by qqqqqf-q · MCP Server · ★ 372
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
brew install qqqqqf-q/arkloop/arkloop && ark webTaken from the project's README on GitHub. Check the security audit before running it.
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 372 |
| Forks | 34 |
| Language | Go |
| Category | MCP Server |
| Quality Score | 63/100 |
| Open Issues | 12 |
| Last Updated | 2026-10-13 |
| Created | 2026-01-25 |
| Platforms | go, mcp |
| Est. Tokens | ~17k |
Open-source / Clean / Powerful — Your AI Agent Platform Arkl
These tools work well together with Arkloop for enhanced workflows:
Looking for a Arkloop alternative? If you're comparing Arkloop with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
ARGO is an open-source AI Agent platform that brings Local Manus to your desktop. With one-click model downloa
Local-first multi-AI group chat desktop app — pull gpt, Claude, Gemini, DeepSeek into one conversation. Tauri
An md file as a chat interface and editable history in one.
Production-ready AI chat. Start here and make it your own. Formerly Sparka AI
A desktop MCP client designed as a tool unitary utility integration, accelerating AI adoption through the Mode
Just a Better Chatbot. Powered by Agent & MCP & Workflows.
Explore other popular mcp server tools:
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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: