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 vilmire · Codex Skill · ★ 96
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is adhdev safe to install? View the security audit →
English | 한국어 ADHDev Ten coding agents on one repo, none of them stepping on each other — driven from your browser or phone. AI coding agents have become long-running background workers. ADHDev is the control plane for them: launch, watch, approve, and steer agent sessions from a web or mobile dashboard — Claude Code, Codex, Kimi, Cursor CLI, Antigravity CLI side by side, across every machine you own — and hand off convergence to an unattended pipeline that merges finished work into . Parallel agents without the collisions. Every task runs in its own git worktree; the Refinery gates, verifies, and fast-forwards finished work home — no merge-day hangover. Website: adhf.dev · Docs: docs.adhf.dev <img src="docs/assets/readme/landing-command-center
| Stars | 96 |
| Forks | 15 |
| Language | TypeScript |
| Category | Codex Skill |
| License | AGPL-3.0 |
| Quality Score | 58.3153298264668/100 |
| Last Updated | 2026-09-19 |
| Created | 2026-03-17 |
| Platforms | claude-code, cli, codex, node |
| Est. Tokens | ~19k |
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adhdev is 🦦 ADHDev — Agent Dashboard Hub. Monitor & control AI coding agents from a single dashboard. Self-hosted, open-source.. It is categorized as a Codex Skill with 96 GitHub stars.
adhdev is primarily written in TypeScript. It covers topics such as ai-agents, ai-coding, ai-coding-assistant.
You can find installation instructions and usage details in the adhdev GitHub repository at github.com/vilmire/adhdev. The project has 96 stars and 15 forks, indicating an active community.
adhdev is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to adhdev on Agent Skills Hub include sub-agents-mcp, claude-view, sub-agents-skills. 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: