Competitor Analysis
v8.0.0Analyze competitor SEO/GEO: keywords, content, backlinks, AI citations, traffic share gaps. 竞品分析/竞争对手
⭐ 6· 6.4k·69 current·69 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 (competitor SEO/GEO analysis) match the SKILL.md templates and outputs. The skill is an orchestration/research template library and legitimately describes reading prior strategy and producing research deliverables; nothing requested (no env vars, no binaries) is out of line with that purpose.
Instruction Scope
SKILL.md instructs the agent to read user goals and prior strategy (CLAUDE.md, State Model when available) and to write research outputs into memory paths (memory/research/, memory/decisions.md, CLAUDE.md). That behavior is expected for a research skill, but you should be aware it persists findings into agent memory/config. The templates reference running tools (e.g., 'domain-authority-auditor') and optional SEO integrations — these are placeholders and not provided by the skill, so automatic data collection won't occur unless connectors/tools are configured.
Install Mechanism
No install spec and no code files — lowest-risk packaging. Everything is instruction-only (templates and guidelines). There is no download, no extracted artifacts, and no third-party package installation specified.
Credentials
The skill declares no required environment variables or credentials, which is proportionate. However, it explicitly mentions optional SEO tool/analytics/AI-monitor connectors and 'MCP network access' for integrations; if you connect those tools later they will typically require API keys or tokens. The skill itself does not request or embed credentials.
Persistence & Privilege
always:false and model invocation allowed (normal). The skill is designed to write research outputs into agent memory/files (memory/research/, memory/decisions.md, CLAUDE.md). Writing its own research outputs is expected for this type of skill, but you should be aware it will create persistent artifacts in the agent's memory/config if allowed.
Assessment
This skill is largely a safe, instruction-only template library for competitor SEO/GEO research and is coherent with its description. Before installing or enabling it: 1) decide whether you want the skill to write persistent research into your agent memory (it will store outputs under memory/research/ and related files); 2) review and control any optional connector configuration — connecting SEO/analytics tools later will require API keys/tokens you must supply separately; 3) expect some templates to reference external CLI tools or auditors not included in the skill (you'll need to provide or ignore those steps); and 4) if you have strict data-handling rules, confirm the agent's memory/storage policies so sensitive internal notes aren't persisted unintentionally.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.