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lynkrlynkr 开发

Agent Skill

lynkr 用于补充开发相关能力,适合在 OpenClaw 中需要让 Agent 承接开发相关任务时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

2,982

周安装

123

GitHub Stars

公开资料未说明

下载量

974
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:lynkr(lynkr 开发)
来源仓库:https://github.com/vishalveerareddy123/lynkr
安装命令:
openclaw skills install lynkr
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install lynkr

简介

具备多层路由与故障转移能力的 LLM 智能代理网关。

  • 适用于高可用性要求的复杂 LLM 调用工作流管理。
  • 可根据请求复杂度动态分配不同层级处理单元。lynkr 属于开发类 Skill,可作为该场景下的辅助能力补充。
  • 需配置多个 LLM 提供商密钥以实现无缝切换。
  • 内置工作流检测机制防止无限递归与资源耗尽。

SKILL.md

name
lynkr
display_name
Lynkr AI Routing Proxy
version
0.6.0
description
Intelligent LLM routing proxy with complexity-based tier routing, agentic workflow detection, and multi-provider failover. Drop-in replacement for direct provider APIs.
author
lynkr-ai
license
MIT
tags
category
infrastructure
homepage
https://github.com/lynkr-ai/lynkr
npm
lynkr
requires
node
>=18
providers

Lynkr - Intelligent LLM Routing Proxy

Lynkr routes AI coding requests to the best available model based on task complexity, cost, and provider health. It supports 12+ providers and works as an OpenAI-compatible proxy.

Quick Start

npm install -g lynkr
lynkr --port 8081

Then point your AI coding tool at http://localhost:8081/v1.

How It Works

  1. Complexity Analysis - Scores each request 0-100 based on token count, tool usage, code patterns, and domain keywords
  2. Tier Routing - Maps score to a tier (SIMPLE/MEDIUM/COMPLEX/REASONING), each configured with a specific provider:model
  3. Agentic Detection - Detects multi-step workflows (tool loops, autonomous agents) and upgrades to higher tiers
  4. Cost Optimization - Picks the cheapest provider that can handle the tier
  5. Circuit Breaker + Failover - Automatic failover when a provider is down

Configuration for OpenClaw

Set tier routing in your environment:

MODEL_PROVIDER=ollama
TIER_SIMPLE=ollama:qwen2.5-coder:7b
TIER_MEDIUM=openrouter:anthropic/claude-sonnet-4-20250514
TIER_COMPLEX=bedrock:anthropic.claude-sonnet-4-20250514-v1:0
TIER_REASONING=bedrock:anthropic.claude-sonnet-4-20250514-v1:0

OpenClaw Mode

When running under OpenClaw, enable model name rewriting so the actual provider and model appear in responses:

OPENCLAW_MODE=true

This replaces the generic model: "auto" in responses with the actual provider/model that handled the request (e.g., ollama/qwen2.5-coder:7b or bedrock/claude-sonnet-4).

Provider Registration

Add to your openclaw.json:

{
  "models": {
    "providers": [
      {
        "name": "lynkr",
        "type": "openai-compatible",
        "base_url": "http://localhost:8081/v1",
        "api_key": "any-value",
        "models": ["auto"]
      }
    ]
  },
  "agents": {
    "defaults": {
      "models": {
        "primary": "lynkr/auto",
        "fallback": "lynkr/auto"
      }
    }
  }
}

Features

  • 12+ providers: Ollama, OpenAI, Anthropic (Azure/Bedrock/Direct), OpenRouter, Vertex, Moonshot, Z.AI, LM Studio, llama.cpp
  • Smart routing: Heuristic + optional BERT-based complexity classification
  • Tool support: Server-side tool execution with IDE-aware tool mapping (Cursor, Cline, Continue, Codex)
  • Session management: Persistent sessions with cross-request deduplication
  • Observability: Prometheus metrics, circuit breaker status, routing decision headers (X-Lynkr-*)
  • Agent-aware: X-Agent-Role header for multi-agent framework routing hints
  • Lazy tool loading: On-demand tool registration for fast startup
  • History compression: Automatic conversation trimming for long sessions

Response Headers

Every response includes routing metadata:

HeaderDescription
X-Lynkr-ProviderProvider that handled the request
X-Lynkr-ModelModel used
X-Lynkr-TierComplexity tier (SIMPLE/MEDIUM/COMPLEX/REASONING)
X-Lynkr-Complexity-ScoreNumeric score 0-100
X-Lynkr-Routing-MethodHow the route was decided
X-Lynkr-Cost-OptimizedWhether cost optimization changed the provider

适合场景

01

调用多模型

02

代码和文本生成

03

Agent 推理流程

04

OpenRouter 模型接入

能力概览

能力 1

统一调用多种 LLM

能力 2

支持 Claude、Gemini、Kimi 等模型

能力 3

适合聊天、代码和推理任务

能力 4

可作为 Agent 模型调用入口

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

87.84%
按下载量换算856

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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