aichat: All-in-one LLM CLI tool featuring Shell Assistant, Chat-REPL, RAG, AI Tools & Agents, with access to OpenAI

by sigoden · Agent Tool · ★ 10.5k

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

Security audit verdict: SAFE · quality 70/100

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.

aiai-agentschatbotclaudeclifunction-callinggeminillmollamaopenai

Quick Facts

Stars10,453
Forks743
LanguageRust
CategoryAgent Tool
LicenseApache-2.0
Quality Score70/100
Open Issues104
Last Updated2026-02-23
Created2023-03-03
Platformsbrowser, claude-code, cli, gemini, rust
Est. Tokens~448k

About aichat

AIChat: All-in-one LLM CLI Tool AIChat is an all-in-one LLM CLI tool featuring Shell Assistant, CMD & REPL Mode, RAG, AI Tools & Agents, and More. Install Package Managers Rust Developers: Homebrew/Linuxbrew Users: Pacman Users: Windows Scoop Users: Android Termux Users: Pre-built Binaries Download pre-built binaries for macOS, Linux, and Windows from GitHub Releases, extract them, and add the...

Compatible Skills

These tools work well together with aichat for enhanced workflows:

  • open-webui — semantic(0.24)+complementary+shared_fw(ollama,openai)+rare_topics+shared_platform (59%)
  • zeph — semantic(0.21)+complementary+shared_fw(ollama,openai)+same_lang+shared_platform (58%)
  • llm — semantic(0.20)+complementary+shared_fw(ollama,openai)+same_lang+shared_platform (58%)
  • MakerAi — semantic(0.32)+complementary+shared_fw(ollama,openai)+shared_platform (52%)

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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:

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