AutoCLI — security grade SAFE, quality 71/100

Security audit verdict: SAFE · quality 71/100

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 nashsu · Agent Tool · ★ 3.0k

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

🔒 Is AutoCLI safe to install? View the security audit →

About AutoCLI

AutoCLI Formerly known as opencli-rs. Renamed to AutoCLI starting from v0.2.4. English 日本語 https://autocli.ai — AI-powered adapter marketplace & cloud API What's New v0.3.2 Chrome Extension Selector Tool — Just select the core data you need, visually pick elements from any page and build precise CSS selectors to target specific content AI-Powered Generation via AutoCLI.ai — Based on your selected data, AI automatically expands and discovers related fields, generating complete scraping rules Seamless Local + Cloud Sync — Generated adapters are saved locally and synced to AutoCLI.ai, ready to use immediately Blazing fast, memory-safe command-line tool — Fetch information from any website with a single command. Covers Twitter/X, Reddit, YouTube, HackerNews, Bilibili, Zhihu, Xiaohongshu, and 55+ sites, with support for controlling Electron desktop apps, integrating local CLI tools (, , ), powered by browser session reuse and AI-native discovery capabilities. A complete rewrite in pure Rust based on OpenCLI (TypeScript). Feature-equivalent, up to 12x faster, 10x less memory, single 4.7MB binary, zero runtime dependenci

Quick Facts

Stars2,999
Forks273
LanguageRust
CategoryAgent Tool
LicenseApache-2.0
Quality Score70.8914912061214/100
Open Issues46
Last Updated2026-04-20
Created2026-03-24
Platformsbrowser, cli, docker, rust
Est. Tokens~28k

Compatible Skills

These tools work well together with AutoCLI for enhanced workflows:

  • code2prompt — semantic(0.19)+complementary+same_lang+similar_pop+shared_platform (52%)
  • tock — semantic(0.19)+complementary+similar_pop+shared_platform (47%)
  • Agent-Reach — semantic(0.30)+complementary+similar_pop+shared_platform (45%)
  • last30days-skill — semantic(0.15)+complementary+similar_pop+shared_platform (45%)

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Looking for a AutoCLI alternative? If you're comparing AutoCLI with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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Frequently Asked Questions

What is AutoCLI?

AutoCLI is AutoCLI is a Blazing fast, memory-safe command-line tool — Fetch information from any website with a single command. Covers Twitter/X, Reddit, YouTube, HackerNews, Bilibili, Zhihu, Xiaohongshu, and 5. It is categorized as a Agent Tool with 3.0k GitHub stars.

What programming language is AutoCLI written in?

AutoCLI is primarily written in Rust.

How do I install or use AutoCLI?

You can find installation instructions and usage details in the AutoCLI GitHub repository at github.com/nashsu/AutoCLI. The project has 3.0k stars and 273 forks, indicating an active community.

What license does AutoCLI use?

AutoCLI is released under the Apache-2.0 license, making it free to use and modify according to the license terms.

What are the best alternatives to AutoCLI?

The top alternatives to AutoCLI on Agent Skills Hub include notebooklm-skill, agent-skills, excalidraw-diagram-skill. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

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:

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