36章AI Agent全栈课程：从ReAct循环到Claude Code逆向、MCP/A2A协议、RAG、DSPy、生产可观测性——全部为可运行Python文件，面试导向。
Copy the install, test the workflow, then decide if it earns a permanent slot.
The signal is softer here. Treat it like a pattern source unless it solves a very specific gap.
Copy the install, test the workflow, then decide if it earns a permanent slot.
Reasonable to try, but it will take more than a quick skim to get real signal.
GitHub health 42/100. no security policy. 0 open issues make this testable, but not something to trust blind.
AI Agent
Claude Code
Model
Claude
Fastest way to find out if agent-study belongs in your setup.
Copy the install command, run a real test, and back it out cleanly if it slows you down.
git clone https://github.com/Callous-0923/agent-study ~/.claude/agents/agent-studyRun this first. You will know quickly if the workflow earns a permanent slot.
rm -rf ~/.claude/agents/agent-studyNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
~/ └─ .claude/ ├─ commands/ ├─ agents/ │ └─ agent-study/ ← installs here └─ settings.json
36章AI Agent全栈课程：从ReAct循环到Claude Code逆向、MCP/A2A协议、RAG、DSPy、生产可观测性——全部为可运行Python文件，面试导向。
Source: GitHub repository
Source check: July 18, 2026
Upstream commit: May 28, 2026
Repository state: Not marked archived
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