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 BradGroux · Codex Skill · ★ 834
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is veritas-kanban safe to install? View the security audit →
⚖️ Veritas Kanban Veritas in actis — Truth in action. Local-first task management board with optional AI agent orchestration. Start with a visual Kanban board. Add CLI, MCP, OpenClaw, Squad Chat webhooks, workflows, or governance only when you need that layer. 🎬 Watch the full demo video ⭐ If you find this useful, star the repo — it helps others discover it! Quickstart · Features · Why VK · All Features · Docs · Troubleshooting · API · Agent Setup · MCP Server · Contributing · Changelog Created by Brad Groux — CEO of [Digital Meld](https://digitalme
| Stars | 834 |
| Forks | 99 |
| Language | TypeScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 64.301597753417/100 |
| Open Issues | 40 |
| Last Updated | 2026-09-29 |
| Created | 2026-01-26 |
| Platforms | codex, node |
| Est. Tokens | ~26k |
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veritas-kanban is Lightweight orchestration harness built for your AI agents. The unfiltered truth about where your project stands.. It is categorized as a Codex Skill with 834 GitHub stars.
veritas-kanban is primarily written in TypeScript. It covers topics such as agents, ai-agents, codex.
You can find installation instructions and usage details in the veritas-kanban GitHub repository at github.com/BradGroux/veritas-kanban. The project has 834 stars and 99 forks, indicating an active community.
veritas-kanban is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to veritas-kanban on Agent Skills Hub include ouijit, orchestkit, maestro. 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: