by hoangperry · Codex Skill · ★ 205
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
brew install --cask hoangperry/herminal/herminal
git clone --recurse-submodules https://github.com/hoangperry/herminal
Taken from the project's README on GitHub.
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 | 205 |
| Forks | 2 |
| Language | Swift |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 53/100 |
| Open Issues | 7 |
| Last Updated | 2026-09-04 |
| Created | 2026-05-20 |
| Platforms | claude-code, codex |
| Est. Tokens | ~15k |
herminal AI-native macOS terminal for developers who run Claude Code and agent CLIs all day — built Vietnamese-first, IME-correct for every input method. Website: · Download: latest release · Source: this repo Status: is publicly available as a signed, notarized DMG; carries post-v1 fixes. See [CHANGELOG](CHAN
These tools work well together with herminal for enhanced workflows:
Looking for a herminal alternative? If you're comparing herminal 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.
A native macOS terminal app built on Ghostty for running and supervising coding agents
A scrolling terminal multiplexer that tracks your AI coding agents.
Let AI agents message, watch, and spawn each other across terminals. Claude Code, Codex, Antigravity CLI, Curs
:round_pushpin: My dotfiles for macOS using Neovim, Zsh, and Ghostty + Tmux
A native macOS terminal for agent-driven development, built on Ghostty.
Native Safari browser automation for AI agents. 98 tools via AppleScript — zero overhead, keeps logins, runs s
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: