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 DanWahlin · Codex Skill · ★ 57
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is ai-agent-board safe to install? View the security audit →
How It Works • Features • Getting Started • Environment Variables • Tests • Contributing AI Agent Board A drag-and-drop Kanban board that delegates coding tasks to AI agents — GitHub Copilot, Claude Code, OpenAI Codex, OpenCode, or Hermes. Drop a task into "In Progress," pick an agent, and it will plan, execute, and complete the work, streaming live progress back to the board. How It Works Create a task in the Backlog column Drag it to In Progress — the agent panel opens automatically Configure the run — set the repo path, branch name, agent type, and whether to use a git worktree Click Start Agent — the selected agent begins working, streaming progress in real-time Review the results — commands executed, files modified, output produced Merge or create a PR — merge the branch to main locally, or create a PR if the repo has a GitHub remote Multi-Agent Architecture The server uses a provider pattern (via [@
| Stars | 57 |
| Forks | 14 |
| Language | TypeScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 75.4597510572089/100 |
| Open Issues | 4 |
| Last Updated | 2026-08-23 |
| Created | 2026-02-28 |
| Platforms | claude-code, cli, codex, node |
| Est. Tokens | ~16k |
These tools work well together with ai-agent-board for enhanced workflows:
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ai-agent-board is Drag-and-drop Kanban board that delegates coding tasks to AI agents — GitHub Copilot, Claude Code, OpenAI Codex, and OpenCode — with real-time streaming, task groups, and git worktree isolation.. It is categorized as a Codex Skill with 57 GitHub stars.
ai-agent-board is primarily written in TypeScript. It covers topics such as agents, ai, claude-code.
You can find installation instructions and usage details in the ai-agent-board GitHub repository at github.com/DanWahlin/ai-agent-board. The project has 57 stars and 14 forks, indicating an active community.
ai-agent-board is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to ai-agent-board on Agent Skills Hub include code-preview.nvim, agent-skills, vibe-learn. 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: