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Ads Traffic Analysis
by
danyangliu
· GitHub ↗
· v1.0.0
331
Downloads
0
Stars
1
Active Installs
1
Versions
Install in OpenClaw
/install traffic-structure-analyzer
Description
Analyze traffic composition and quality trends from Meta (Facebook/Instagram), Google Ads, TikTok Ads, YouTube Ads, Amazon Ads, and DSP/programmatic channels.
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install traffic-structure-analyzer - After installation, invoke the skill by name or use
/traffic-structure-analyzer - Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Frequently Asked Questions
What is Ads Traffic Analysis?
Analyze traffic composition and quality trends from Meta (Facebook/Instagram), Google Ads, TikTok Ads, YouTube Ads, Amazon Ads, and DSP/programmatic channels. It is an AI Agent Skill for Claude Code / OpenClaw, with 331 downloads so far.
How do I install Ads Traffic Analysis?
Run "/install traffic-structure-analyzer" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Ads Traffic Analysis free?
Yes, Ads Traffic Analysis is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Ads Traffic Analysis support?
Ads Traffic Analysis is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Ads Traffic Analysis?
It is built and maintained by danyangliu (@danyangliu-sandwichlab); the current version is v1.0.0.
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