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 PascaleBeier · MCP Server · ★ 89
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is hitkeep safe to install? View the security audit →
HitKeep Privacy-first analytics for humans and AI agents, self-hosted or in EU/US cloud. HitKeep is open source web analytics for teams that want useful product reporting without running PostgreSQL, Redis, Clic
| Stars | 89 |
| Forks | 8 |
| Language | Go |
| Category | MCP Server |
| License | MIT |
| Quality Score | 64.5305829457199/100 |
| Open Issues | 8 |
| Last Updated | 2026-09-19 |
| Created | 2025-11-08 |
| Platforms | browser, go, mcp, node |
| Est. Tokens | ~17k |
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hitkeep is 100% open-source, AI-native web analytics with cookieless tracking, open exports, custom domains, and SSO—self-hosted as one Go binary or managed in EU/US cloud.. It is categorized as a MCP Server with 89 GitHub stars.
hitkeep is primarily written in Go. It covers topics such as ai-analytics, ai-native, ai-visibility.
You can find installation instructions and usage details in the hitkeep GitHub repository at github.com/PascaleBeier/hitkeep. The project has 89 stars and 8 forks, indicating an active community.
hitkeep is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to hitkeep on Agent Skills Hub include walkerOS, canonry, traks. 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: