Borrowing it
Nothing to install: this file belongs to linhai0872/agno-agent-starter. 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/linhai0872/agno-agent-starter/main/AGENTS.mdgit clone --depth 1 https://github.com/linhai0872/agno-agent-starterWrote 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/linhai0872/agno-agent-starter/agents-md)<a href="https://agentmods.dev/instructions/linhai0872/agno-agent-starter/agents-md"><img src="https://agentmods.dev/badge/instructions/linhai0872/agno-agent-starter/agents-md.svg" alt="Measured on agentmods" 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 | $0.02129 | $0.02129 |
| Opus 5 | $0.01064 | $0.01064 |
| Sonnet 5 | $0.00426 | $0.00426 |
| Haiku 4.5 | $0.00213 | $0.00213 |
Grade A, and why
agno-agent-starter AGENTS.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.
How it starts
The opening of the file, as written. The whole thing — 277 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agno Agent Service 开发规范
AI 工具主规范文档。所有 AI 辅助开发工具(Cursor、Claude Code 等)应参考本文档。
核心哲学
- AgentOS First — 使用 AgentOS 标准 API,不手写 FastAPI 路由
- Single Agent 优先 — 90% 场景用单 Agent + 工具解决,避免过度使用 Team/Workflow
- 配置与代码分离 — 模型参数用
ModelConfig配置,不硬编码
项目结构概览
agno-agent-starter/
├── app/ # 应用代码(User Code 区域)
│ ├── main.py # AgentOS 入口(脚手架核心,慎改)
│ ├── config.py # 三层配置加载器(脚手架核心)
│ ├── agents/ # ✏️ Agent 实现(用户扩展区)
│ ├── teams/ # ✏️ Team 实现(用户扩展区)
│ ├── workflows/ # ✏️ Workflow 实现(用户扩展区)
│ ├── models/ # 模型抽象层(脚手架提供)
│ ├── tools/ # 三层工具注册表
│ │ ├── framework/ # 框架级工具(脚手架提供)
│ │ ├── project/ # ✏️ 项目级工具(用户扩展区)
│ │ └── user/ # Agent 专用工具
│ ├── hooks/ # 护栏与生命周期钩子
│ └── mcp/ # MCP Server(AI Agent 开发工具)
├── api/ # OpenAPI 规格(自动生成)
├── tests/ # 单元测试(镜像 app/ 结构)
├── scripts/ # 脚本工具(含 agno CLI)
└── .cursor/rules/ # Vibe Coding 规则
User Code vs Scaffold Core:
- ✏️ 标记 = 用户扩展区,自由修改
- 无标记 = 脚手架核心,谨慎修改
开发规范
命名规则
| 元素 | 规则 | 示例 |
|---|---|---|
| Agent ID | kebab-case |
github-analyzer |
| 文件名 | snake_case.py |
github_analyzer.py |
| 类名 | PascalCase |
GitHubAnalyzer |
| 函数/变量 | snake_case |
analyze_repo |
| 常量 | UPPER_SNAKE_CASE |
MAX_RETRIES |
性能要求
- 禁止在循环中创建 Agent,Agent 实例是重量级对象
- 创建一次,复用多次
- 异步操作使用
async def
代码风格
- 禁止在 print/log 中使用 emoji
- 工具函数返回
str,让模型处理 - 每个模块必须在
__init__.py注册
模型配置
基础用法
from app.models import ModelConfig, create_model
AGENT_MODEL_CONFIG = ModelConfig(
model_id="google/gemini-2.5-flash-preview-09-2025",
temperature=0.1,
max_tokens=16384,
)
model = create_model(AGENT_MODEL_CONFIG)
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.
- 7d ago First seen · 277 lines · 2,129 tokens per session scan A 5fb5bb2f9606
agno-agent-starter AGENTS.md is an instructions file published in the GitHub repository linhai0872/agno-agent-starter (6 stars, last pushed 7mo ago), licensed MIT. It adds 2,129 tokens to every session, about $0.0106 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.
Other instructions, from other repositories
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.