lowcode-vscode: lowcode tool, support ChatGPT and other LLM

by lowcoding · Agent Tool · ★ 283

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

Security audit verdict: SAFE · quality 48/100

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.

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.

Quick Facts

Stars283
Forks33
LanguageTypeScript
CategoryAgent Tool
Quality Score48/100
Open Issues2
Last Updated2025-02-13
Created2020-09-28
Platformsnode, vscode
Est. Tokens~465k

About lowcode-vscode

关于 低代码工具,支持 ChatGPT 和其它 LLM 详细文档 文档不经常更新,新功能使用方法可查看 releases 物料仓库 下面是一些例子 OCR + ChatGPT 翻译 生成指定格式 JSON 中文翻译成驼峰格式 当前目录翻译成英文 快速创建代码模板 生成 CURD 以管理后台一个列表页为例 选择对应的模板 截图查询区域,使用 OCR 初始化查询表单的配置 截图表头,使用 OCR 初始化 table 的配置 使用 ChatGPT 翻译中文字段 生成代码 ![](https://github.com/lo

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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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