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Ads Compliance Review

作者 danyangliu · GitHub ↗ · v1.0.0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install ad-compliance-reviewer
功能描述
Review ads and campaign setup for policy compliance on Meta (Facebook/Instagram), Google Ads, TikTok Ads, YouTube Ads, Amazon Ads, and DSP/programmatic.
使用说明 (SKILL.md)

Ads Compliance Review

Purpose

Detect compliance risks and provide concrete compliant rewrites before publishing.

When To Trigger

Use this skill when the user asks to:

  • run ads or execute advertising campaigns with clear operational next steps
  • grow revenue or profit, improve roas, reduce cpa, or optimize budget and bidding
  • analyze market, traffic, conversion funnel, and campaign performance signals
  • apply this specific capability: policy screening, violation detection, compliant rewrite

Typical trigger keywords:

  • ads, advertising, campaign, growth, strategy
  • revenue, profit, roi, roas, cpa
  • budget, bidding, traffic, conversion, funnel
  • meta, googleads, tiktokads, youtubeads, amazonads, shopifyads, dsp

Input Contract

Required:

  • business_goal: primary objective (sales, leads, traffic, awareness, retention)
  • scope: campaign range, market, timeline, and platform scope
  • context: URL, account context, historical performance, or request text

Optional:

  • kpi_targets: target cpa, roas, revenue, roi, ltv, cvr
  • constraints: budget, policy, brand rules, timeline, resource limits
  • platform_preference: preferred channels and priority
  • baseline_metrics: existing benchmark metrics

Output Contract

Return an execution-ready result with:

  1. Intent Summary (goal, KPI, scope)
  2. Findings (key observations and assumptions)
  3. Action Plan (prioritized next steps)
  4. Risks and Guardrails (what can break and what to monitor)
  5. Handoff Payload (structured fields for downstream skills)

Workflow

  1. Normalize request and confirm objective.
  2. Validate available inputs and list missing critical data.
  3. Analyze according to this skill focus: policy screening, violation detection, compliant rewrite.
  4. Generate prioritized actions tied to KPI impact.
  5. Add platform-specific notes and constraints.
  6. Emit a compact handoff payload for execution.

Decision Rules

  • If KPI is missing, infer likely primary KPI from goal and mark assumption explicitly.
  • If data quality is low, return conservative recommendations and required follow-up checks.
  • If platform context is unclear, provide platform-agnostic baseline plus channel variants.
  • If policy or account risk appears high, require compliance or account checks before scale.
  • If urgency is high and uncertainty is high, prioritize reversible low-risk actions first.

Platform Notes

Primary platform scope:

  • Meta (Facebook/Instagram), Google Ads, TikTok Ads, YouTube Ads, Amazon Ads, DSP/programmatic

Guidance:

  • Use platform-specific recommendations only when evidence supports them.
  • Keep naming explicit: Meta, Google Ads, TikTok Ads, YouTube Ads, Amazon Ads, Shopify Ads, DSP.
  • If request is cross-channel, provide channel order and budget split rationale.

Constraints And Guardrails

  • Do not fabricate data, performance outcomes, or policy approvals.
  • Separate facts from assumptions in every recommendation.
  • Keep recommendations measurable and tied to explicit KPIs.
  • Avoid irreversible changes without validation checkpoints.

Failure Handling And Escalation

  • If required inputs are missing, request concise follow-up fields before final recommendation.
  • If data sources conflict, report conflict and provide a safe default path.
  • If request implies unsupported account actions, escalate with an exact handoff checklist.
  • If compliance risk is detected, route to Ads Compliance Review before launch.

