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 amirfish1 · Codex Skill · ★ 171
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is claude-command-center safe to install? View the security audit →
CCC Start the next while Claude builds the first. One local dashboard for every Claude Code, Codex, Cursor, Antigravity, and Kilo Code session on your Mac. Spawn in parallel, ship in parallel. Install with curl: With Homebrew: Or download the macOS DMG and drag to Applications: github.com/amirfish1/claude-command-center/releases/latest Try the read-only demo first: ccc.amirfish.ai/demo (or amirfish1.github.io/claude-command-center/demo) - full kanban with seeded fake data, no install required. Your browser doesn't support inline video. Download the demo or watch the GIF above. CCC latches onto every Claude Code, Codex, Cursor, Antigravity, and Kilo Code session on your Mac — terminal sessions, headless processes, and sessions you spawned from the
| Stars | 171 |
| Forks | 19 |
| Language | Python |
| Category | Codex Skill |
| Quality Score | 65.0020016131788/100 |
| Open Issues | 3 |
| Last Updated | 2026-09-22 |
| Created | 2026-04-13 |
| Platforms | claude-code, cli, codex, python |
| Est. Tokens | ~19k |
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claude-command-center is Manage and orchestrate your Claude Code, Codex, Cursor, Antigravity, Kimi, Grok, Devin, Droid sessions on your Machine. Spawn in parallel, ship in parallel. Open source.. It is categorized as a Codex Skill with 171 GitHub stars.
claude-command-center is primarily written in Python. It covers topics such as agent-orchestration, agents, ai-agents.
You can find installation instructions and usage details in the claude-command-center GitHub repository at github.com/amirfish1/claude-command-center. The project has 171 stars and 19 forks, indicating an active community.
The top alternatives to claude-command-center on Agent Skills Hub include FlowBoard, authsome, ox. 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: