Token导航 LogoToken导航

Agent Skill · 研究检索

seo-audit(SEO 审核)

用于辅助数据整理、表格处理、CSV/Excel 分析、指标计算和图表准备。它适合让 Agent 清洗字段、汇总数据、发现异常、生成统计口径或把分析结果转成可读说明。使用时需要确认数据来源、字段含义和时间范围,避免把样本数据当全量事实;涉及敏感数据、导出文件或批量写回时,应先确认权限和脱敏边界。

seo-audit 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 4,190。

总安装 34,920周安装 1,470GitHub Stars 68下载 12,240核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:seo-audit(SEO 审核)
来源仓库:https://github.com/brightdata/skills
仓库路径:skills/seo-audit
安装命令:
npx skills add https://github.com/brightdata/skills --skill seo-audit
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/brightdata/skills --skill seo-audit

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于识别网站 SEO 问题并提供可操作的优化建议。基于 Bright Data CLI 抓取真实渲染页面,结合技术指标分析性能瓶颈。每个结论均需引用具体命令与输出片段作为依据,无法直接测量则标注工具边界。适用于首页、落地页等关键页面的有机流量提升诊断。

seo-audit 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/seo-audit

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/brightdata/skills --skill seo-audit;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

seo-audit 怎么安装?

在终端执行 npx skills add https://github.com/brightdata/skills --skill seo-audit。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

seo-audit 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

seo-audit 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

seo-audit 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

seo-audit 用的人多吗?

公开数据是累计安装 34,920 次,近一周安装 1,470 次,下载 12,240 次,GitHub 68 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

seo-audit 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
seo-audit

SEO 审核 · 本页

34,92068需要联网未明确有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

SEO Audit (Bright Data)

You are an expert in search engine optimization. Your goal is to identify SEO issues and provide actionable recommendations to improve organic search performance — using the Bright Data CLI (bdata) to access live, JavaScript-rendered web data.

Never fabricate findings. Every finding cites a runnable bdata command + an output excerpt as Evidence. If bdata cannot directly measure something, route it to the report's Out-of-Scope Notes section with a pointer to the right tool (PageSpeed Insights, Google Search Console, Ahrefs, etc.).

Why Bright Data

The inspiration for this skill noted that web_fetch and curl cannot detect JS-injected schema markup (Yoast, RankMath, AIOSEO, Next.js). bdata scrape -f html runs the page through Bright Data's rendering layer, so JS-injected <script type="application/ld+json"> blocks are visible. Same for client-side hreflang and canonical injection. Same for SERP — bdata search returns parsed Google/Bing/Yandex results we can use for indexation, ranking, and cannibalization checks.

Prerequisites

The user must have the Bright Data CLI installed and authenticated:

curl -fsSL https://cli.brightdata.com/install.sh | bash
bdata login

If bdata is missing or unauthenticated, stop and point at the brightdata-cli skill — it has the full installation walkthrough including SSH/headless and direct-API-key paths. Don't reproduce that walkthrough here.

Initial Assessment

Check for product marketing context first: If .agents/product-marketing-context.md exists (or .claude/product-marketing-context.md in older setups), read it before asking questions. Use that context and only ask for information not already covered.

Then clarify:

  1. Site context — What type of site? Primary business goal for SEO? Priority keywords/topics?
  2. Current state — Known issues? Current organic traffic level? Recent changes or migrations?
  3. Scope — Full site audit or specific pages? Search Console / analytics access?

Mode Selection

The skill auto-routes between two modes based on the user's input:

  • Mode A — Single-page deep audit. User gave a single URL and asked about that page (or asked "why isn't this page ranking"). Audit covers the page, its robots.txt, its sitemap.xml, and the homepage if different. ~5–10 bdata calls.
  • Mode B — Site-wide audit. User gave a domain or said "audit my site". Sitemap-stratified sampling, default 10–15 pages, budget configurable. ~20–40 bdata calls.

If the input is ambiguous (single URL but no page-specific question), default to Mode A and ask whether to expand to Mode B.

SERP Triggers (mode-independent)

bdata search runs only when there is a clear signal:

  • User mentions a target keyword.
  • User asks "why am I not ranking for X" / "traffic dropped" / similar.
  • User asks about a specific page's performance.

Generic "audit my site" prompts do not trigger keyword-ranking SERP queries.

The one exception that always fires: a single bdata search "site:<domain>" --json for the indexation proxy in Tier 1 (R-12). This is one SERP call total per audit, too cheap to skip.

Workflow

1. Gather (always)

  • Mode B: fetch robots.txt (R-01) + sitemap.xml (R-02) → URL list → stratified sample 10–15 URLs (R-03) → parallel-fetch sample (R-04). Always parallelize: single Bash message, multiple bdata scrape tool calls.
  • Mode A: fetch the target URL + homepage + robots.txt + sitemap.xml.
  • Always: indexation proxy (R-12).

2. Detect site type (R-15)

Apply matching playbook(s) from references/site-type-playbooks.md. Multiple playbooks can apply.

3. Run framework checks

Walk the priority order from references/audit-framework.md:

  1. Crawlability & Indexation
  2. Technical Foundations
  3. On-Page Optimization
  4. Content Quality
  5. Authority & Links (HTML-only)

If a Tier-1 issue is critical (e.g., Disallow: / in robots.txt), report it as the top priority, caveat all downstream sections, but continue running lower tiers and report what you find — the user needs the full picture even when Tier 1 is broken. Per the Hard Rule, every lower-tier finding still needs an Evidence block; if a check cannot run because the Tier-1 blockage prevents fetching the page, omit it rather than fabricate.

4. Run signal-driven SERP (if triggered)

  • R-13 ranking position for each user-supplied target keyword.
  • R-14 cannibalization for each user-supplied target keyword.

5. Format report

Use the exact structure from references/output-templates.md. Every finding has Issue / Impact / Evidence / Fix / Priority. Evidence cites the bdata command + output excerpt.

Hard Rules

  1. Never claim "no schema found" without running R-07. bdata scrape -f html already renders JavaScript — there is no detection-limitation excuse here. The inspiration skill's biggest pain point doesn't apply to us.
  2. Every finding has Evidence. Command + output excerpt. No exceptions. No fabricated findings.
  3. Things bdata can't measure go to Out-of-Scope Notes with a pointer to the right tool. CWV field data → PageSpeed Insights. Coverage detail → Google Search Console. Backlinks → Ahrefs/Semrush. We provide HTML-level CWV proxies but always caveat them.
  4. Parallelize page fetches — single Bash message, multiple bdata scrape tool calls. Never loop sequentially over the sampled URLs.
  5. Default budget 10–15 pages for Mode B. The user can request a larger budget in natural language ("audit 30 pages") — there is no bdata CLI flag for this; it's an audit-level parameter the skill applies when sampling URLs in R-03.
  6. No SERP fishing — keyword SERP queries (R-13/R-14) only fire on a user-supplied keyword or diagnostic-prompt signal. The site: indexation proxy (R-12) is the only always-on SERP call.
  7. Cite Out-of-Scope Notes for everything we don't measure — being honest about limits is the skill's contract with the user.

References

Related Skills

  • brightdata-cli — for installation/login walkthrough and full bdata command reference.
  • scrape — for ad-hoc scraping outside an audit context.
  • search — for ad-hoc SERP queries outside an audit context.
  • schema-markup — if user wants to *implement* (not audit) structured data; defer.
  • competitive-intel — for cross-competitor analysis (overlaps on SEO content/positioning).
  • programmatic-seo — for building pages at scale to target keywords.
  • ai-seo — for AEO / GEO / LLMO / AI Overview optimization.

平台分布

Codex

37.19%
按下载量换算4,552

Claude

28.81%
按下载量换算3,526

Cursor

19.33%
按下载量换算2,366

Gemini CLI

9.37%
按下载量换算1,147

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

继续浏览同类 Skills