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/zh-efimenko/tech-tutorials/claude-mdgit clone --depth 1 https://github.com/zh-efimenko/tech-tutorialsWhat 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 | $0.01286 | $0.01286 |
| Opus 5 | $0.00643 | $0.00643 |
| Sonnet 5 | $0.00257 | $0.00257 |
| Haiku 4.5 | $0.00129 | $0.00129 |
Grade A, and why
tech-tutorials 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 2d 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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.
- 2d ago First seen · 100 lines · 1,286 tokens per session scan A 96d7642e565e
tech-tutorials CLAUDE.md is an instructions file published in the GitHub repository zh-efimenko/tech-tutorials (19 stars, last pushed 7d ago), with no licence file. It adds 1,286 tokens to every session, about $0.0064 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.
Other instructions, from other repositories
ai-engineering-from-scratch-zh AGENTS.md
Instructions for fancyboi999/ai-engineering-from-scratch-zh, covering agents.md, 定位, 仓库结构, 强制规则 and 依赖约束.
Get-Started-with-Web3 AGENTS.md
Instructions for beihaili/Get-Started-with-Web3, covering get started with web3 agent notes, 项目定位, ceo 运营目标, 常用命令 and ai-native 内容层.
youtube-tutorials AGENTS.md
Instructions for owainlewis/youtube-tutorials, covering repository instructions, before editing, create a tutorial, tutorial standards and writing standards.
agentic-ai-system-course AGENTS.md
Instructions for bryanyzhu/agentic-ai-system-course, covering claude.md — ai mentor's guideline, the design you are working inside, your role, the curriculum and reference systems: optional, triggered, not required.
learn-world-model CLAUDE.md
Claude Code instructions for datawhalechina/learn-world-model, covering claude.md, repository purpose, canonical learning path, repository layout and editing invariants.
ai-engineering-labs CLAUDE.md
Instructions for maxencebernardhub/ai-engineering-labs, a project described as: Hands-on AI engineering labs: OpenAI, Anthropic, Google, local models. From a first API call to an agent deployed live on AWS: RAG, LangChain, LangGraph & Deep Agents, multi-provider routing, offline inference, FastAPI, Docker, Lambda.