Borrowing it
Nothing to install: this file belongs to hzeng-otterai/ai-course-example. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/hzeng-otterai/ai-course-example/main/CLAUDE.mdgit clone --depth 1 https://github.com/hzeng-otterai/ai-course-exampleWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/hzeng-otterai/ai-course-example/claude-md)<a href="https://agentmods.dev/instructions/hzeng-otterai/ai-course-example/claude-md"><img src="https://agentmods.dev/badge/instructions/hzeng-otterai/ai-course-example/claude-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/hzeng-otterai/ai-course-example/claude-md"><img src="https://agentmods.dev/badge/instructions/hzeng-otterai/ai-course-example/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.01184 | $0.01184 |
| Opus 5 | $0.00592 | $0.00592 |
| Sonnet 5 | $0.00237 | $0.00237 |
| Haiku 4.5 | $0.00118 | $0.00118 |
Grade A, and why
ai-course-example CLAUDE.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Purpose
Educational examples for building chatbots and AI agents with LLMs, organized as independent modules demonstrating progressive complexity: direct API usage → LangChain framework → full-stack apps → agentic loops.
Running Code
All modules are standalone Python scripts. Run them directly:
python backend_api/test_chat_simple.py
python backend_langchain/test_05_rag.py
python ai_agent/test_loop_agent.py
python embedding_test/run_embedding_search.py
Required environment variables (.env file):
OPENAI_API_KEY(forbackend_api/,backend_langchain/,fullstack_flask/)ANTHROPIC_API_KEY(forai_agent/)PINECONE_API_KEY(for Pinecone examples)TAVILY_API_KEY(forai_agent/test_chat_with_rag.py)
fullstack_flask app
pip install -r fullstack_flask/requirements.txt
# Initialize DB (first time only)
python -c "from src.app import app, db; app.app_context().__enter__(); db.create_all()"
gunicorn src.app:app # http://localhost:50505
docker-compose up # alternatively
notebook_app_by_cc
# Backend (Django) — http://localhost:8000
cd notebook_app_by_cc/backend
pip install -r requirements.txt
python manage.py migrate # first time only
python manage.py runserver
# Frontend (React + Vite) — http://localhost:5173
cd notebook_app_by_cc/frontend
npm install
npm run dev
Start the backend first; Vite proxies /api/* to localhost:8000. See notebook_app_by_cc/CLAUDE.md for full architecture details.
fullstack_flask_minimal
flask --app src.app run # http://0.0.0.0:5000
Architecture
Module Overview
| Module | Purpose |
|---|---|
embedding_test/ |
GloVe word embeddings + cosine similarity, no API required |
backend_api/ |
OpenAI SDK examples (simple → streaming → multi-turn → function calling → agents) |
backend_langchain/ |
LangChain equivalents (prompts, memory, RAG, tool-calling agents) |
fullstack_flask/ |
Production-style Flask app with RAG, streaming, DB persistence |
fullstack_flask_minimal/ |
Minimal Flask starter template |
ai_agent/ |
Agentic loops with tool execution and context window visualization (Anthropic SDK, claude-sonnet-4-6) |
notebook_app_by_cc/ |
Full-stack notebook app: Django REST Framework backend + React 19 SPA frontend with JWT auth and rich text editing |
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 116 lines · 1,184 tokens per session scan A c78440e26de5
ai-course-example CLAUDE.md is an instructions file published in the GitHub repository hzeng-otterai/ai-course-example (11 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 1,184 tokens to every session, about $0.0059 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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