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导购对比分析
作者
Xtechmerge.AI
· GitHub ↗
· v1.0.0
· MIT-0
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版本数
在 OpenClaw 中安装
/install retail-clerk-comparison-analysis
功能描述
导购对比分析工具。基于clerk-performance-analysis的扩展，提供导购业绩的多维度对比分析。 核心能力： 1. 时间维度对比（培训前后、活动前后、月度环比） 2. 横向对比（多人排名、标杆学习、差距分析） 3. 高频场景（晨会对比、周会报告、绩效对标） 4. 导购能力雷达图对比 5. 业绩贡献...
安全使用建议
This skill appears to be what it says: a local comparison/reporting module that relies on a separate clerk-performance-analysis module. Before installing or using it: 1) Inspect the clerk-performance-analysis 'analyze' implementation to confirm where it reads data (databases, APIs, files) and whether it makes network calls or requires credentials. 2) If you plan to auto-push reports (WeChat, email, etc.), implement and secure those integrations yourself — this skill does not include those credentials. 3) Confirm the expected location (~/.openclaw/skills/clerk-performance-analysis) exists and is trustworthy; a malicious or compromised analyze module would drive data access. 4) Run the skill in a test environment first to observe its data access and outputs. If you want, provide the full analyze.py (or the rest of compare.py if truncated) and I can check those for additional concerns.
功能分析
Type: OpenClaw Skill
Name: retail-clerk-comparison-analysis
Version: 1.0.0
The skill bundle provides legitimate retail performance comparison tools, including time-series analysis and peer benchmarking. The code in compare.py implements data processing logic by importing a local dependency (clerk-performance-analysis) and calculating business metrics without any indicators of data exfiltration, shell execution, or malicious prompt injection.
能力评估
Purpose & Capability
The name/description describe multi-dimensional clerk performance comparisons and the included compare.py implements compare_guide_over_time, compare_guides and compare_with_benchmark which match that purpose. The skill explicitly depends on a local clerk-performance-analysis module and inserts that path; this is coherent with the declared functionality.
Instruction Scope
SKILL.md and compare.py limit actions to calling analyze(...) from clerk-performance-analysis, aggregating metrics, and producing recommendations and prints. Example code references helper functions like send_morning_meeting_report() and generate_performance_table() that are not provided by the skill — these are examples of integration points and imply external push/reporting but are not implemented here. You should review the referenced clerk-performance-analysis 'analyze' implementation to know what data sources it accesses and whether it transmits data externally.
Install Mechanism
No install spec or external downloads are present; the skill is instruction/code-only and does not pull remote archives or add binaries. This is low install risk.
Credentials
The skill declares no required environment variables or credentials. However, examples mention pushing reports to enterprise WeChat (send_morning_meeting_report) which would require external credentials if implemented; those are not requested here — integrations must be supplied separately. Verify any integrating code or the analyze dependency for hidden credential requests.
Persistence & Privilege
always is false and the skill does not request system-wide modifications. It does modify sys.path at runtime to import the local dependency (~/.openclaw/skills/clerk-performance-analysis), which is expected for a dependency but should be noted as reading from the user's skill directory.
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 retail-clerk-comparison-analysis - 安装完成后，直接呼叫该 Skill 的名称或使用
/retail-clerk-comparison-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
Initial release: 支持导购时间维度对比、横向对比、标杆学习
元数据
常见问题
导购对比分析 是什么？
导购对比分析工具。基于clerk-performance-analysis的扩展，提供导购业绩的多维度对比分析。 核心能力： 1. 时间维度对比（培训前后、活动前后、月度环比） 2. 横向对比（多人排名、标杆学习、差距分析） 3. 高频场景（晨会对比、周会报告、绩效对标） 4. 导购能力雷达图对比 5. 业绩贡献... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 132 次。
如何安装 导购对比分析？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install retail-clerk-comparison-analysis」即可一键安装，无需额外配置。
导购对比分析 是免费的吗？
是的，导购对比分析 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
导购对比分析 支持哪些平台？
导购对比分析 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 导购对比分析？
由 Xtechmerge.AI（@gwyang7）开发并维护，当前版本 v1.0.0。
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