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Ads Traffic Analysis
作者
danyangliu
· GitHub ↗
· v1.0.0
331
总下载
0
收藏
1
当前安装
1
版本数
在 OpenClaw 中安装
/install traffic-structure-analyzer
功能描述
Analyze traffic composition and quality trends from Meta (Facebook/Instagram), Google Ads, TikTok Ads, YouTube Ads, Amazon Ads, and DSP/programmatic channels.
安全使用建议
This skill looks coherent and low-risk: it is instruction-only, asks for no credentials, and stays within the stated ads-analysis purpose. Before installing or using it, consider: (1) If you connect it to real ad platforms later, supply API keys only when needed and use least-privilege credentials; (2) Avoid pasting sensitive account tokens or full raw datasets into chat unless you trust the execution environment; (3) Verify any high-impact recommendations (budget shifts, policy escalations) with a human who has platform access; (4) If you expect the skill to call your analytics/BI systems automatically, confirm where credentials are stored and audited. Overall, the skill appears internally consistent — proceed with normal operational caution.
功能分析
Type: OpenClaw Skill
Name: traffic-structure-analyzer
Version: 1.0.0
The skill bundle defines an AI agent's analytical capability for advertising traffic analysis. The `SKILL.md` file, which guides the AI agent, contains no executable code, shell commands, network calls, or instructions for data exfiltration, persistence, or unauthorized actions. All instructions are focused on analytical workflow, data interpretation, and responsible output generation, including explicit guardrails against fabricating metrics or policy outcomes. No prompt injection attempts or other malicious indicators were found across any of the provided files.
能力评估
Purpose & Capability
The name/description (traffic mix decomposition, trend anomaly diagnosis across ad platforms) aligns with the SKILL.md workflow, input/output contract, decision rules, and examples. There are no unexpected requirements (no cloud creds, no unrelated binaries) that would be incoherent with the stated purpose.
Instruction Scope
SKILL.md instructs the agent to disambiguate metrics, build query plans, compute deltas, summarize, and recommend actions. It does not tell the agent to read arbitrary local files, probe system state, or transmit data to hidden endpoints. Escalation/hand-off guidance is limited to structured payloads and is appropriate for analysis workflows.
Install Mechanism
No install spec and no code files are present, so nothing is written to disk and there are no external packages or downloads. This is the lowest-risk model for a skill of this type.
Credentials
The skill declares no required environment variables, credentials, or config paths. That is proportionate for a guidance/analysis skill that expects user-supplied data inputs rather than direct API access. If the agent later needs to call platform APIs, those credentials would need to be provided explicitly at use time.
Persistence & Privilege
always is false and the skill does not request persistent modifications to agent/system settings. There is no attempt to modify other skills or require permanent presence.
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 traffic-structure-analyzer - 安装完成后，直接呼叫该 Skill 的名称或使用
/traffic-structure-analyzer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
traffic-structure-analyzer 1.0.0 – Initial release
- Provides traffic composition and quality trend analysis across Meta, Google Ads, TikTok Ads, YouTube Ads, Amazon Ads, and DSP/programmatic channels.
- Delivers actionable recommendations based on campaign metrics with channel-specific guidance.
- Supports traffic mix decomposition, trend anomaly diagnosis, and metric comparison workflows.
- Enforces clear input/output contracts, including specific metric definitions and decision recommendations.
- Incorporates platform-aware advice, quality checklists, and explicit failure handling protocols.
- Includes practical usage examples for daily reports, attribution analysis, and traffic structure diagnosis.
元数据
常见问题
Ads Traffic Analysis 是什么？
Analyze traffic composition and quality trends from Meta (Facebook/Instagram), Google Ads, TikTok Ads, YouTube Ads, Amazon Ads, and DSP/programmatic channels. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 331 次。
如何安装 Ads Traffic Analysis？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install traffic-structure-analyzer」即可一键安装，无需额外配置。
Ads Traffic Analysis 是免费的吗？
是的，Ads Traffic Analysis 完全免费（开源免费），可自由下载、安装和使用。
Ads Traffic Analysis 支持哪些平台？
Ads Traffic Analysis 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 Ads Traffic Analysis？
由 danyangliu（@danyangliu-sandwichlab）开发并维护，当前版本 v1.0.0。
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