by gregce · Codex Skill · ★ 93
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 93 |
| Forks | 10 |
| Language | TypeScript |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 54/100 |
| Open Issues | 9 |
| Last Updated | 2026-11-04 |
| Created | 2026-08-12 |
| Platforms | claude-code, codex, node |
| Est. Tokens | ~17k |
Tortie A calm agent multiplexer with familiar IDE features, for macOS. <
These tools work well together with tortie for enhanced workflows:
Looking for a tortie alternative? If you're comparing tortie 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.
The ADE for AI agents. Automate everything else. Do your true work.
A scrolling terminal multiplexer that tracks your AI coding agents.
Native terminal multiplexer for coding agents. Persistent sessions, Git worktrees, diffs, and an integrated ed
All of your agents, shells, and TUIs in one durable terminal workspace
An infinite canvas desktop app for visually managing terminals
A dashboard for running and coordinating multiple AI CLI agents at once.
Explore other popular codex skill tools:
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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: