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 greenfield-inc · Codex Skill · ★ 478
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Pane safe to install? View the security audit →
Run any coding agent, on any OS, from desktop or phone. just terminals. no abstractions. Appearance follows your OS — see Appearance. [![Ac
| Stars | 478 |
| Forks | 210 |
| Language | TypeScript |
| Category | Codex Skill |
| Quality Score | 62.3279010185112/100 |
| Open Issues | 132 |
| Last Updated | 2026-09-23 |
| Created | 2026-02-27 |
| Platforms | claude-code, cli, codex, node |
| Est. Tokens | ~20k |
These tools work well together with Pane for enhanced workflows:
Looking for a Pane alternative? If you're comparing Pane with other codex skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
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Explore other popular codex skill tools:
Pane is Terminal-first, open-source AI agent manager for any CLI agent (agent agnostic), any OS (mac, windows, linux). The Open-Source Agentic Development Environment for running multiple coding agents in par. It is categorized as a Codex Skill with 478 GitHub stars.
Pane is primarily written in TypeScript. It covers topics such as agent-manager, agentic-ai, agents.
You can find installation instructions and usage details in the Pane GitHub repository at github.com/greenfield-inc/Pane. The project has 478 stars and 210 forks, indicating an active community.
The top alternatives to Pane on Agent Skills Hub include Pane, hcom, awesome-agent-orchestrators. 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: