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 elbwalker · MCP Server · ★ 343
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is walkerOS safe to install? View the security audit →
Event collection you own, version, and trust From browser to BigQuery and ad platforms - warehouse-native, and ready for AI agents via MCP. The problem GA4, custom tags, ad pixels - each one a separate setup, none of them agreeing on the same numbers. When something breaks, you can't see where. walkerOS is one collection layer for all of them. Why walkerOS? Config-as-code - version control your tracking, review it in PRs, deploy with confidence Declarative tagging - tag your UI in
| Stars | 343 |
| Forks | 23 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 64.3955511834174/100 |
| Open Issues | 3 |
| Last Updated | 2026-09-14 |
| Created | 2022-03-14 |
| Platforms | mcp, node |
| Est. Tokens | ~15k |
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walkerOS is Open-source tag manager for developers. It is categorized as a MCP Server with 343 GitHub stars.
walkerOS is primarily written in TypeScript. It covers topics such as ai-agents, analytics, as-code.
You can find installation instructions and usage details in the walkerOS GitHub repository at github.com/elbwalker/walkerOS. The project has 343 stars and 23 forks, indicating an active community.
walkerOS is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to walkerOS on Agent Skills Hub include vibe, orchestkit, model-compose. 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: