by ShunsukeHayashi · Codex Skill · ★ 153
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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🚌 Agent Skill Bus The missing runtime for Agent Skills — health monitoring, self-improvement, and dependency management for any AI agent framework. Your agent skills silently break. Agent Skill Bus detects it, diagnoses the root cause, and fixes it automatically. Built by 合同会社みやび (LLC Miyabi) — Running 42 AI agents in production daily. Looking for the full ecosystem? This repo is the core runtime. For 110+ production-ready skills, marketplace, and the complete Miyabi Agent Society platform, visit agentskills.bath.me. What is this? Agent Skill Bus is a framework-agnostic runtime for AI agent skill health — orchestrating, monitoring, and self-improving agent skills across any
| Stars | 153 |
| Forks | 15 |
| Language | JavaScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 70.9915851098171/100 |
| Open Issues | 5 |
| Last Updated | 2026-03-31 |
| Created | 2026-03-17 |
| Platforms | claude-code, codex, node |
| Est. Tokens | ~21k |
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agent-skill-bus is The missing runtime for Agent Skills — health monitoring, self-improvement, and dependency management for any AI agent framework. Zero dependencies.. It is categorized as a Codex Skill with 153 GitHub stars.
agent-skill-bus is primarily written in JavaScript. It covers topics such as agent-framework, agent-skills, ai-agents.
You can find installation instructions and usage details in the agent-skill-bus GitHub repository at github.com/ShunsukeHayashi/agent-skill-bus. The project has 153 stars and 15 forks, indicating an active community.
agent-skill-bus is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to agent-skill-bus on Agent Skills Hub include jat, skill-conductor, agent-designer. 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: