← Back to Skills Marketplace
导购对比分析
by
Xtechmerge.AI
· GitHub ↗
· v1.0.0
· MIT-0
132
Downloads
0
Stars
0
Active Installs
1
Versions
Install in OpenClaw
/install retail-clerk-comparison-analysis
Description
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...
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install retail-clerk-comparison-analysis - After installation, invoke the skill by name or use
/retail-clerk-comparison-analysis - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release: 支持导购时间维度对比、横向对比、标杆学习
Metadata
Frequently Asked Questions
What is 导购对比分析?
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... It is an AI Agent Skill for Claude Code / OpenClaw, with 132 downloads so far.
How do I install 导购对比分析?
Run "/install retail-clerk-comparison-analysis" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is 导购对比分析 free?
Yes, 导购对比分析 is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does 导购对比分析 support?
导购对比分析 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created 导购对比分析?
It is built and maintained by Xtechmerge.AI (@gwyang7); the current version is v1.0.0.
More Skills