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 kamaludu · Agent Tool · ★ 60
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is bash4llm safe to install? View the security audit →
Bash4LLM⁺ 🇮🇹 🇬🇧 Bash4LLM⁺ — wrapper CLI sicuro, Bash‑first e completamente auditabile per l’API Chat Completions compatibile OpenAI di Groq (ed estendibile ad altri provider). Bash4LLM⁺ è un singolo script Bash, auto‑contenuto, leggibile e verificabile. Scaricalo, rendilo eseguibile, esporta la tua API key e inizia subito a usarlo. Compatibile con ambienti Unix‑like: Linux, macOS, WSL, Cygwin, Termux (Android), BSD. Caratteristiche principali Lista modelli dinamica tramite → nessun modello hardcoded. Sicurezza by design → nessun uso di , nessun , permessi restrittivi, validazione provider avanzata. Struttura modulare a sezioni → PRECOREBOOT, PRECORERUN, PROVIDER, CORESETUP, COREPROVIDER. Sistema di Stato UI (uistate) → il CORE espone costantemente metadati in formato JSON atomi
| Stars | 60 |
| Forks | 1 |
| Language | Shell |
| Category | Agent Tool |
| License | GPL-3.0 |
| Quality Score | 70.2280073922381/100 |
| Open Issues | 1 |
| Last Updated | 2026-08-24 |
| Created | 2026-01-18 |
| Platforms | cli, gemini |
| Est. Tokens | ~13k |
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bash4llm is Runtime-free Bash-first wrapper for LLM APIs. Groq-native, extensible to Gemini/Mistral/HuggingFace. Secure, auditable, Termux-friendly.. It is categorized as a Agent Tool with 60 GitHub stars.
bash4llm is primarily written in Shell. It covers topics such as ai-tools, api-wrapper, automation.
You can find installation instructions and usage details in the bash4llm GitHub repository at github.com/kamaludu/bash4llm. The project has 60 stars and 1 forks, indicating an active community.
bash4llm is released under the GPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to bash4llm on Agent Skills Hub include claude-model-router-hook, toktrack, python-substack. 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: