astronclaw-tutorial: 从零到工作流,掌握 AstronClaw与 Loomy的 AI 助手实战教程 | A complete tutorial to master AstronClaw & Loomy

by iflytek · Codex Skill · ★ 354

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

How to install astronclaw-tutorial

git clone https://github.com/iflytek/astronclaw-tutorial.git

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

Security audit verdict: SAFE · quality 65/100

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.

agentai-agentiflytek-astronopenclaw

Quick Facts

Stars354
Forks44
LanguageJavaScript
CategoryCodex Skill
LicenseApache-2.0
Quality Score65/100
Open Issues12
Last Updated2026-10-12
Created2026-03-19
Platformsnode
Est. Tokens~13k

About astronclaw-tutorial

AstronClaw & Loomy 教程 🦞      English | 简体中文 🚀 在线阅读 | ☁️ 体验云端龙虾 | 💻 下载 Loomy 桌面端 项目简介 本项目是一个面向 AstronClaw 和 Loomy 的完整学习教程,帮助你从零开始掌握这款强大的 AI 助理系统。 AstronClaw:基于 OpenClaw 核心能力打造的云端 AI 助手,提供全天候在线服务,随时随地通过企业微信、钉钉、飞书等渠道为你效劳。 Loomy:聚焦真实办公场景的桌面端 AI 工作搭子,深入打通本地文件和系统工具,构建个

Compatible Skills

These tools work well together with astronclaw-tutorial for enhanced workflows:

  • hello-claw — semantic(0.19)+complementary+same_lang+similar_pop+shared_platform (52%)
  • mcp-server-airbnb — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (51%)
  • claw-empire — semantic(0.26)+complementary+similar_pop+shared_platform (49%)
  • openclaw-a2a-gateway — semantic(0.25)+complementary+similar_pop+shared_platform (49%)

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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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