No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by nowork-studio · MCP Server · ★ 2.6k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is toprank safe to install? View the security audit →
Toprank SEO + Google Ads skills for Claude Code. Data-driven decisions, not dashboards. Toprank gives your AI agent direct access to Google Search Console and Google Ads. It analyzes your traffic, surfaces what's hurting your rankings, finds wasted ad spend, and tells you exactly what to fix. When you have access to the repo, it goes further: rewriting meta tags, fixing headings, adding structured data, and shipping the changes. "Am I wasting money on ads right now?" "Why did my traffic drop and how do I fix it?" "How do I get more conversions without spending more?" Free, open-source. Install in 30 seconds. See It Work Google Ads You: /toprank:ads-audit Claude: Connected to your Google Ads account (MyStore). 3 campaigns active. $2,400 spent this month.
| Stars | 2,566 |
| Forks | 320 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 69.5057980142758/100 |
| Open Issues | 2 |
| Last Updated | 2026-05-20 |
| Created | 2026-03-27 |
| Platforms | claude-code, mcp, python |
| Est. Tokens | ~617k |
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toprank is Open-source Claude Code skills for SEO, GEO, Google Ads, Meta Ads. It is categorized as a MCP Server with 2.6k GitHub stars.
toprank is primarily written in Python. It covers topics such as claude-code-plugin, claude-skills, geo.
You can find installation instructions and usage details in the toprank GitHub repository at github.com/nowork-studio/toprank. The project has 2.6k stars and 320 forks, indicating an active community.
toprank is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to toprank on Agent Skills Hub include pg-aiguide, geo-optimizer-skill, digital-marketing-pro. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: