by oooscoos · MCP Server · ★ 171
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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.
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 | 171 |
| Forks | 9 |
| Language | HTML |
| Category | MCP Server |
| Quality Score | 57/100 |
| Last Updated | 2026-10-31 |
| Created | 2026-07-29 |
| Platforms | cli, mcp |
| Est. Tokens | ~22k |
Benziby Variant Technologies An AI coding agent that doesn't read — it queries. Benzi is free to use — actively in development, a work in progress. StallionSwipe demo · Website · Live demo · Benchmark · VS Code Marketplace Benzi on SQLite Contents What is Benzi — how it works in one paragraph What people say — what people wrote about...
These tools work well together with Benzi for enhanced workflows:
Looking for a Benzi alternative? If you're comparing Benzi 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.
Local codebase intelligence CLI + MCP server for AI coding agents: SQLite code graph, 28 languages, 287 comman
HAR: open agent harness (CLI + MCP) for coding agents. Isolated worktrees, deterministic verify, software fact
Shell and coding agent on mcp clients
Official python implementation of UTCP. UTCP is an open standard that lets AI agents call any API directly, wi
A local AI agent harness in Go that runs 24/7 with auto-built tools, MCP, and Ollama
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: