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 gizmax · MCP Server · ★ 83
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Sandcastle safe to install? View the security audit →
Sandcastle Your box. Your brains. Your data. Sandcastle is sovereign agent infrastructure: an open-source, production-ready workflow orchestrator that runs AI agents entirely on hardware you control - local models at $0/run, hard data-residency enforcement, and a tamper-evident audit trail. When you want the cloud, it's there too: 7 AI providers with auto-failover, 22 step types including Claude Managed Agents, 15 agent templates, 4 OCR engines, EU AI Act compliance features, and a full-featured dashboard. Define workflows in YAML or let AI design them for you. European-built. v0.33.0 — "Your Box, Your Brains" The cloud was always someone el
| Stars | 83 |
| Forks | 7 |
| Language | Python |
| Category | MCP Server |
| Quality Score | 61.6062711142895/100 |
| Open Issues | 3 |
| Last Updated | 2026-08-26 |
| Created | 2026-02-15 |
| Platforms | mcp, python |
| Est. Tokens | ~25k |
These tools work well together with Sandcastle for enhanced workflows:
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Sandcastle is Describe what you want. Go home. Sandcastle ships it. 6 AI providers, EU data residency, smart failover, cost intelligence, 20 step types, 236 templates. European-built, open source. pip install sandc. It is categorized as a MCP Server with 83 GitHub stars.
Sandcastle is primarily written in Python. It covers topics such as ai, ai-agents, audit-trail.
You can find installation instructions and usage details in the Sandcastle GitHub repository at github.com/gizmax/Sandcastle. The project has 83 stars and 7 forks, indicating an active community.
The top alternatives to Sandcastle on Agent Skills Hub include fim-agent, mate, mcp-server. 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: