← Back to Skills Marketplace
数据分析与反馈
by
JEyeshield
· GitHub ↗
· v1.0.0
· MIT-0
198
Downloads
0
Stars
0
Active Installs
1
Versions
Install in OpenClaw
/install ad-production-analytics-feedback
Description
数据分析与反馈技能 - 投放效果数据采集、分析与模型迭代建议
README (SKILL.md)
Analytics Feedback - 数据分析与反馈
负责广告投放效果的数据采集、分析和反馈，为模型优化提供建议。
Setup
无需额外依赖，TypeScript编译后使用。
When to Use
- 收集广告投放数据
- 分析投放效果
- 生成数据报告
- 提供优化建议
Architecture
analytics-feedback/
├── index.ts # 主入口，数据处理和分析
├── package.json # 依赖配置
└── README.md # 详细文档
Core Commands
采集数据
await api.executeAction('analytics-feedback.collect', {
campaignId: string, // 广告活动ID
startTime: string, // 开始时间
endTime: string, // 结束时间
metrics?: string[] // 指标列表
});
分析数据
await api.executeAction('analytics-feedback.analyze', {
data: any[], // 原始数据
analysisType?: string // 分析类型
});
生成报告
await api.executeAction('analytics-feedback.report', {
analysisId: string, // 分析ID
format?: string // 报告格式
});
响应事件
analytics-feedback.data-collected- 数据采集完成analytics-feedback.analysis-complete- 分析完成analytics-feedback.report-ready- 报告就绪
Usage Guidance
This package looks coherent for ad analytics and reporting, but you should not install it as-is without a full source review because the provided index.ts was truncated. Before installing or enabling the skill: (1) obtain and review the complete index.ts to ensure there are no network calls, secrets access, telemetry endpoints, or filesystem access in the truncated code; (2) run the skill in a sandbox or dev environment first and monitor outbound network traffic; (3) confirm what data sources it will ingest and that you are comfortable sending those datasets to this code (especially PII or commercial data); (4) if you need stronger guarantees, require the publisher to provide a signed release or host the package on a trusted registry; (5) remember the skill can be invoked autonomously by the agent by default — only enable that if you trust its behavior. If you can provide the full, untruncated index.ts I can re-evaluate and likely raise confidence.
Capability Analysis
Type: OpenClaw Skill
Name: ad-production-analytics-feedback
Version: 1.0.0
The skill bundle provides standard data analytics and feedback functionality for advertising campaigns. The code in index.ts implements in-memory data aggregation, metric calculation (CTR, CVR, ROAS), and rule-based suggestion generation without any external network requests, file system access, or suspicious execution patterns.
Capability Assessment
Purpose & Capability
Name/description (ad analytics, feedback) match the provided code and SKILL.md. The code implements ingest, reporting, feedback generation and campaign management; none of the declared requirements (no env vars, no binaries, no install) are surprising for this purpose.
Instruction Scope
SKILL.md contains concrete action invocations (analytics-feedback.collect/analyze/report) and does not instruct the agent to read arbitrary system files or unrelated environment variables. However, part of index.ts was truncated in the supplied text (the checkPerformanceAlerts and subsequent logic are cut off), so it is not possible to confirm that runtime behavior stays fully within the documented scope (e.g., there might be hidden telemetry or external calls in the truncated portion).
Install Mechanism
No install spec (instruction-only + TypeScript source). package.json only lists build/dev deps. Nothing is downloaded from external URLs and no install-time arbitrary code execution is declared.
Credentials
The skill declares no required environment variables, primary credential, or config paths, and the visible code does not reference process.env or other credentials. This is proportionate to an analytics/reporting skill as presented.
Persistence & Privilege
always is false and there is no indication the skill requests persistent system-wide privileges or modifies other skills. The skill stores its own in-memory state (campaigns, performance, reports) which is expected for this functionality.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install ad-production-analytics-feedback - After installation, invoke the skill by name or use
/ad-production-analytics-feedback - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
初始版本发布
Metadata
Frequently Asked Questions
What is 数据分析与反馈?
数据分析与反馈技能 - 投放效果数据采集、分析与模型迭代建议. It is an AI Agent Skill for Claude Code / OpenClaw, with 198 downloads so far.
How do I install 数据分析与反馈?
Run "/install ad-production-analytics-feedback" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is 数据分析与反馈 free?
Yes, 数据分析与反馈 is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does 数据分析与反馈 support?
数据分析与反馈 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created 数据分析与反馈?
It is built and maintained by JEyeshield (@jeyeshield); the current version is v1.0.0.
More Skills