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Agent Skill · 前端设计

freebuff2api-openai-proxy(freebuff2api OpenAI proxy 命令行)

freebuff2api-openai-proxy 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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。

freebuff2api-openai-proxy 是前端设计类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证信息还不明确,第三方扫描有未通过项,按安装量在前端设计类的 10,216 个 Skill 里排第 1,843。

总安装 3,609周安装 150GitHub Stars 39下载 1,506核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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:freebuff2api-openai-proxy(freebuff2api OpenAI proxy 命令行)
来源仓库:https://github.com/aradotso/trending-skills
仓库路径:skills/freebuff2api-openai-proxy
安装命令:
npx skills add https://github.com/aradotso/trending-skills --skill freebuff2api-openai-proxy
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/aradotso/trending-skills --skill freebuff2api-openai-proxy

这个 Skill 是做什么的

前端设计类 Skill 关注页面结构、视觉规范和组件写法,输出通常是可运行的界面代码。

freebuff2api-openai-proxy 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息。适合在代理环境中围绕仓库状态或协作事项进行整理。可在 Codex、Claude、Cursor、Gemini CLI 中使用以支持远程协作。

通过 npx skills add 命令从指定仓库安装并使用该技能。安装前需确认权限范围、维护状态及是否触发联网或文件操作。

来源仓库内路径:skills/freebuff2api-openai-proxy

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/aradotso/trending-skills --skill freebuff2api-…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

freebuff2api-openai-proxy 怎么安装?

在终端执行 npx skills add https://github.com/aradotso/trending-skills --skill freebuff2api-openai-pro…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

freebuff2api-openai-proxy 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

freebuff2api-openai-proxy 需要什么权限?

权限级别是接触敏感数据。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。

freebuff2api-openai-proxy 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

freebuff2api-openai-proxy 用的人多吗?

公开数据是累计安装 3,609 次,近一周安装 150 次,下载 1,506 次,GitHub 39 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

freebuff2api-openai-proxy 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理前端设计类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

前端设计类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
frontend-design

前端设计 · Codex、Claude

8,823,360126,072只读MIT通过
vercel-composition-patterns

Vercel 组合模式 · Codex、Claude

3,858,81625,893需要联网MIT通过
vercel-react-native-skills

Vercel React native skills 前端 · Codex、Claude

2,468,66425,878只读MIT通过
adapt

adapt 搜索 · Codex、Claude

2,027,04023,125操作浏览器未明确通过
bolder

bolder 分析 · Codex、Claude

2,004,28823,130只读未明确通过
freebuff2api-openai-proxy

freebuff2api OpenAI proxy 命令行 · 本页

3,60939接触敏感数据未明确未通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Freebuff2API OpenAI Proxy

Skill by ara.so — Daily 2026 Skills collection.

Freebuff2API is an OpenAI-compatible proxy server written in Go that translates standard OpenAI API requests into Freebuff's backend format. It enables any OpenAI-compatible client, SDK, or CLI tool to use Freebuff's free models without modification.

What It Does

  • Exposes standard OpenAI endpoints (/v1/chat/completions, etc.)
  • Dynamically randomizes client fingerprints to mimic official Freebuff SDK behavior
  • Rotates multiple auth tokens on a configurable interval
  • Routes outbound traffic through an optional HTTP proxy
  • Ships as a multi-arch Docker image for easy deployment

Getting Auth Tokens

Before deploying, obtain one or more Freebuff auth tokens:

Method 1 — Web (easiest): Visit https://freebuff.llm.pm, log in with your Freebuff account, and copy the displayed token.

Method 2 — Freebuff CLI:

npm i -g freebuff
freebuff  # follow login prompts

Token is stored at:

  • Linux/macOS: ~/.config/manicode/credentials.json
  • Windows: C:\Users\<username>\.config\manicode\credentials.json
{
  "default": {
    "authToken": "fa82b5c1-e39d-4c7a-961f-d2b3c4e5f6a7"
  }
}

Copy the authToken value — this is your AUTH_TOKENS value.

