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 garrettjsmith · Agent Tool · ★ 75
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is localseoskills safe to install? View the security audit →
Open-Source Claude SEO Tool for Local Search 38 open-source skills that turn Claude into a local SEO specialist. Connect your data tools, describe a business, Claude audits it, monitors it, reports on it, and executes. Works with: Claude Code · Claude Desktop · Claude.ai · Cursor · Codex · OpenClaw · Antigravity · any Agent Skills-compatible agent If Local SEO Skills saves you time, star the repo. It's how other practitioners find it. What Makes This Different Most skill libraries stop at instructions. Local SEO Skills adds the three things that turn instruction
| Stars | 75 |
| Forks | 14 |
| Language | PowerShell |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 72.2054430346998/100 |
| Open Issues | 1 |
| Last Updated | 2026-08-15 |
| Created | 2026-02-28 |
| Platforms | claude-code |
| Est. Tokens | ~20k |
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localseoskills is Open-source Claude SEO tool for local search visibility — skills, tool integrations, and automation templates that turn Claude into a Local SEO expert.. It is categorized as a Agent Tool with 75 GitHub stars.
localseoskills is primarily written in PowerShell. It covers topics such as ai-visibility, ai-visibility-tracking, claude-seo.
You can find installation instructions and usage details in the localseoskills GitHub repository at github.com/garrettjsmith/localseoskills. The project has 75 stars and 14 forks, indicating an active community.
localseoskills is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to localseoskills on Agent Skills Hub include ultimate-seo-geo, seobuild-onpage, dataseo-mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.