gilvt: Native macOS terminal for running, monitoring, and reviewing parallel Claude Code and Codex sessions

by Gilvt-WTJ · Codex Skill · ★ 69

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install gilvt

brew install --cask gilvt-wtj/gilvt/gilvt
git clone https://github.com/Gilvt-WTJ/gilvt.git

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 67/100

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. Full audit →

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.

ai-agentsclaude-codecodexcoding-agentsgpuimacosrustterminal

Quick Facts

Stars69
Forks12
LanguageRust
CategoryCodex Skill
LicenseApache-2.0
Quality Score67/100
Open Issues8
Last Updated2026-10-19
Created2026-10-07
Platformsclaude-code, codex, rust
Est. Tokens~23k

About gilvt

English | 简体中文 gilvt A native macOS terminal for running and monitoring parallel coding agents. Run Claude Code and Codex in their own TUIs, see which session needs you, and review each turn in place. Website and guides · Download · About · Install · User guide · Contributing · Developing [!NOTE] gilvt is an early release (0.1) and runs on macOS only.

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How this security grade is produced

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:

View on GitHub → Browse Codex Skill tools