Installation & Deployment

Docker (Recommended)

# Single token
docker run -d --name freebuff2api \
  -p 8080:8080 \
  -e AUTH_TOKENS="$FREEBUFF_TOKEN" \
  ghcr.io/quorinex/freebuff2api:latest

# Multiple tokens (comma-separated for higher throughput)
docker run -d --name freebuff2api \
  -p 8080:8080 \
  -e AUTH_TOKENS="$FREEBUFF_TOKEN_1,$FREEBUFF_TOKEN_2,$FREEBUFF_TOKEN_3" \
  ghcr.io/quorinex/freebuff2api:latest

# With HTTP proxy and API key protection
docker run -d --name freebuff2api \
  -p 8080:8080 \
  -e AUTH_TOKENS="$FREEBUFF_TOKEN" \
  -e API_KEYS="$MY_PROXY_API_KEY" \
  -e HTTP_PROXY="$HTTP_PROXY_URL" \
  ghcr.io/quorinex/freebuff2api:latest

Docker Compose

# docker-compose.yml
version: "3.8"
services:
  freebuff2api:
    image: ghcr.io/quorinex/freebuff2api:latest
    container_name: freebuff2api
    restart: unless-stopped
    ports:
      - "8080:8080"
    environment:
      AUTH_TOKENS: "${FREEBUFF_TOKENS}"
      API_KEYS: "${PROXY_API_KEYS}"
      ROTATION_INTERVAL: "6h"
      REQUEST_TIMEOUT: "15m"
    # Or mount a config file:
    # volumes:
    #   - ./config.json:/app/config.json
    # command: ["-config", "/app/config.json"]
# .env file
FREEBUFF_TOKENS=token1,token2,token3
PROXY_API_KEYS=my-secret-key

Build from Source

Requirements: Go 1.23+

git clone https://github.com/Quorinex/Freebuff2API.git
cd Freebuff2API
go build -o freebuff2api .

# Run with config file
./freebuff2api -config config.json

# Run with environment variables
AUTH_TOKENS="$FREEBUFF_TOKEN" ./freebuff2api
docker build -t freebuff2api .
docker run -d -p 8080:8080 -e AUTH_TOKENS="$FREEBUFF_TOKEN" freebuff2api

Configuration

config.json

{
  "LISTEN_ADDR": ":8080",
  "UPSTREAM_BASE_URL": "https://codebuff.com",
  "AUTH_TOKENS": ["token1", "token2"],
  "ROTATION_INTERVAL": "6h",
  "REQUEST_TIMEOUT": "15m",
  "API_KEYS": ["my-proxy-api-key"],
  "HTTP_PROXY": ""
}

Configuration Reference

Key / Env VarDefaultDescription
LISTEN_ADDR:8080Proxy listen address
UPSTREAM_BASE_URLhttps://codebuff.comFreebuff backend URL
AUTH_TOKENS—Freebuff auth tokens (JSON array or comma-separated)
ROTATION_INTERVAL6hHow often to rotate tokens
REQUEST_TIMEOUT15mUpstream request timeout
API_KEYS[]Client API keys for proxy auth (empty = open access)
HTTP_PROXY""HTTP proxy for outbound requests

Note: Environment variables override JSON file values when both are set.

Using the Proxy

Once running, point any OpenAI-compatible client at http://localhost:8080:

curl

curl http://localhost:8080/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $PROXY_API_KEY" \
  -d '{
    "model": "claude-3-5-sonnet",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

If API_KEYS is empty (open access), omit the Authorization header or use any value:

curl http://localhost:8080/v1/chat/completions \
  -H "Content-Type: application/json" \
  -d '{"model": "claude-3-5-sonnet", "messages": [{"role": "user", "content": "Hello!"}]}'

Python (openai SDK)

from openai import OpenAI
import os

client = OpenAI(
    base_url="http://localhost:8080/v1",
    api_key=os.environ.get("PROXY_API_KEY", "unused"),  # any value if API_KEYS is empty
)

response = client.chat.completions.create(
    model="claude-3-5-sonnet",
    messages=[
        {"role": "system", "content": "You are a helpful assistant."},
        {"role": "user", "content": "Explain async/await in Python."},
    ],
)
print(response.choices[0].message.content)

Streaming

from openai import OpenAI
import os

client = OpenAI(
    base_url="http://localhost:8080/v1",
    api_key=os.environ.get("PROXY_API_KEY", "unused"),
)

stream = client.chat.completions.create(
    model="claude-3-5-sonnet",
    messages=[{"role": "user", "content": "Write a short poem."}],
    stream=True,
)

for chunk in stream:
    if chunk.choices[0].delta.content is not None:
        print(chunk.choices[0].delta.content, end="", flush=True)
print()

Node.js (openai SDK)

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "http://localhost:8080/v1",
  apiKey: process.env.PROXY_API_KEY ?? "unused",
});

const response = await client.chat.completions.create({
  model: "claude-3-5-sonnet",
  messages: [{ role: "user", content: "Hello from Node.js!" }],
});

console.log(response.choices[0].message.content);

LangChain (Python)

from langchain_openai import ChatOpenAI
import os

llm = ChatOpenAI(
    model="claude-3-5-sonnet",
    openai_api_base="http://localhost:8080/v1",
    openai_api_key=os.environ.get("PROXY_API_KEY", "unused"),
)

result = llm.invoke("What is the capital of France?")
print(result.content)

Common Patterns

Multi-Token Setup for Higher Throughput

Collect tokens from multiple Freebuff accounts:

# config.json approach
{
  "AUTH_TOKENS": [
    "token-account-1",
    "token-account-2",
    "token-account-3"
  ],
  "ROTATION_INTERVAL": "3h"
}

# Environment variable approach (comma-separated)
export AUTH_TOKENS="token1,token2,token3"

Securing the Proxy with API Keys

{
  "API_KEYS": ["secret-key-for-team", "another-key-for-ci"]
}

Clients must then include Authorization: Bearer secret-key-for-team.

Using with HTTP Proxy (Corporate/Regional)

{
  "HTTP_PROXY": "http://proxy.company.com:3128"
}

Or via environment:

docker run -d --name freebuff2api \
  -p 8080:8080 \
  -e AUTH_TOKENS="$FREEBUFF_TOKEN" \
  -e HTTP_PROXY="$CORPORATE_PROXY" \
  ghcr.io/quorinex/freebuff2api:latest

Health Check / Verify Running

# Check the proxy is responding
curl -s http://localhost:8080/v1/models | jq .

# Or a minimal chat request
curl -s http://localhost:8080/v1/chat/completions \
  -H "Content-Type: application/json" \
  -d '{"model":"claude-3-5-sonnet","messages":[{"role":"user","content":"ping"}]}' \
  | jq '.choices[0].message.content'

Troubleshooting

Proxy returns 401 Unauthorized

  • If API_KEYS is configured, ensure your client sends Authorization: Bearer <key> matching one of the configured keys.
  • If API_KEYS is empty [], the proxy is open — no auth header needed.

Auth token rejected / 403 from upstream

  • Token may be expired — re-fetch from https://freebuff.llm.pm or re-run freebuff CLI.
  • Check AUTH_TOKENS is set correctly (not empty, no extra whitespace).

Request timeouts

  • Increase REQUEST_TIMEOUT beyond default 15m for very long completions: {"REQUEST_TIMEOUT": "30m"}

Connection refused on localhost:8080

  • Confirm the container/process is running: docker ps or ps aux | grep freebuff2api
  • Check LISTEN_ADDR — if set to a specific interface (e.g., 127.0.0.1:8080), ensure you're connecting to the right address.
  • For Docker, verify the port mapping: -p 8080:8080

Docker container exits immediately

# Check logs
docker logs freebuff2api

# Common cause: AUTH_TOKENS not set
docker run --rm -e AUTH_TOKENS="$FREEBUFF_TOKEN" ghcr.io/quorinex/freebuff2api:latest

Multiple tokens not rotating

  • Verify tokens are comma-separated (env var) or a JSON array (config file).
  • Check ROTATION_INTERVAL is a valid Go duration string: "1h", "30m", "6h", etc.

Project Structure (Source)

Freebuff2API/
├── main.go           # Entry point, config loading, server startup
├── config.json       # Default config file (gitignored if contains secrets)
├── Dockerfile        # Multi-arch Docker build
├── go.mod / go.sum   # Go module dependencies
├── README.md
└── README_zh.md

Key CLI Flag

./freebuff2api -config /path/to/config.json

The only CLI flag is -config to specify an alternate config file path. All other configuration is via the JSON file or environment variables.

平台分布

Codex

34.04%
按下载量换算513

Claude

27.74%
按下载量换算418

Cursor

18.65%
按下载量换算281

Gemini CLI

10.01%
按下载量换算151

安全审计

Gen Agent Trust Hub

未通过

Socket

可疑

Snyk

未通过

权限和风险

接触敏感数据

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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