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 ofekron · Codex Skill · ★ 54
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is better-agent safe to install? View the security audit →
Better Agent Run every coding agent. Keep every session. Claude, Codex, and Antigravity in one local workspace—persistent, inspectable, and available from every trusted screen. Install · Why Better Agent · How it works · Install guide · Extensions [!NOTE] Better Ag
| Stars | 54 |
| Forks | 6 |
| Language | Python |
| Category | Codex Skill |
| Quality Score | 68.7445347389658/100 |
| Open Issues | 1 |
| Last Updated | 2026-08-10 |
| Created | 2026-06-24 |
| Platforms | browser, claude-code, cli, codex, gemini, python |
| Est. Tokens | ~15k |
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better-agent is Local web workspace for coding agents — Claude, Codex, Gemini, and more in one inspectable, LAN-ready hub.. It is categorized as a Codex Skill with 54 GitHub stars.
better-agent is primarily written in Python. It covers topics such as agent-orchestration, ai-agents, ai-coding-assistant.
You can find installation instructions and usage details in the better-agent GitHub repository at github.com/ofekron/better-agent. The project has 54 stars and 6 forks, indicating an active community.
The top alternatives to better-agent on Agent Skills Hub include OmoiOS, captain-claw, sage. 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: