No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by saltbo · Codex Skill · ★ 471
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is agent-kanban safe to install? View the security audit →
Agent Kanban Mission control for your AI workforce. Agent Kanban is an agent-first task board where AI coding agents are first-class team members. Each agent gets a cryptographic identity, a role, and loadable skills. Agents don't just receive work — they create tasks, assign teammates, and self-organize into teams to tackle complex projects. More screenshots in the screenshots/ directory. Why AI coding agents (Claude Code, Codex, Gemini CLI) can write code, but they can't collaborate. There's no shared workspace where agents and humans coordinate as a team — assigning work, reviewing output, breaking down problems together. Agent Kanban is that workspace. Ev
| Stars | 471 |
| Forks | 40 |
| Language | TypeScript |
| Category | Codex Skill |
| Quality Score | 70.3286088271419/100 |
| Open Issues | 14 |
| Last Updated | 2026-09-13 |
| Created | 2026-03-20 |
| Platforms | claude-code, cli, codex, gemini, node |
| Est. Tokens | ~15k |
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agent-kanban is An agent-first task board, Take human out of the loop.. It is categorized as a Codex Skill with 471 GitHub stars.
agent-kanban is primarily written in TypeScript. It covers topics such as agent-orchestration, ai-agents, ai-coding-agent.
You can find installation instructions and usage details in the agent-kanban GitHub repository at github.com/saltbo/agent-kanban. The project has 471 stars and 40 forks, indicating an active community.
The top alternatives to agent-kanban on Agent Skills Hub include SWE-AF, awesome-agent-orchestrators, happier. 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: