by pivoshenko · MCP Server · ★ 210
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
brew install pivoshenko/tap/kasetto
cargo install kasettoTaken 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 | 210 |
| Forks | 10 |
| Language | Rust |
| Category | MCP Server |
| Quality Score | 71/100 |
| Open Issues | 2 |
| Last Updated | 2026-10-15 |
| Created | 2026-03-17 |
| Platforms | claude-code, codex, gemini, mcp, rust |
| Est. Tokens | ~25k |
A declarative AI agent environment manager, written in Rust. <img alt="kasetto sync output"
Looking for a kasetto alternative? If you're comparing kasetto 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.
Overture is an open-source, locally running web interface delivered as an MCP (Model Context Protocol) server
Open-source cross-agent memory layer for coding agents via MCP. Compatible with Claude Code, Codex, Cursor, Wi
The missing linter and lsp for AI coding assistants. Validate CLAUDE.md, AGENTS.md, SKILL.md, hooks, MCP. Plug
AI writes code. This automates everything else · 24 plugins · 49 agents · 44 skills · for Claude Code, OpenCod
The definitive resource for Agent Skills - modular capabilities revolutionizing AI agent architecture
Postman MCP Server — connect AI agents (Claude Code, Cursor, VS Code Copilot, Gemini CLI) to your Postman coll
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: