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paid-ads-strategy

作者 Kostja Zhang · GitHub ↗ · v1.7.0 · MIT-0
cross-platform ⚠ suspicious
89
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install paid-ads-strategy
功能描述
When the user wants to plan paid ads strategy, allocate ad budget, or choose paid channels. Also use when the user mentions "paid ads," "paid media," "PPC,"...
安全使用建议
This skill appears to be legitimate advice material for paid ad strategy, but it asks the agent to read local project-context files (.agents/project-context.md or .claude/project-context.md) even though no config paths are declared. Before installing or invoking: 1) Confirm you are comfortable with the agent reading those project files — open them yourself to see what they contain. 2) If you do not want the agent to read local files, block or remove those files or avoid using this skill. 3) Be aware that to actually execute ads the skill points to other execution skills (google-ads, meta-ads, etc.); those will require API credentials — review those skills' requirements and permissions before providing keys. 4) If you want stricter control, ask for an explicit prompt that requests your permission before the skill reads any local files or invokes other skills that require credentials.
功能分析
Type: OpenClaw Skill Name: paid-ads-strategy Version: 1.7.0 The 'paid-ads-strategy' skill bundle is a purely instructional set of guidelines for an AI agent to assist users with marketing strategy. It provides frameworks for budget allocation, platform selection (Google, Meta, LinkedIn, etc.), and ad-to-landing-page alignment. The SKILL.md file contains no malicious code, data exfiltration triggers, or harmful prompt injections, and its request to read project context files is standard for maintaining session continuity.
能力标签
crypto
能力评估
Purpose & Capability
Name and description (paid ads strategy, channel selection, budget allocation) match the SKILL.md content. The skill is instruction-only and does not request binaries, env vars, or installs — that's proportionate for a guidance-only strategy skill.
Instruction Scope
The SKILL.md instructs the agent to check and read local files if present: '.agents/project-context.md' or '.claude/project-context.md' before asking questions. These file reads are not declared in the skill's metadata (required config paths is empty). Reading arbitrary project-context files can expose sensitive project data; the instruction is specific (good) but not declared, which is an incoherence and a potential privacy risk.
Install Mechanism
No install spec and no code files — instruction-only. This is the lowest install risk because nothing new is written to disk by the skill itself.
Credentials
The skill declares no required environment variables or credentials (good). However it references execution via other platform-specific skills (google-ads, meta-ads, etc.); those other skills may require credentials. The current skill doesn't request those secrets itself, but installing/using the referenced execution skills will likely need API keys/credentials.
Persistence & Privilege
Flags show always:false and user-invocable:true; normal autonomous invocation is allowed by platform defaults. The skill does not request permanent presence or system-wide changes in its instructions.
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 paid-ads-strategy
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /paid-ads-strategy 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
v1.7.0
Automated batch sync
元数据
Slug paid-ads-strategy
版本 1.7.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

paid-ads-strategy 是什么?

When the user wants to plan paid ads strategy, allocate ad budget, or choose paid channels. Also use when the user mentions "paid ads," "paid media," "PPC,"... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 89 次。

如何安装 paid-ads-strategy?

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

paid-ads-strategy 是免费的吗?

是的,paid-ads-strategy 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

paid-ads-strategy 支持哪些平台?

paid-ads-strategy 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 paid-ads-strategy?

由 Kostja Zhang(@kostja94)开发并维护,当前版本 v1.7.0。

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