SERP Analysis & Search Intent Mapper
v7.2.0SERP analysis and search intent mapping: analyze ranking factors, SERP features, AI overviews, featured snippets, and People Also Ask patterns. Part of a 20-...
⭐ 1· 2k·7 current·7 all-time
byAaron Zhu@aaron-he-zhu
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
Capability signals
These labels describe what authority the skill may exercise. They are separate from suspicious or malicious moderation verdicts.
OpenClaw
Benign
high confidencePurpose & Capability
Name, description, and included templates focus on SERP composition, ranking factors, and content recommendations. Declared optional connectors (SEO tools, Search Console, AI monitor) and allowed WebFetch are appropriate for collecting SERP snapshots and metrics; nothing requested is disproportionate to SEO analysis.
Instruction Scope
SKILL.md explicitly instructs the agent to fetch SERP data (when connectors are available), to read prior strategy/state files (CLAUDE.md and the shared State Model) and to produce/write research deliverables to memory paths (memory/research/, memory/decisions.md, CLAUDE.md). These behaviors are expected for a research-layer skill but do mean the skill may read and persist agent memory and strategy files — review what data is present in those locations before running.
Install Mechanism
Instruction-only skill with no install spec and no code files. This minimizes surface area — nothing is downloaded or written by an installer.
Credentials
The skill declares no required env vars or credentials, which matches its stated capability. It does reference optional integrations (SEO tools, Search Console, AI monitors) that would require API keys if the user connects them; those are optional and not pre-declared. Users should avoid supplying unrelated high-privilege credentials and review each connector's requested scopes before connecting.
Persistence & Privilege
always:false (normal). The skill is allowed to run autonomously (platform default) and is intended to write research outputs into agent memory and CLAUDE.md as part of its contract — this is coherent with its purpose but means results can persist across sessions. Users should confirm they want analysis outputs stored and verify what the skill will write before enabling persistent saves.
Assessment
This skill appears to do what it says: analyzing SERPs and producing strategy-ready reports. Key points to consider before installing/using it:
- It is instruction-only and requests no environment variables or installs, which reduces risk.
- It can fetch web data (allowed-tool: WebFetch) and will use optional connectors (SEO tools, Search Console, AI monitors) if you connect them — only provide API keys you trust and restrict scopes where possible.
- The skill reads prior strategy/state files (CLAUDE.md, shared State Model) and is designed to write deliverables into agent memory (memory/research/, memory/decisions.md, CLAUDE.md). If you have sensitive data in those locations, move or redact it first or disable automatic writes.
- Review any connector integrations and the exact memory/write behavior you want before enabling autonomous invocation or persistent saving.
Overall, the pieces are proportionate to the SEO research purpose; the main operational risks are network access and persistent writes, both of which are explicit and user-controllable.Like a lobster shell, security has layers — review code before you run it.
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License
MIT-0
Free to use, modify, and redistribute. No attribution required.