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在 OpenClaw 中安装
/install serp-analysis
功能描述
Analyze SERPs: ranking factors, features, intent patterns, AI overviews, featured snippets. SERP分析/搜索结果
安全使用建议
This skill appears coherent and low-risk: it fetches and analyzes live SERPs and saves findings to agent memory. Before installing: (1) confirm you’re comfortable with the skill writing analysis to your agent memory (memory/research/, memory/hot-cache.md, memory/decisions.md); (2) only provide optional connector credentials (Search Console, SEO tools) if you trust the skill and the platform — those integrations are optional and not required; (3) when supplying SERP screenshots or top-10 URLs, avoid including sensitive query data you don’t want persisted. If you need stricter bounds, ask the agent to skip saving to memory or to anonymize outputs.
功能分析
Type: OpenClaw Skill
Name: serp-analysis
Version: 9.9.5
The 'serp-analysis' skill bundle is a legitimate tool designed for SEO research and search engine results page analysis. It utilizes the 'WebFetch' tool to gather data and provides structured templates for reporting findings to the user. The instructions in SKILL.md include a proactive security boundary warning the agent to treat fetched content as untrusted and to ignore any prompt-injection attempts found within external web pages. No indicators of data exfiltration, malicious execution, or unauthorized persistence were found.
能力标签
能力评估
Purpose & Capability
Name/description (SERP analysis) match the instructions: map SERP composition, analyze top pages, identify ranking patterns and recommend content. No unrelated binaries, credentials, or installs are requested.
Instruction Scope
Runtime instructions are focused on collecting SERP evidence (URLs, features, intent, on‑page signals) and producing a report. It asks for optional inputs (keywords, screenshots, top-10 URLs) when external tools are unavailable. It explicitly marks WebFetch results as untrusted and does not instruct indiscriminate reading of unrelated system files or secrets.
Install Mechanism
No install spec or code files; instruction-only skill. Nothing is downloaded or written to disk by an installer, minimizing install-time risk.
Credentials
The skill declares no required environment variables, credentials, or config paths. References to optional connectors (SEO tools, Search Console) are appropriate for the domain but are optional; those integrations would require user consent separately.
Persistence & Privilege
The skill writes analysis outputs to agent memory paths (memory/research/, memory/hot-cache.md, memory/decisions.md). Persisting results is coherent for a research skill, but users should be aware these outputs become part of agent memory and can be recalled later.
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 serp-analysis - 安装完成后，直接呼叫该 Skill 的名称或使用
/serp-analysis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
v9.9.5
Published from v9.9.5 @ 7ecc77b
v9.9.0
Published from main @ 7861a09
v9.5.0
Published from main @ 9967b3d
v9.1.0
Published from main @ d9bf8c7
v9.0.1
Published from main @ 3642433
v9.0.0
Published from main @ 9640174
v8.0.2
Published from main @ 728f02d
v8.0.1
Published from main @ e644cbe
v8.0.0
v8.0.0: Unified version release — consolidates Wiki Knowledge Layer, Auditor Runbook inline strategy, Critical Fail Cap, Guardrail Negatives, and 2 new commands
v7.2.0
v7.2.0: conversion-focused first paragraphs, cross-promotion tables, deduplicated Chinese keywords, semantic density paragraphs for on-page/technical SEO auditors
v7.1.0
Improve ClawHub search discoverability: optimized display name, tags, and description for vector search
v7.0.0
v7.0.0: Wiki Knowledge Layer + infrastructure upgrades
v6.2.0
v6.2.0: when_to_use + argument-hint frontmatter, hook hardening, memory system upgrades
v6.0.0
v6.0.0: GStack pattern adoption — Completion Status Protocol, Escalation Protocol, Anti-Slop Output Voice, 8 named workflow phases, Decision Gates, AUTO-FIX vs ASK, 750+ multilingual triggers, all descriptions ≤180 UTF-8 bytes for full ClawHub display
v5.1.0
v5.1.0: multilingual trigger optimization — 5 languages, 750+ triggers, 8-agent reviewed
v5.0.0
v5.0.0: Unified operating model — hook automation, temperature memory, protocol gates, state write-through, trigger widening
v4.1.0
v4.1.0: publish GitHub absolute links for published docs and sync version metadata
v4.0.0
v4.0.0: ClawHub-first marketplace optimization — security fixes, vector search descriptions, multi-ecosystem install docs
v3.0.0
Version 3.0.0 (SERP Analysis)
- Major update: Adds analysis templates and thorough reporting examples to improve SERP analysis guidance.
- Expanded and reordered SKILL.md instructions for clearer, sequential analysis steps.
- Added new reference files: detailed analysis templates and example SERP reports.
- Updated metadata for compatibility, allowed tools, and richer tag coverage.
v2.0.0
**Summary:** v2.0.0 adds automated natural language triggers and metadata, improving discoverability and integration with other SEO skills.
- Adds multiple natural language triggers so the skill automatically activates for requests like "SERP analysis", "what ranks for", or "featured snippets"
- Updates metadata: license (Apache-2.0), author, version, geo-relevance, skill tags
- Links and references to related skills in the SEO & GEO Skills Library
- No major changes to analysis instructions or workflows
- Makes the skill easier to use by connecting to related skills for rank tracking and keyword research
元数据
常见问题
Serp Analysis 是什么？
Analyze SERPs: ranking factors, features, intent patterns, AI overviews, featured snippets. SERP分析/搜索结果. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 2383 次。
如何安装 Serp Analysis？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install serp-analysis」即可一键安装，无需额外配置。
Serp Analysis 是免费的吗？
是的，Serp Analysis 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Serp Analysis 支持哪些平台？
Serp Analysis 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 Serp Analysis？
由 Aaron Zhu（@aaron-he-zhu）开发并维护，当前版本 v9.9.5。
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