Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add instructions/forceinjection/forceinjection.github.io/claude-mdgit clone --depth 1 https://github.com/ForceInjection/forceinjection.github.ioWhat 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 | $0.02172 | $0.02172 |
| Opus 5 | $0.01086 | $0.01086 |
| Sonnet 5 | $0.00434 | $0.00434 |
| Haiku 4.5 | $0.00217 | $0.00217 |
Grade A, and why
forceinjection.github.io 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 yesterday.
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.
This is a copy
100% identical to AI-fundamentals CLAUDE.md — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
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/through11_ai_native_everything/, plus98_llm_programming/and99_misc/). Each directory corresponds to a major topic area with its ownREADME.mdportal. 02_dpu_programming/、02_gpu_programming/和02_npu_programming/share the02_prefix — all three are sub-modules under "底层计算与异构编程."AGENTS.mdexists 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.mdfiles 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'sREADME.mdportal to include a link to the new file — this is the primary navigation mechanism for readers.
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.
- yesterday First seen · 132 lines · 2,172 tokens per session scan A 326eb8767b4e
forceinjection.github.io CLAUDE.md is an instructions file published in the GitHub repository ForceInjection/forceinjection.github.io (51 stars, last pushed 7d ago), 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. It is 100% identical to AI-fundamentals CLAUDE.md, differing in 0 lines, and is treated as a copy.
Other instructions, from other repositories
ai-gateway AGENTS.md
Instructions for ferro-labs/ai-gateway, covering agents.md, project overview, current development snapshot, public-facing wording and build, test, and run commands.
DashClaw CLAUDE.md
Instructions for ucsandman/DashClaw, covering dashclaw (v2 governance runtime), commands, verify before you commit, gotchas (what you can't infer from the code) and governance boundary.
DashClaw AGENTS.md
Instructions for ucsandman/DashClaw, covering tooling note, design context, gitnexus — code intelligence, always do and never do.
DashClaw copilot-instructions.md
Instructions for ucsandman/DashClaw, covering dashclaw — github copilot instructions, design context, users, brand personality and aesthetic direction.
awesome-ai-gateway CLAUDE.md
Instructions for cuihuan/awesome-ai-gateway, covering claude.md — working rules for this repository, what this repository is, the two goals — judge every change against these, non-negotiable rules and before you commit.
holon AGENTS.md
Instructions for holon-run/holon, covering repository guidelines, project structure & module organization, product intent, development priorities and coding style & naming conventions.