Examples

Example 1: Meta ecommerce optimization

Input:

  • Goal: sales growth with lower cpa
  • Platform: Meta (Facebook/Instagram)

Output focus:

  • top blockers
  • prioritized fixes
  • week-1 actions and expected KPI movement

Example 2: Google Ads lead generation

Input:

  • Goal: improve lead quality and stabilize cpl
  • Platform: Google Ads

Output focus:

  • search intent structure
  • budget and bidding adjustments
  • lead-routing handoff fields

Example 3: TikTok plus YouTube scale test

Input:

  • Goal: scale traffic while protecting roas
  • Platforms: TikTok Ads and YouTube Ads

Output focus:

  • test matrix
  • risk guardrails
  • monitoring and rollback triggers

Quality Checklist

  • All required sections are present
  • At least 3 registry keywords appear in When To Trigger
  • Input and output contracts are explicit and actionable
  • Workflow is step-based and execution ready
  • Platform references are concrete when applicable
  • At least 3 examples are included
安全使用建议
This skill appears internally consistent and safe as an instruction-only compliance reviewer. Before using it, avoid pasting real account credentials or tokens into prompts — provide only the campaign data needed (ad text, landing page URLs, targeting criteria, and performance metrics). If you intend to have the agent perform account-level actions (publish, pause campaigns, or connect ad accounts), require an explicit, separate integration that uses platform APIs and vetted credentials; verify any automated changes manually before applying them to live campaigns.
功能分析
Type: OpenClaw Skill Name: ad-compliance-reviewer Version: 1.0.0 The skill bundle contains only metadata and a `SKILL.md` file describing the skill's purpose and workflow. There is no executable code. The `SKILL.md` explicitly defines guardrails for the AI agent, instructing it to 'Avoid irreversible changes without validation checkpoints' and 'Do not fabricate data'. There are no instructions for the agent to perform system commands, network calls, access sensitive files, exfiltrate data, or engage in any other malicious or risky behavior. The instructions are purely analytical and advisory, aligning with the stated purpose of an 'ad-compliance-reviewer'.
能力评估
Purpose & Capability
Name and description match the SKILL.md: policy screening, violation detection, and compliant rewrites across the listed ad platforms. Nothing in the files asks for unrelated capabilities (no cloud credentials, no system access).
Instruction Scope
Runtime instructions focus on normal compliance review tasks (normalize inputs, detect policy issues, produce findings and handoff payloads). The SKILL.md does not instruct the agent to read local files, query external endpoints, access environment variables, or exfiltrate data beyond what the user supplies.
Install Mechanism
No install spec and no code files — the skill is instruction-only, so nothing will be written to disk or downloaded during install.
Credentials
No environment variables, credentials, or config paths are requested. The absence of required secrets is proportionate to the described review functionality.
Persistence & Privilege
Skill is not always-enabled and does not request persistent/system-wide privileges. It does not modify other skills or system configuration.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install ad-compliance-reviewer
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /ad-compliance-reviewer 触发
  4. 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 of ad-compliance-reviewer skill. - Enables ad and campaign policy compliance review across Meta, Google Ads, TikTok Ads, YouTube Ads, Amazon Ads, and DSP. - Detects compliance risks and provides actionable, compliant rewrites prior to publishing. - Standardizes input and output requirements for consistent, execution-ready recommendations. - Outlines clear workflow, decision rules, platform-specific guidance, and escalation paths. - Includes detailed examples and quality checklist to ensure robust usage.
元数据
Slug ad-compliance-reviewer
版本 1.0.0
许可证
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Ads Compliance Review 是什么?

Review ads and campaign setup for policy compliance on Meta (Facebook/Instagram), Google Ads, TikTok Ads, YouTube Ads, Amazon Ads, and DSP/programmatic. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 411 次。

如何安装 Ads Compliance Review?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install ad-compliance-reviewer」即可一键安装,无需额外配置。

Ads Compliance Review 是免费的吗?

是的,Ads Compliance Review 完全免费(开源免费),可自由下载、安装和使用。

Ads Compliance Review 支持哪些平台?

Ads Compliance Review 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 Compliance Review?

由 danyangliu(@danyangliu-sandwichlab)开发并维护,当前版本 v1.0.0。

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