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 OpenLabs-so · MCP Server · ★ 541
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is openanalytics safe to install? View the security audit →
OpenAnalytics Open-source, privacy-first web analytics. One lightweight tracker script, no cookies, no cross-site profiles, aggregate-only reads — self-hostable on your own hardware under AGPL-3.0. A hosted instance runs at getopen.so, operated by the authors: the same code, someone else's servers. ▶ Watch the dashboard in motion, a tour of these same screens on YouTube. What is in this repository The product, as one pnpm monorepo: Drains the queue into ClickHouse; sessions, rollups, exports, mail, deletions
| Stars | 541 |
| Forks | 47 |
| Language | TypeScript |
| Category | MCP Server |
| License | AGPL-3.0 |
| Quality Score | 66.2026191356878/100 |
| Last Updated | 2026-09-19 |
| Created | 2026-08-11 |
| Platforms | browser, cli, mcp, node |
| Est. Tokens | ~16k |
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openanalytics is Open-source, privacy-first and cookieless web analytics with revenue attribution and an MCP server.. It is categorized as a MCP Server with 541 GitHub stars.
openanalytics is primarily written in TypeScript. It covers topics such as agpl, analytics, clickhouse.
You can find installation instructions and usage details in the openanalytics GitHub repository at github.com/OpenLabs-so/openanalytics. The project has 541 stars and 47 forks, indicating an active community.
openanalytics is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to openanalytics on Agent Skills Hub include traks, agents, mcp-searxng. 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: