eino

eino is a skill for Claude Code, Codex from fanqingxuan/awesome-skills. It costs 126 tokens per session (5,470 once invoked), scanned A, original, MIT.

A Go framework assistant for building applications that use large language models, including AI agents and multi-agent systems.

In plain words
What is it for?
Use it to build agents, connect tools, create workflows, stream responses, and add human review steps in Go.
Why use it?
It helps you work with the Eino framework without having to piece together its setup and patterns yourself.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents.

Good fit Use it to build agents, connect tools, create workflows, stream responses, and add human review steps in Go.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/fanqingxuan/awesome-skills/eino
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.

Any agent
npx skills add fanqingxuan/awesome-skills --skill eino
Clone the repo
git clone --depth 1 https://github.com/fanqingxuan/awesome-skills

Made for: Claude Code, Codex.

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 eino

README.md
[![agentmods](https://agentmods.dev/badge/skills/fanqingxuan/awesome-skills/eino/github.svg)](https://agentmods.dev/skills/fanqingxuan/awesome-skills/eino)
Your own site
<a href="https://agentmods.dev/skills/fanqingxuan/awesome-skills/eino"><img src="https://agentmods.dev/badge/skills/fanqingxuan/awesome-skills/eino/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.

agentmods 80×15 button for eino

Your own site · 80×15
<a href="https://agentmods.dev/skills/fanqingxuan/awesome-skills/eino"><img src="https://agentmods.dev/badge/skills/fanqingxuan/awesome-skills/eino.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 126 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,470 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00126 $0.05470
Opus 5 $0.00063 $0.02735
Sonnet 5 $0.00025 $0.01094
Haiku 4.5 $0.00013 $0.00547

Measured 12d ago against content hash ec4e3ef33628, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

eino 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 12d 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.

skills/eino/SKILL.md · 773 lines

How it starts

The opening of the file, as written. The whole thing — 773 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Eino 框架开发指南

Eino 是字节跳动开源的 Golang LLM/AI 应用开发框架,专注于 Agent 开发、工作流编排、工具调用。

环境要求

  • Go 版本: 1.18+
  • 代码规范: golangci-lint

快速开始

安装

go get github.com/cloudwego/eino
go get github.com/cloudwego/eino-ext

项目初始化

# 创建项目
mkdir my-eino-app && cd my-eino-app
go mod init my-eino-app

# 安装依赖
go get github.com/cloudwego/eino
go get github.com/cloudwego/eino-ext/components/model/openai

核心示例

1. ChatModelAgent(基础 Agent)

最简单的对话 Agent:

package main

import (
    "context"
    "fmt"
    "os"

    "github.com/cloudwego/eino-ext/components/model/openai"
    "github.com/cloudwego/eino/adk"
)

func main() {
    ctx := context.Background()

    // 配置 ChatModel
    chatModel, err := openai.NewChatModel(ctx, &openai.ChatModelConfig{
        Model:  "gpt-4o",
        APIKey: os.Getenv("OPENAI_API_KEY"),
    })
    if err != nil {
        panic(err)
    }

    // 创建 Agent
    agent, err := adk.NewChatModelAgent(ctx, &adk.ChatModelAgentConfig{
        Model: chatModel,
    })
    if err != nil {
        panic(err)
    }

    // 运行 Agent
    runner := adk.NewRunner(ctx, adk.RunnerConfig{Agent: agent})
    iter := runner.Query(ctx, "Hello, who are you?")

    for {
        event, ok := iter.Next()
        if !ok {
            break
        }
        fmt.Println(event.Message.Content)
    }
}

2. 带工具的 Agent

添加工具调用能力:

package main

import (
    "context"
    "fmt"
    "os"

    "github.com/cloudwego/eino-ext/components/model/openai"
    "github.com/cloudwego/eino/adk"
    "github.com/cloudwego/eino/compose"
    "github.com/cloudwego/eino/components/tool"
)

// 定义天气工具
type WeatherTool struct{}

func (w *WeatherTool) Info(ctx context.Context) (*tool.Info, error) {
    return &tool.Info{
        Name: "get_weather",
        Desc: "Get current weather for a location",
        ParamsOneOf: tool.NewParamsOneOfByParams(
            map[string]*tool.ParameterInfo{
                "location": {
                    Type: "string",
                    Desc: "City name",
                    Required: true,
                },
            },
        ),
    }, nil
}

func (w *WeatherTool) InvokableRun(ctx context.Context, argumentsInJSON string) (string, error) {
    // 实际应该调用天气 API
    return fmt.Sprintf("Weather in %s: Sunny, 25°C", argumentsInJSON), nil
}

func main() {
    ctx := context.Background()

    chatModel, _ := openai.NewChatModel(ctx, &openai.ChatModelConfig{
        Model:  "gpt-4o",
        APIKey: os.Getenv("OPENAI_API_KEY"),
    })

    // 创建工具
    weatherTool := &WeatherTool{}

    // 创建带工具的 Agent
    agent, _ := adk.NewChatModelAgent(ctx, &adk.ChatModelAgentConfig{
        Model: chatModel,
        ToolsConfig: adk.ToolsConfig{
            ToolsNodeConfig: compose.ToolsNodeConfig{
                Tools: []tool.BaseTool{weatherTool},
            },
        },
    })

    runner := adk.NewRunner(ctx, adk.RunnerConfig{Agent: agent})
    iter := runner.Query(ctx, "What's the weather in Beijing?")

    for {
        event, ok := iter.Next()
        if !ok {
            break
        }
        fmt.Println(event.Message.Content)
    }
}

Read the full file on GitHub · 773 lines

Files

What ships with it

60 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 12d ago First seen · 773 lines · 126 tokens per session scan A ec4e3ef33628

Subscribe to this mod's changes

eino is a skill published in the GitHub repository fanqingxuan/awesome-skills (27 stars, last pushed 4mo ago), licensed MIT. It adds 126 tokens to every session and 5,470 once invoked, about $0.0006 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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