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SEO Article Pipeline
作者
Jean-Solopreneur
· GitHub ↗
· v1.1.2
340
总下载
1
收藏
1
当前安装
5
版本数
在 OpenClaw 中安装
/install seo-article-pipeline
功能描述
End-to-end SEO article pipeline for any blog. Research keywords → analyze competition → write article → generate images → fact-check → humanize → assemble →...
安全使用建议
This skill appears internally consistent, but review these before installing: 1) It will call external APIs (api.dataforseo.com and Google Suggest) using the DATAFORSEO credentials you provide — only supply credentials you trust and consider using a limited/rotatable account. 2) The agent is instructed to read your workspace (docs, repo, changelogs) when writing about your product — ensure you are comfortable with the agent accessing those files or restrict workspace access. 3) The included script uses curl and prints results to stdout; no obfuscated or network-exfiltration code is present, but you should still inspect any workspace files the agent might read for sensitive info. 4) After use, rotate API credentials if you provided long-lived secrets. If you need higher assurance, run the research script manually in an isolated environment or audit network calls/logs during an initial run.
功能分析
Type: OpenClaw Skill
Name: seo-article-pipeline
Version: 1.1.2
The skill bundle is a comprehensive and well-documented SEO article pipeline that automates keyword research, content generation, and deployment. It utilizes the DataForSEO API via a shell script (scripts/research-keyword.sh) and includes detailed instructions for the agent to ensure content quality and SEO optimization. While the skill requires sensitive environment variables (DATAFORSEO_LOGIN/PASSWORD) and performs high-privilege actions like 'git push', these behaviors are strictly aligned with its stated purpose of managing a blog repository. No evidence of malicious intent, data exfiltration, or prompt injection was found.
能力评估
Purpose & Capability
The skill is an end-to-end SEO pipeline and the only external credential it requests is DATAFORSEO_LOGIN/DATAFORSEO_PASSWORD, which are directly used by the included research script to call api.dataforseo.com. Required binaries and files (a shell script and markdown checklists) are consistent with keyword research and article assembly.
Instruction Scope
SKILL.md instructs the agent to run the included research script and to use web_search/web_fetch to fetch top results and primary sources; it also instructs scraping the user's documentation or repo when writing about the user's product. This is coherent for producing accurate articles, but it means the agent will read workspace content (docs, changelogs, source) if present — users should be aware of what workspace data the agent can access.
Install Mechanism
No install spec — instruction-only with an included bash script. The script uses curl and python3 to call DataForSEO and Google Suggest APIs. No downloads from arbitrary URLs or archive extraction are present.
Credentials
Only DATAFORSEO_LOGIN and DATAFORSEO_PASSWORD are required, which match the calls in scripts/research-keyword.sh. No unrelated secrets or system config paths are requested.
Persistence & Privilege
always is false and the skill is user-invocable (normal). The skill does not request persistent/system-wide privileges or modify other skills' configs.
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 seo-article-pipeline - 安装完成后，直接呼叫该 Skill 的名称或使用
/seo-article-pipeline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
v1.1.2
- Added structured metadata in SKILL.md to declare required environment variables: `DATAFORSEO_LOGIN` and `DATAFORSEO_PASSWORD`
- No functional or content changes to the pipeline itself
v1.1.1
**Minor update: Adds required environment variable documentation and deepens research guidance.**
- Documents the optional DATAFORSEO_LOGIN and DATAFORSEO_PASSWORD environment variables in the skill manifest for keyword data scripts.
- Introduces a new "Step 2b: Topic Research" section, requiring deeper original research and a research brief before drafting articles.
- Clarifies research process for both internal and external topics, emphasizing use of primary sources and hands-on verification.
- No code or file changes; all updates are to documentation and workflow instructions.
v1.1.0
**Major update: Adds stricter SEO, quality, and evidence standards to the article pipeline.**
- Introduces a pre-writing keyword mapping step and new requirements for title/meta generation.
- Enforces a detailed CORE-EEAT checklist: intent alignment, precise data (≥5 real stats), audience targeting, sources/citations, and content differentiation.
- Raises standards for links: now requires minimum 3 authoritative external links per article (hard requirement).
- Adds a self-scoring SEO checklist—article must pass 8/10 factors before fact-check.
- Improves content formatting rules: TL;DR/Key Takeaways at top, data tables, logical section chunking, stricter heading hierarchy.
- Streamlines file: removes explicit environment requirements section. No functional changes to image, fact-check, or humanizing steps.
v1.0.1
**Minor metadata update for environment and dependencies.**
- Added a `metadata` section specifying required environment variables (`DATAFORSEO_LOGIN`, `DATAFORSEO_PASSWORD`) and binaries (`curl`, `python3`, `cwebp`).
- Declared `DATAFORSEO_LOGIN` as the primary environment variable.
- No changes to core pipeline steps or usage.
v1.0.0
Initial release of seo-article-pipeline skill:
- Provides a complete SEO article workflow: keyword research, competition analysis, writing, image generation, fact-checking, humanization, assembly, and translation.
- Requires setup of a customizable seo-config.md for project, blog, and brand voice settings.
- Detailed step-by-step process includes research scripts, top SERP analysis, markdown article template, CTA integration, and image prompt generation.
- Ensures strict fact-checking and active correction or removal of unverifiable claims.
- Mandates a thorough AI-pattern tone check with actionable suggestions for humanizing content.
- Supports image style configuration, locale customization, and product positioning within blog content.
元数据
常见问题
SEO Article Pipeline 是什么？
End-to-end SEO article pipeline for any blog. Research keywords → analyze competition → write article → generate images → fact-check → humanize → assemble →... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 340 次。
如何安装 SEO Article Pipeline？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install seo-article-pipeline」即可一键安装，无需额外配置。
SEO Article Pipeline 是免费的吗？
是的，SEO Article Pipeline 完全免费（开源免费），可自由下载、安装和使用。
SEO Article Pipeline 支持哪些平台？
SEO Article Pipeline 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 Article Pipeline？
由 Jean-Solopreneur（@nirusan）开发并维护，当前版本 v1.1.2。
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