Flagged: opens a tunnel service. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by open-mercato · Codex Skill · ★ 227
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is cezar safe to install? View the security audit →
cezar ⚡ Demo · Quick start · Docs · Issues Run coding agents in parallel, right in your repo. Local, zero config, no accounts. ▶ Watch the video: Meet cezar, your new parallel coding tool. Features 💯 Free and open source. 🖥️ Uses your own , , or login. No API key needed. ☁️ Easy to set up on a VPS, so you
| Stars | 227 |
| Forks | 61 |
| Language | TypeScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 66.3145749457233/100 |
| Open Issues | 159 |
| Last Updated | 2026-09-20 |
| Created | 2026-05-19 |
| Platforms | claude-code, cli, codex, node |
| Est. Tokens | ~15k |
These tools work well together with cezar for enhanced workflows:
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cezar is Cezar is a parallel coding agents orchestrator. Type a task, pick a workflow and an agent — Claude Code, Codex or OpenCode, or a mix of them per step — and watch it work live: steps, tool calls ... o. It is categorized as a Codex Skill with 227 GitHub stars.
cezar is primarily written in TypeScript. It covers topics such as agent-fleet, claude-code, codex-cli.
You can find installation instructions and usage details in the cezar GitHub repository at github.com/open-mercato/cezar. The project has 227 stars and 61 forks, indicating an active community.
cezar is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to cezar on Agent Skills Hub include operator-oss, garcon, bug-hunter. 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: