adhdev: Agent Dashboard Hub. Monitor & control AI coding agents from a single dashboard. Self-hosted, open-source

by vilmire · Codex Skill · ★ 116

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install adhdev

npm install -g adhdev
npm install -g @adhdev/daemon-standalone

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 60/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

ai-agentsai-codingai-coding-assistantantigravityclaudeclaude-codeclicodexcursor-aidashboard

Quick Facts

Stars116
Forks17
LanguageTypeScript
CategoryCodex Skill
LicenseAGPL-3.0
Quality Score60/100
Last Updated2026-11-05
Created2026-03-17
Platformsclaude-code, cli, codex, node
Est. Tokens~19k

About adhdev

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...

Compatible Skills

These tools work well together with adhdev for enhanced workflows:

  • OpenACP — semantic(0.34)+complementary+same_lang+similar_pop+shared_platform (62%)
  • meer — semantic(0.21)+complementary+rare_topics+same_lang+similar_pop+shared_platform (62%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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:

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