by amirfish1
One local board for Claude Code, Codex, Cursor and 5 more coding agents. See which session needs you, share your fleet card, start free on $0 models. Source-available.
# Add to your Claude Code skills
git clone https://github.com/amirfish1/claude-command-centerGuides for using ai agents skills like claude-command-center.
Last scanned: 8/2/2026
{
"issues": [
{
"file": "README.md",
"line": 533,
"type": "secret-exfiltration",
"message": "Instruction appears to send credentials/secrets to an external endpoint",
"severity": "medium"
},
{
"file": "README.md",
"line": 118,
"type": "remote-install",
"message": "Install command (remote install script piped to a shell — review the source before running): \"curl | bash\"",
"severity": "low"
},
{
"file": "README.md",
"line": 312,
"type": "dangerous-command",
"message": "Dangerous command (writes to Claude config): \"> │ ~/.claude/\"",
"severity": "medium"
}
],
"status": "PASSED",
"scannedAt": "2026-08-02T06:31:38.813Z",
"npmAuditRan": true,
"pipAuditRan": true,
"promptInjectionRan": true
}See how claude-command-center compares with popular alternatives.
claude-command-center is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by amirfish1. One local board for Claude Code, Codex, Cursor and 5 more coding agents. See which session needs you, share your fleet card, start free on $0 models. Source-available. It has 212 GitHub stars.
Yes. claude-command-center passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/amirfish1/claude-command-center" and add it to your Claude Code skills directory (see the Installation section above).
claude-command-center is primarily written in Python. It is open-source under amirfish1 on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh claude-command-center against similar tools.
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From $49 · 30 days · terms & refunds
⚠️ Third-Party Software Notice
This skill is third-party open-source software developed and hosted independently on GitHub. SkillsLLM is an informational directory and does not control or maintain the underlying repository.
Any security checks, ratings, or warnings displayed by SkillsLLM are automated and limited in scope. They do not constitute a security certification or guarantee that the software is safe, error-free, or free from malicious code, vulnerabilities, compromised dependencies, or prompt-injection risks.
Review the source code, permissions, dependencies, and configuration before installing or running any third-party skill. Use is at your own risk. To the maximum extent permitted by applicable law, SkillsLLM is not liable for losses arising from third-party software.
Automated security scan — not a certification.
Your coding agents outgrew your terminal.
CCC is a free, local command center for coding agents. Every Claude Code, Codex, Cursor, Grok, Devin and Kimi session lands on one live board. Each row tells you what the agent did and what it needs from you, so you answer the one that's blocked and leave the rest working. Not affiliated with Anthropic.
curl -fsSL https://raw.githubusercontent.com/amirfish1/claude-command-center/main/scripts/install.sh | CCC_FROM=readme bash
Needs Git and Python 3.9+ (macOS or Linux; Windows). Opens http://localhost:8090 and asks before installing a background service. Sends one anonymous daily ping; CCC_TELEMETRY_DISABLED=1 turns it off (what it sends).
Or brew install amirfish1/tap/ccc && ccc, or grab the macOS DMG.
Want to look first? The live demo runs in your browser with fake data, no install.

CCC v5.41 on demo data. The refunds session split its tests out to Codex and its review to a second Claude; both lanes report back under it.
“Hey Amir, great product. I tried about 20 before finding yours. I have been really enjoying it.”
CCC user
Nine engines on one board, however you launched them: from CCC, a terminal, or an IDE. CCC reads each agent's own session files, so there's nothing to wrap or migrate. Local and source-available: no account, no cloud, free to use at work (FSL-1.1-MIT).

New to coding agents? The first-run wizard checks your machine, helps install Node, the Claude Code CLI, and a local free-model router, then runs your first real task on a $0 model. You approve each install step. It ends with the honest math: "This run cost $0. At API prices it would have cost $X."
Walk through setup · Free providers and privacy. Free providers have their own limits. The keyless provider logs prompts for training; CCC asks for consent before enabling it. Do not send it private code.
See sessions you started in a terminal or from CCC. Each agent's own files keep the list up to date.
Group sessions by the work they belong to. Keep your live sessions next to a map of your projects.
Drag a session onto the edge of an open conversation to read two agents side by side. Each has its own input bar.
Search your session history without extra setup. An optional semantic mode helps when you cannot remember the exact words.
Post once to a group chat and every participant gets the message. No copying answers between terminals.
Put work in a WatchTower queue. Tickets survive closed sessions, and workers can pick them up in parallel.
Workers read their queue's shared learnings before a task and write back afterwards, so the next worker has that experience.
Monitor sessions and reply from your phone on a trusted network. CCC stays local by default. Settings > Phone access guides you through Tailscale. Phone setup.
All captures use seeded demo data. Full feature guide.
You need Git and Python 3.9+ for the dashboard. To launch agents, use an
installed agent CLI or let the first-run wizard help set one up. gh is
optional for GitHub features.
Prefer Python tools? Build and run a wheel with uvx or pipx. This is a source-build preview, not a PyPI release.
WatchTower powers CCC's queues. See setup and requirements.
irm https://raw.githubusercontent.com/amirfish1/claude-command-center/main/scripts/install.ps1 | iex
From a clone, run .\run.ps1. Native Windows runs in the foreground; WSL2
supports the Linux systemd service route. Windows guide.
git clone https://github.com/amirfish1/claude-command-center
cd claude-command-center
./run.sh
Open http://localhost:8090, then pick a repo before starting work. Keep the terminal open for a foreground launch.
Use ./run.sh in the foreground or ./run.sh --install-service for a systemd
user service. Linux and WSL2 guide ·
[macOS services](docs/install.md#f