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Media Buyer Helper
作者
danyangliu
· GitHub ↗
· v1.0.0
348
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0
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1
当前安装
1
版本数
在 OpenClaw 中安装
/install media-buyer-ads-helper
功能描述
Support media buying execution for Meta (Facebook/Instagram), Google Ads, TikTok Ads, YouTube Ads, Amazon Ads, and DSP/programmatic with account health check...
安全使用建议
This skill appears coherent and instruction-only, but the inputs it asks for (account snapshots, performance series, bidding configs) can contain sensitive ad-account details. Before using it: (1) do not paste account credentials, tokens, or raw access keys — provide redacted or aggregated metrics instead; (2) limit shared data to the minimum required (summaries, anonymized IDs); (3) confirm you trust the agent/runtime that will receive this data; and (4) if you need the skill to act on live accounts, prefer granting scoped API tokens with least privilege rather than full credentials.
功能分析
Type: OpenClaw Skill
Name: media-buyer-ads-helper
Version: 1.0.0
The skill bundle appears benign. All files (`_meta.json`, `SKILL.md`, `metadata.json`) contain only descriptive metadata and instructions for an AI agent related to media buying. The `SKILL.md` content defines the skill's purpose, inputs, outputs, workflow, and constraints without any evidence of prompt injection attempts, malicious command execution, data exfiltration, or other harmful behaviors. The 'Constraints And Guardrails' section even promotes responsible agent behavior.
能力评估
Purpose & Capability
Name/description (media buying support across ad platforms) matches the SKILL.md content: account health, bidding, A/B test design, monitoring. There are no unrelated requirements (no cloud credentials, binaries, or config paths).
Instruction Scope
The SKILL.md contains only domain-appropriate instructions (how to evaluate snapshots, build tests, set anomaly thresholds). It does not instruct the agent to read system files, environment variables, or send data to unexpected external endpoints. Note: the declared inputs (account_structure_snapshot, recent_performance_series, etc.) are potentially sensitive ad-account data — the skill expects those data objects but does not request credentials.
Install Mechanism
No install spec and no code files are present (instruction-only). This minimizes risk because nothing is downloaded or written to the host.
Credentials
The skill declares no required environment variables, credentials, or config paths. That is proportionate for an advisory/analysis skill. As above, the user-provided inputs may contain sensitive campaign data but the skill does not ask for unrelated secrets.
Persistence & Privilege
Skill is not always-enabled and does not request persistent agent-level privileges. It does not modify other skills or system configs based on the provided materials.
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 media-buyer-ads-helper - 安装完成后，直接呼叫该 Skill 的名称或使用
/media-buyer-ads-helper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
- Initial release of media-buyer-ads-helper skill.
- Supports execution for Meta, Google, TikTok, YouTube, Amazon, and DSP/programmatic ads.
- Delivers account health checks, bidding analysis, AB test design, and real-time monitoring.
- Defines clear input and output contracts for diagnostics and recommendations.
- Provides actionable workflows, decision rules, and quality checklists.
- Includes examples for bid issues, AB testing, and anomaly detection.
元数据
常见问题
Media Buyer Helper 是什么？
Support media buying execution for Meta (Facebook/Instagram), Google Ads, TikTok Ads, YouTube Ads, Amazon Ads, and DSP/programmatic with account health check... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 348 次。
如何安装 Media Buyer Helper？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install media-buyer-ads-helper」即可一键安装，无需额外配置。
Media Buyer Helper 是免费的吗？
是的，Media Buyer Helper 完全免费（开源免费），可自由下载、安装和使用。
Media Buyer Helper 支持哪些平台？
Media Buyer Helper 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 Media Buyer Helper？
由 danyangliu（@danyangliu-sandwichlab）开发并维护，当前版本 v1.0.0。
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