SEO Intelligence & Competitor Analysis Pro
Perform deep SEO competitor analysis, including keyword research, backlink checking, and content strategy mapping. Use when the user wants to analyze a website's competitors or improve their own SEO ranking by studying the competition.
MIT-0 · Free to use, modify, and redistribute. No attribution required.
⭐ 10 · 6.6k · 32 current installs · 33 all-time installs
byGeekCraft@qqyule
MIT-0
Security Scan
OpenClaw
Suspicious
medium confidencePurpose & Capability
The stated capabilities (keyword research, backlink checking, content gap analysis) align with using web_search, web_fetch, and a browser. However the SKILL.md references an optional script (scripts/competitor_finder.py) and a metrics guide (references/seo_metrics_guide.md) that are not present in the package — that mismatch reduces confidence in the implementation. The SKILL.md also claims it can get search volume from search snippets, which is not generally reliable without a dedicated SEO API.
Instruction Scope
Instructions are generally scoped to public web search and page fetching (expected for this task). They do not request local file or credential access, but they are vague about how the agent should obtain the user's own content for comparison (upload, URL, or authenticated fetch?). The use of the interactive 'browser' tool is allowed; that can require more agent discretion (e.g., handling JavaScript, filling forms) and the instructions give broad latitude rather than strict boundaries.
Install Mechanism
Instruction-only skill with no install spec or external downloads, so nothing is written to disk by the skill package itself. This is the lowest-risk install model.
Credentials
The skill declares no required environment variables, credentials, or config paths — appropriate for an instruction-only SEO analysis tool that relies on public web data. Note: if in practice the agent is extended to use commercial SEO APIs (Ahrefs, SEMrush, Moz), those would require API keys and should be explicitly declared.
Persistence & Privilege
No elevated persistence requested (always:false). The skill does not request to modify other skills or system settings. Autonomous invocation is allowed by default but not a red flag by itself.
What to consider before installing
This package mostly fits its stated goal, but there are a few issues to resolve before you trust it: (1) Missing referenced files — the SKILL.md mentions scripts/competitor_finder.py and a seo_metrics_guide.md that are not included; ask the publisher for the missing files or source code. (2) Ambiguous data sources — the skill suggests extracting search volume from search snippets (unreliable); if you need accurate volumes/backlink metrics, prefer explicit integrations with reputable SEO APIs and require API keys. (3) Clarify how your own site content will be provided — do not share credentials unless you explicitly trust the skill and it declares required env vars. (4) The skill allows use of a "browser" tool which can perform interactive actions; decide whether to allow that and limit what the agent may log or transmit. (5) Because the source is unknown, consider requesting publisher identity or a code review before installing. If you proceed, restrict the skill's access to only the target public domains and avoid giving it any secrets or system-level access.Like a lobster shell, security has layers — review code before you run it.
Current versionv1.0.0
Download zipautomationcompetitor-analysisintelligencelatestmarketingseo
License
MIT-0
Free to use, modify, and redistribute. No attribution required.
SKILL.md
SEO Competitor Analysis Skill
This skill automates the process of identifying and analyzing SEO competitors to inform content and ranking strategies.
Workflow
- Identify Competitors: If not provided, search for the target domain and identify top-ranking sites for similar keywords.
- Analyze Keywords: Use
web_searchto find ranking keywords and search volume (if available via snippets). - Content Gap Analysis: Compare the user's content with competitors to identify missing topics.
- Report Generation: Summarize findings into a structured report.
Tools to Use
web_search: To find competitors and their ranking content.web_fetch: To extract content from competitor pages for deep analysis.browser: For complex pages that require JavaScript or manual navigation patterns.
Scripts
scripts/competitor_finder.py: (Optional) Logic to automate the discovery of competitors using search APIs.
References
references/seo_metrics_guide.md: Definition of SEO terms and how to interpret them.references/report_template.md: A standard structure for the final SEO analysis report.
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