AI-fundamentals: Instructions file for Claude Code

CLAUDE.md

AI-fundamentals CLAUDE.md is an instructions file for Claude Code from ForceInjection/AI-fundamentals. It costs 2,172 tokens per session, scanned A, original, Apache-2.0.

Repository-specific instructions for AI Fundamentals, a Chinese-language collection of Markdown lessons about artificial intelligence infrastructure and programming. They describe its structure and writing conventions.

In plain words
What is it for?
Use them when adding, editing, organizing, or committing documentation in the AI Fundamentals repository.
Why use it?
They help keep new or edited learning material in the right place and consistent with the repository’s organization and commit style.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md. Also seen: mentions CLAUDE.md; mentions Claude Code; mentions AGENTS.md.

This is ForceInjection/AI-fundamentals's own configuration. It tells Claude Code how to work on AI-fundamentals itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything AI-fundamentals configures →

Not installable: its command points at a path on the author’s own machine, so it runs nowhere else. The line is /Users/wangtianqing/Project/ai-infra/vLLM/.

About the project

AI Fundamentals is a learning resource about the foundations and infrastructure behind artificial intelligence, including GPU architecture, CUDA programming, large language models, AI systems, and related operations. It is intended for AI engineers, system architects, GPU developers, application developers, and researchers. The catalogue add-ons support learning or working with these AI infrastructure topics.

ForceInjection/AI-fundamentals · 2,542 stars · on GitHub · forceinjection.github.io

Reuse

Borrowing it

Nothing to install: this file belongs to ForceInjection/AI-fundamentals. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/ForceInjection/AI-fundamentals/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/ForceInjection/AI-fundamentals

Made for: Claude Code.

Wrote 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.

agentmods badge for AI-fundamentals CLAUDE.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/forceinjection/ai-fundamentals/claude-md.svg)](https://agentmods.dev/instructions/forceinjection/ai-fundamentals/claude-md)
Your own site
<a href="https://agentmods.dev/instructions/forceinjection/ai-fundamentals/claude-md"><img src="https://agentmods.dev/badge/instructions/forceinjection/ai-fundamentals/claude-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 2,172 This file is loaded in full into every session.
When invoked 2,172 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.02172 $0.02172
Opus 5 $0.01086 $0.01086
Sonnet 5 $0.00434 $0.00434
Haiku 4.5 $0.00217 $0.00217

Measured 7d ago against content hash 326eb8767b4e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

AI-fundamentals 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 7d 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

CLAUDE.md · 132 lines

How it starts

The opening of the file, as written. The whole thing — 132 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.

Repository overview

AI Fundamentals is a Chinese-language knowledge repository covering the full AI infrastructure stack: GPU architecture, CUDA programming, LLM theory, inference systems, cloud-native AI platforms, agentic systems, RAG, and more. All content is authored in Markdown.

  • License: Apache 2.0
  • Content is organized in semantically numbered top-level directories (01_hardware_architecture/ through 11_ai_native_everything/, plus 98_llm_programming/ and 99_misc/). Each directory corresponds to a major topic area with its own README.md portal.
  • 02_dpu_programming/02_gpu_programming/02_npu_programming/ share the 02_ prefix — all three are sub-modules under "底层计算与异构编程."
  • AGENTS.md exists alongside this file and covers module-level architecture details for GitHub Copilot. This file focuses on project-level conventions that apply to all work in the repo.

Commit conventions

This repo uses Conventional Commits with Chinese descriptions:

docs(scope): description
chore(scope): description
refactor(scope): description
feat(scope): description

Scopes are derived from directory/topic areas. Common scopes seen in the history: readme, dpu, gpu, npu, training, llm-theory, rag, graph_rag, agentic, agent_infra, inference, kv_cache, vllm, reference_design, storage, gpu_manager, k8s, course, trae, multi_agent, ai-native, smart_customer_service, kvbm, submodule. Look at git log --oneline for recent examples before committing.

File conventions

  • All top-level topic directories use zero-padded numeric prefixes (e.g., 01_, 02_, 03_) to maintain ordering.
  • Within a topic directory, files may use numeric prefixes for ordering (e.g., 01_concepts.md, 02_practice.md).
  • Translated content appends a language suffix to the filename (e.g., file.zh-CN.md).
  • Image assets live in img/ at the repo root, or alongside the files that reference them within topic subdirectories.
  • Interactive HTML visualizations (e.g., inference pipeline demos) are placed alongside the markdown documents they complement, in the same topic subdirectory.
  • README.md files at directory roots serve as navigation portals and contain link trees to content within that directory. When adding a new article, you must update the corresponding directory's README.md portal to include a link to the new file — this is the primary navigation mechanism for readers.

Read the full file on GitHub · 132 lines

Changes

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.

  1. 7d ago First seen · 132 lines · 2,172 tokens per session scan A 326eb8767b4e

Subscribe to this mod's changes

AI-fundamentals CLAUDE.md is an instructions file published in the GitHub repository ForceInjection/AI-fundamentals (2,542 stars, last pushed today), licensed Apache-2.0. It adds 2,172 tokens to every session, about $0.0109 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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