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frouterfrouter 搜索

Agent Skill

frouter 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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

294

周安装

12

GitHub Stars

2

下载量

94
CodexClaudeCursorGemini CLI

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

unknown

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:frouter(frouter 搜索)
来源仓库:https://github.com/akillness/oh-my-gods
仓库路径:skills/frouter
安装命令:
npx skills add https://github.com/akillness/oh-my-gods --skill frouter
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/akillness/oh-my-gods --skill frouter

简介

用于查找、检索和筛选相关信息,支持关键词或任务场景快速定位结果。

  • 适合在需要根据来源线索快速获取候选信息时使用。frouter 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 可通过来源仓库和原始 README 进一步核验具体用法。
  • 安装前建议确认权限范围和维护状态,注意是否会触发联网或文件读写。
  • 建议结合具体任务场景验证其检索准确性和覆盖范围。

SKILL.md

frouter — Free AI Model Router CLI

frouter is a terminal UI that discovers, pings, and ranks free AI models from NVIDIA NIM and OpenRouter in real time — then writes the best model directly into your OpenCode or OpenClaw config.

When to use this skill

  • Select the fastest responding free LLM for your OpenCode or OpenClaw session
  • Check live availability, latency, and uptime of free models before starting work
  • Configure NVIDIA NIM / OpenRouter API keys interactively with browser auto-open
  • Non-interactively capture the best model ID in shell scripts (frouter --best)
  • Benchmark free model tiers (S+ → C based on SWE-bench Verified scores)
  • Switch models on the fly without manually editing JSON config files

Installation

# One-shot (no install)
npx frouter-cli

# Global install (recommended)
npm i -g frouter-cli
# or with bun
bun install -g frouter-cli

Instructions

Step 1: First run — API key setup wizard

frouter

On first run, the setup wizard opens provider key pages in your browser automatically. Press ESC to skip any provider you don't have a key for yet.

API key sources:

ProviderKey URLPrefix
NVIDIA NIMbuild.nvidia.com/settings/api-keysnvapi-
OpenRouteropenrouter.ai/settings/keyssk-or-

Keys are stored at ~/.frouter.json (permissions 0600).

You can also pass keys via environment variables:

NVIDIA_API_KEY=nvapi-xxx frouter
OPENROUTER_API_KEY=sk-or-xxx frouter

Step 2: Interactive TUI — select and apply a model

frouter

The TUI pings all models every 2 seconds. Use arrow keys to navigate, / to search, and Enter to apply a model to OpenCode or OpenClaw.

Key actions:

KeyAction
/ Navigate models
/Search / filter by name
EnterSelect → target picker (OpenCode / OpenClaw)
TCycle tier filter: All → S+ → S → A+ → …
AQuick API key add/change
PSettings (keys, provider toggle, live test)
09Sort by column (press again to reverse)
?Help overlay
qQuit

Target picker (after Enter):

KeyAction
Enter / GWrite config + launch the tool
SWrite config only (no launch)
ESCCancel

Configs written:

  • OpenCode CLI~/.config/opencode/opencode.json
  • OpenClaw~/.openclaw/openclaw.json

Existing configs are automatically backed up before overwriting.

Step 3: Non-interactive best-model selection (scripts)

# Print best model ID after ~10 s analysis
frouter --best

# Capture in a variable
MODEL=$(frouter --best)
echo "Best model: $MODEL"

Selection tri-key sort: status=up → lowest avg latency → highest uptime.

Step 4: Tune auto-sort behavior (optional)

# Pause auto-resorting for 2.5 s after scroll navigation
FROUTER_SCROLL_SORT_PAUSE_MS=2500 frouter

# Disable rolling metrics cache (force legacy recompute)
FROUTER_METRICS_CACHE=0 frouter

Or persist in ~/.frouter.json:

{
  "ui": { "scrollSortPauseMs": 1500 }
}

TUI columns

ColumnDescription
#Rank
TierSWE-bench score tier: S+ (≥70%) → C (<20%)
ProviderNIM or OpenRouter
ModelDisplay name
CtxContext window size
AAArena Elo / intelligence score
AvgRolling average latency (HTTP 200 only)
LatLatest measured ping latency
Up%Uptime % this session
Verdict🚀 Perfect / ✅ Normal / 🔥 Overloaded / 💀 Unusable

Examples

Example 1: Start frouter and apply a model to OpenCode

frouter
# Navigate to desired model → Enter → select OpenCode CLI → Enter

Example 2: Get best model for a script

MODEL=$(frouter --best)
opencode --model "$MODEL" "refactor this function"

Example 3: Set API key without entering TUI

NVIDIA_API_KEY=nvapi-xxx frouter --best

Example 4: Test-onboard from a clean state

# Without touching your real config
npm run test:fresh-start

Model tier scale (SWE-bench Verified)

TierScoreDescription
S+≥ 70%Elite frontier
S60–70%Excellent
A+50–60%Great
A40–50%Good
A-35–40%Decent
B+30–35%Average
B20–30%Below average
C< 20%Lightweight / edge

Best practices

  1. Set both API keys — NIM and OpenRouter have overlapping models; having both maximises coverage
  2. Use --best in scripts instead of hardcoding a model ID — model availability changes
  3. Press S to write config only when you want to set the model without launching the tool
  4. T to filter tier — if you only want S+ or S models, press T to cycle the tier filter
  5. Keep frouter updated — model catalog syncs daily via GitHub Actions; accept in-app update prompts

References

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

Codex

35.09%
按下载量换算33

Claude

28.64%
按下载量换算27

Cursor

18.36%
按下载量换算17

Gemini CLI

8.57%
按下载量换算8

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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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