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 vince-0202 · Agent Tool · ★ 81
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is acgo safe to install? View the security audit →
ACGO 参考项目 。 用于构建 AI Agent、管理 LLM 部署的 Go CLI / TUI 工具。基于项目思想进行构建并加强。 功能概览 TUI 对话体验:在终端中与 Agent 进行多轮对话,支持上下文管理与工具调用(计划逐步对齐 的 交互体验)。 LLM Provider 抽象:通过统一接口接入多家模型 Provider(参考 的 设计,逐步演进中)。 Agent 运行时:封装会话状态与工具调用(参考 的 能力,逐步补齐)。 快速开始 以下步骤介绍如何使用acgo创建一个agent并与agent进行一轮交互。代码在 1.创建配置文件信息 在 目录下创建 文件。 2.加载配置文件信息 3.构建agent 4.注册监听函数 5.发送消息并由注册函数打印结果 贡献 欢
| Stars | 81 |
| Forks | 9 |
| Language | Go |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 56.7184116032917/100 |
| Open Issues | 1 |
| Last Updated | 2026-04-13 |
| Created | 2026-03-17 |
| Platforms | go |
| Est. Tokens | ~5191k |
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acgo is acgo is a agent coding tool for golang.. It is categorized as a Agent Tool with 81 GitHub stars.
acgo is primarily written in Go.
You can find installation instructions and usage details in the acgo GitHub repository at github.com/vince-0202/acgo. The project has 81 stars and 9 forks, indicating an active community.
acgo is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to acgo on Agent Skills Hub include tutor-skills, repren. 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: