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 BA-CalderonMorales · Codex Skill · ★ 131
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is terminal-jarvis safe to install? View the security audit →
Terminal Jarvis Unified command center for AI coding tools Manage Claude, Gemini, Qwen, and 22 more AI assistants from one terminal interface. Safe Testing R
| Stars | 131 |
| Forks | 17 |
| Language | Rust |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 70.2154267572639/100 |
| Open Issues | 2 |
| Last Updated | 2026-08-10 |
| Created | 2025-08-02 |
| Platforms | claude-code, cli, codex, gemini, rust |
| Est. Tokens | ~24k |
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terminal-jarvis is In the midst of all the tools out there that you can possibly use to keep track of them. Here's a "shovel" that just works to try them all out.. It is categorized as a Codex Skill with 131 GitHub stars.
terminal-jarvis is primarily written in Rust. It covers topics such as aider, amp, cargo.
You can find installation instructions and usage details in the terminal-jarvis GitHub repository at github.com/BA-CalderonMorales/terminal-jarvis. The project has 131 stars and 17 forks, indicating an active community.
terminal-jarvis is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to terminal-jarvis on Agent Skills Hub include agf, fallow-skills, gob. 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: