称或使用
/review-defect-miner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
Initial release: review defect clustering
元数据
常见问题
Review Defect Miner 是什么？
Extract and cluster product defect signals from ecommerce reviews to prioritize quality fixes and address low ratings or negative sentiment. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 262 次。
如何安装 Review Defect Miner？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install review-defect-miner」即可一键安装，无需额外配置。
Review Defect Miner 是免费的吗？
是的，Review Defect Miner 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Review Defect Miner 支持哪些平台？
Review Defect Miner 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 Review Defect Miner？
由 LeroyCreates（@leooooooow）开发并维护，当前版本 v1.0.0。
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