by baby-llm · Agent Tool · ★ 485
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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.
| Stars | 485 |
| Forks | 75 |
| Language | Go |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 69/100 |
| Open Issues | 11 |
| Last Updated | 2026-06-08 |
| Created | 2026-01-04 |
| Platforms | go |
| Est. Tokens | ~31k |
BabyAgent - 后端工程师的 AI Agent 教学项目 (Go 语言版) 🏠 项目地址： https://github.com/baby-llm/baby-agent 🚀 从后端视角出发，用 Go 语言手写一遍 Agent 框架的关键原理。 本项目专为没有 LLM 背景但具备基础 Golang 经验的后端工程师设计。我们将跳过复杂的数学推导，优先从工程实现理解核心概念：你会看到每一步为什么这么设计、替代方案是什么、以及它们在真实系统里会遇到哪些坑。 重要说明（请先读） - 本项目是教学仓库：目标是用可运行的代码把 Agent、Tool Calling、Agent Loop、MCP、Memory、RAG 等机制讲清楚。 - 本项目不是“开箱即用的生产框架”，也不建议直接用于生产环境的二次开发。 - 如果你希望落地到真实业务：这里更适合作为原理参考 +...
Looking for a baby-agent alternative? If you're comparing baby-agent 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.
Open-source agentic data engineering harness for dbt, SQL, and cloud warehouses. 100+ tools, 10 warehouses, AI
A desktop MCP client designed as a tool unitary utility integration, accelerating AI adoption through the Mode
MCP server for semantic code research and context generation on real-time using LLM patterns | Search naturall
The open context engine for AI agents support 15+ data sources. Built on Rust and Apache DataFusion.
The missing linter and lsp for AI coding assistants. Validate CLAUDE.md, AGENTS.md, SKILL.md, hooks, MCP. Plug
An agent runtime for Python. Give your agent real work. Keep control: every action checked before it runs, eve
Explore other popular agent tool tools:
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: