by mark3labs · Agent Tool · ★ 150
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
npm install -g @mark3labs/kit
bun install -g @mark3labs/kitTaken from the project's README on GitHub.
Flagged: sudo usage. 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 | 150 |
| Forks | 30 |
| Language | Go |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 73/100 |
| Last Updated | 2026-11-04 |
| Created | 2026-02-26 |
| Platforms | go |
| Est. Tokens | ~25k |
KIT (Knowledge Inference Tool) A powerful, extensible AI coding agent CLI with multi-provider support, built-in tools, and a rich extension system. Features Multi-Provider LLM Support: Anthropic, OpenAI, Google Gemini, Ollama, Azure OpenAI, AWS Bedrock, OpenRouter, and more Built-in Core Tools: bash (with interactive sudo password prompt), read, write, edit, grep, find, ls, subagent - no MCP...
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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: