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Install in OpenClaw
/install serp-analysis
Description
Analyze SERPs: ranking factors, features, intent patterns, AI overviews, featured snippets. SERP分析/搜索结果
Usage Guidance
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.
Capability Analysis
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.
Capability Tags
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install serp-analysis - After installation, invoke the skill by name or use
/serp-analysis - Provide required inputs per the skill's parameter spec and get structured output
Version History
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
Metadata
Frequently Asked Questions
What is Serp Analysis?
Analyze SERPs: ranking factors, features, intent patterns, AI overviews, featured snippets. SERP分析/搜索结果. It is an AI Agent Skill for Claude Code / OpenClaw, with 2383 downloads so far.
How do I install Serp Analysis?
Run "/install serp-analysis" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Serp Analysis free?
Yes, Serp Analysis is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Serp Analysis support?
Serp Analysis is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Serp Analysis?
It is built and maintained by Aaron Zhu (@aaron-he-zhu); the current version is v9.9.5.
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