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adamkristopher

SEO DataForSEO

作者 adamkristopher · GitHub ↗ · v1.0.0
cross-platform ⚠ suspicious
2894
总下载
1
收藏
12
当前安装
1
版本数
在 OpenClaw 中安装
/install seo-dataforseo
功能描述
SEO keyword research using the DataForSEO API. Perform keyword analysis, YouTube keyword research, competitor analysis, SERP analysis, and trend tracking. Use when the user asks to: research keywords, analyze search volume/CPC/competition, find keyword suggestions, check keyword difficulty, analyze competitors, get trending topics, do YouTube SEO research, or optimize landing page keywords. Requires a DataForSEO API account and credentials in .env file.
安全使用建议
Before installing or running this skill: - Confirm the source/author: the homepage is missing and the owner id is opaque; prefer skills with a trusted origin. - Expect to provide DataForSEO credentials (DATAFORSEO_LOGIN and DATAFORSEO_PASSWORD) via a .env in the project root. Do NOT put other secrets there. If you must use real credentials, consider creating a limited/test DataForSEO account and rotate credentials after use. - Review scripts/requirements.txt and consider installing dependencies in an isolated virtualenv or sandbox to avoid affecting your system packages. - Understand that the skill auto-saves API responses to a results/ directory in the current working directory; these files can include queries and results you may consider sensitive — run in a directory you control and inspect saved JSONs before sharing. - Because registry metadata does not declare the required env vars, treat that as a red flag: ask the publisher to update metadata or provide provenance before trusting automation that will read credentials and make network calls.
功能分析
Type: OpenClaw Skill Name: seo-dataforseo Version: 1.0.0 The skill is designed for SEO keyword research using the DataForSEO API. It correctly handles API credentials by loading them from a `.env` file via `python-dotenv` in `scripts/config/settings.py`. All API calls are made to the legitimate `dataforseo-client` library, and results are saved locally to a `results/` directory within the skill's scope, as seen in `scripts/core/storage.py`. The `SKILL.md` instructions are clear and do not contain any prompt injection attempts or instructions for malicious actions. The `scripts/setup.sh` simply installs Python dependencies.
能力评估
Purpose & Capability
Name, description, and code consistently implement DataForSEO keyword, SERP, and trends functionality. The functions, modules, and API calls match the stated purpose.
Instruction Scope
Runtime instructions are mostly scoped to calling DataForSEO endpoints and saving results. The SKILL.md tells the agent to install dependencies, create a .env with DATAFORSEO_LOGIN/PASSWORD, import and run functions from scripts/main.py, and auto-saves JSON summaries to a results/ directory. This behavior matches the stated purpose but the skill will create many timestamped files in the current working directory by default.
Install Mechanism
There is no formal install spec in registry metadata (instruction-only), but SKILL.md instructs running pip install -r scripts/requirements.txt. No external download URLs or extract steps are present. Review scripts/requirements.txt before running pip to confirm which packages will be installed.
Credentials
The code requires DataForSEO credentials (DATAFORSEO_LOGIN and DATAFORSEO_PASSWORD loaded from a .env) and will fail without them. However, the registry metadata lists no required env vars or primary credential — this mismatch is misleading. Requiring only DataForSEO credentials is proportionate to the purpose, but the omission in metadata and the use of a .env file should be called out.
Persistence & Privilege
The skill does not request always:true, does not modify other skills, and does not request system-wide privileges. It does persist API responses to disk under results/ in the current working directory; this is expected for a data-collection tool but has privacy implications.
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 seo-dataforseo
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /seo-dataforseo 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 — 25+ DataForSEO API functions for keyword research, SERP analysis, competitor analysis, and trend tracking
元数据
Slug seo-dataforseo
版本 1.0.0
许可证
累计安装 13
当前安装数 12
历史版本数 1
常见问题

SEO DataForSEO 是什么?

SEO keyword research using the DataForSEO API. Perform keyword analysis, YouTube keyword research, competitor analysis, SERP analysis, and trend tracking. Use when the user asks to: research keywords, analyze search volume/CPC/competition, find keyword suggestions, check keyword difficulty, analyze competitors, get trending topics, do YouTube SEO research, or optimize landing page keywords. Requires a DataForSEO API account and credentials in .env file. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 2894 次。

如何安装 SEO DataForSEO?

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

SEO DataForSEO 是免费的吗?

是的,SEO DataForSEO 完全免费(开源免费),可自由下载、安装和使用。

SEO DataForSEO 支持哪些平台?

SEO DataForSEO 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 SEO DataForSEO?

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

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