A set of instructions for building applications that use artificial intelligence, such as chatbots, document search, or text-generation tools. It covers Claude, retrieval-augmented generation (RAG), embeddings, and vector databases, which help find relevant documents for an AI answer.

Use it when building Claude API integrations, RAG systems, embedding and vector-search pipelines, streaming responses, or prompts.

It provides a consistent way to design AI features and calls out common problems such as long inputs, made-up answers, and request limits.

t00-ai-dev — Command for Claude Code by maysunAI

Install

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.

Clone the repo

git clone --depth 1 https://github.com/maysunAI/T00-zh

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.

README.md

[![agentmods](https://agentmods.dev/badge/commands/maysunai/t00-zh/t00-ai-dev/github.svg)](https://agentmods.dev/commands/maysunai/t00-zh/t00-ai-dev)

Your own site

<a href="https://agentmods.dev/commands/maysunai/t00-zh/t00-ai-dev"><img src="https://agentmods.dev/badge/commands/maysunai/t00-zh/t00-ai-dev/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.

Your own site · 80×15

<a href="https://agentmods.dev/commands/maysunai/t00-zh/t00-ai-dev"><img src="https://agentmods.dev/badge/commands/maysunai/t00-zh/t00-ai-dev.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 31 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 316 The whole file, excluding the scripts and references it only reads on demand.

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.

Model	Per session	Once invoked
Fable 5.1	$0.00031	$0.00316
Opus 5	$0.00015	$0.00158
Sonnet 5	$0.00006	$0.00063
Haiku 4.5	$0.00003	$0.00032

Measured 9d ago against content hash 3b616e0a271c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

t00-ai-dev 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.

AI00_Common/.claude/commands/t00-ai-dev.md · 38 lines

What it actually says

AI Developer Mode

切换到 AI 应用开发模式。

主要技术栈

Claude API / Anthropic SDK（优先推荐）
LangChain / LlamaIndex（RAG 管道）
向量数据库（ChromaDB, Pinecone, Qdrant）
Embedding 模型

Claude API 最佳实践

默认使用最新 Sonnet 模型（claude-sonnet-4-6）
启用 Prompt Caching 减少费用（cache_control: {"type": "ephemeral"}）
Tool Use：让 AI 调用函数而不是自己解析 JSON
Streaming：长响应用流式输出提升体验

RAG 流程

文档 → 分块 → Embedding → 向量存储
         ↓
用户问题 → Embedding → 检索相关文档 → 组合 Prompt → LLM → 回答

解释风格

说明这个技术解决什么问题
解释数据流向
提供简单可运行的示例
指出常见踩坑（Token 超限、幻觉、速率限制等）

项目规则

只修改需求范围内的代码
如果 CLAUDE.md 有项目特定配置，以项目配置为准

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.

9d ago First seen · 38 lines · 31 tokens per session scan A 3b616e0a271c

Subscribe to this mod's changes

t00-ai-dev is a command published in the GitHub repository maysunAI/T00-zh (2 stars, last pushed 1mo ago), licensed MIT. It adds 31 tokens to every session and 316 once invoked, about $0.0002 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 2026-08-31.

Data and AI LLM Prompting RAG and vectors ai-workflow anthropic chinese claudecode developer-tools

t00-ai-dev

Getting it into your agent

Wrote this? Show the measurements

What it costs to keep this loaded

Grade A, and why

Nothing flagged

What it actually says

AI Developer Mode

What this file has done since we first saw it

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