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antigravity-manager反重力经理

Agent Skill

antigravity-manager 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

27,456

周安装

1,073

GitHub Stars

39

下载量

8,888
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:antigravity-manager(反重力经理)
来源仓库:https://github.com/aradotso/trending-skills
仓库路径:skills/antigravity-manager
安装命令:
npx skills add https://github.com/aradotso/trending-skills --skill antigravity-manager
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 antigravity-manager

简介

用于查找、检索和筛选相关信息,提升内容定位效率。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词或任务场景快速获取候选结果。
  • 主要功能是将 Google 与 Anthropic 的会话令牌转换为标准 API 端点,支持多账户轮换。
  • 安装命令为 npx skills add https://github.com/aradotso/trending-skills --skill antigravity-manager。
  • 使用前需确认权限范围及是否涉及敏感凭证管理与网络请求。

SKILL.md

Antigravity Manager

Skill by ara.so — Daily 2026 Skills collection.

Antigravity Manager is a professional AI account manager and proxy gateway. It takes Google (Gemini) and Anthropic (Claude) web session tokens and exposes them as standard API endpoints (OpenAI-compatible, Anthropic-native, and Gemini-native formats) with intelligent multi-account rotation, quota tracking, and automatic failover.

Key capabilities:

  • Multi-account management with real-time quota dashboards
  • Protocol conversion: web sessions → OpenAI / Anthropic / Gemini API
  • Auto-rotation on 429/401 errors (millisecond failover)
  • Model routing and remapping
  • Desktop app (Tauri v2 + React + Rust) or headless Docker/server mode

Installation

Option A: One-line script (Linux/macOS)

curl -fsSL https://raw.githubusercontent.com/lbjlaq/Antigravity-Manager/v4.1.30/install.sh | bash

Install a specific version:

curl -fsSL https://raw.githubusercontent.com/lbjlaq/Antigravity-Manager/v4.1.30/install.sh | bash -s -- --version 4.1.30

Dry run (preview without installing):

curl -fsSL https://raw.githubusercontent.com/lbjlaq/Antigravity-Manager/v4.1.30/install.sh | bash -s -- --dry-run

Option B: Windows (PowerShell)

irm https://raw.githubusercontent.com/lbjlaq/Antigravity-Manager/main/install.ps1 | iex

Option C: Homebrew (macOS / Linuxbrew)

brew tap lbjlaq/antigravity-manager https://github.com/lbjlaq/Antigravity-Manager
brew install --cask antigravity-tools

Option D: Docker (recommended for servers/NAS)

docker run -d --name antigravity-manager \
  -p 8045:8045 \
  -e API_KEY=$ANTIGRAVITY_API_KEY \
  -e WEB_PASSWORD=$ANTIGRAVITY_WEB_PASSWORD \
  -e ABV_MAX_BODY_SIZE=104857600 \
  -v ~/.antigravity_tools:/root/.antigravity_tools \
  lbjlaq/antigravity-manager:latest

Docker Compose:

# docker-compose.yml
version: "3.8"
services:
  antigravity:
    image: lbjlaq/antigravity-manager:latest
    container_name: antigravity-manager
    restart: unless-stopped
    ports:
      - "8045:8045"
    environment:
      - API_KEY=${ANTIGRAVITY_API_KEY}
      - WEB_PASSWORD=${ANTIGRAVITY_WEB_PASSWORD}
      - ABV_MAX_BODY_SIZE=104857600
    volumes:
      - ~/.antigravity_tools:/root/.antigravity_tools
docker compose up -d
docker logs antigravity-manager          # view logs / recover forgotten keys

Option E: Manual download

Download from GitHub Releases:

  • macOS: .dmg (Apple Silicon + Intel)
  • Windows: .msi or portable .zip
  • Linux: .deb, .rpm, or .AppImage

Authentication / Security Model

Antigravity uses two separate credentials:

CredentialEnv varConfig keyPurpose
API KeyAPI_KEYapi_keyAuthenticates AI API calls (Authorization: Bearer...)
Web PasswordWEB_PASSWORDadmin_passwordLogs into the management web UI

Scenario A — only API_KEY set:

  • Web UI login: use API_KEY
  • API calls: use API_KEY

Scenario B — both set (recommended):

  • Web UI login: WEB_PASSWORD only (API Key rejected for login)
  • API calls: API_KEY only

Recover credentials:

docker logs antigravity-manager
# or
grep -E '"api_key"|"admin_password"' ~/.antigravity_tools/gui_config.json

API Endpoints

The proxy server runs on port 8045 by default.

OpenAI-compatible (works with any OpenAI SDK)

POST http://localhost:8045/v1/chat/completions
Authorization: Bearer $ANTIGRAVITY_API_KEY

Anthropic-native (Claude Code, etc.)

POST http://localhost:8045/v1/messages
Authorization: Bearer $ANTIGRAVITY_API_KEY

Gemini-native

POST http://localhost:8045/v1/models/{model}:generateContent
Authorization: Bearer $ANTIGRAVITY_API_KEY

Code Examples

Python — OpenAI SDK (Gemini via Antigravity)

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["ANTIGRAVITY_API_KEY"],
    base_url="http://localhost:8045/v1",
)

response = client.chat.completions.create(
    model="gemini-2.5-pro",
    messages=[
        {"role": "user", "content": "Explain quantum entanglement in simple terms."}
    ],
    stream=True,
)

for chunk in response:
    if chunk.choices[0].delta.content:
        print(chunk.choices[0].delta.content, end="", flush=True)

Python — Anthropic SDK (Claude via Antigravity)

import os
import anthropic

client = anthropic.Anthropic(
    api_key=os.environ["ANTIGRAVITY_API_KEY"],
    base_url="http://localhost:8045",
)

message = client.messages.create(
    model="claude-sonnet-4-5",
    max_tokens=1024,
    messages=[
        {"role": "user", "content": "Write a haiku about distributed systems."}
    ],
)
print(message.content[0].text)

Python — Streaming with Anthropic

import os
import anthropic

client = anthropic.Anthropic(
    api_key=os.environ["ANTIGRAVITY_API_KEY"],
    base_url="http://localhost:8045",
)

with client.messages.stream(
    model="claude-opus-4-5",
    max_tokens=2048,
    system="You are a helpful coding assistant.",
    messages=[{"role": "user", "content": "Implement a binary search in Rust."}],
) as stream:
    for text in stream.text_stream:
        print(text, end="", flush=True)

TypeScript / Node — OpenAI SDK

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.ANTIGRAVITY_API_KEY!,
  baseURL: "http://localhost:8045/v1",
});

async function chat(prompt: string): Promise<string> {
  const response = await client.chat.completions.create({
    model: "gemini-2.5-flash",
    messages: [{ role: "user", content: prompt }],
  });
  return response.choices[0].message.content ?? "";
}

// Image generation via Imagen 3
async function generateImage(prompt: string) {
  const response = await client.images.generate({
    model: "imagen-3.0-generate-002",
    prompt,
    size: "1024x1024",  // maps to Imagen 3 aspect ratio
    n: 1,
  });
  return response.data[0].url;
}

cURL — quick test

# Test OpenAI-compatible endpoint
curl -s http://localhost:8045/v1/chat/completions \
  -H "Authorization: Bearer $ANTIGRAVITY_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gemini-2.5-pro",
    "messages": [{"role": "user", "content": "Hello!"}]
  }' | jq '.choices[0].message.content'

# Test Anthropic endpoint
curl -s http://localhost:8045/v1/messages \
  -H "Authorization: Bearer $ANTIGRAVITY_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "claude-sonnet-4-5",
    "max_tokens": 256,
    "messages": [{"role": "user", "content": "Hello!"}]
  }' | jq '.content[0].text'

Connecting Claude Code CLI

Claude Code uses the Anthropic protocol. Point it at Antigravity:

# Set environment variables before starting Claude Code
export ANTHROPIC_API_KEY=$ANTIGRAVITY_API_KEY
export ANTHROPIC_BASE_URL=http://localhost:8045

claude  # start Claude Code — it will use Antigravity as the backend

Or create a .env in your project root:

# .env
ANTHROPIC_API_KEY=your-antigravity-api-key
ANTHROPIC_BASE_URL=http://localhost:8045

Connecting to Popular AI Clients

Cherry Studio

  1. Open Cherry Studio → Settings → API Provider
  2. Select OpenAI-compatible
  3. Base URL: http://localhost:8045/v1
  4. API Key: your ANTIGRAVITY_API_KEY

Cursor

In Cursor settings, set:

  • OpenAI Base URL: http://localhost:8045/v1
  • API Key: your ANTIGRAVITY_API_KEY

Continue.dev

// ~/.continue/config.json
{
  "models": [
    {
      "title": "Gemini Pro (Antigravity)",
      "provider": "openai",
      "model": "gemini-2.5-pro",
      "apiKey": "YOUR_ANTIGRAVITY_API_KEY",
      "apiBase": "http://localhost:8045/v1"
    },
    {
      "title": "Claude (Antigravity)",
      "provider": "anthropic",
      "model": "claude-sonnet-4-5",
      "apiKey": "YOUR_ANTIGRAVITY_API_KEY",
      "apiBase": "http://localhost:8045"
    }
  ]
}

Configuration File

Config is stored at ~/.antigravity_tools/gui_config.json:

{
  "api_key": "sk-your-api-key",
  "admin_password": "your-web-ui-password",
  "proxy": {
    "port": 8045,
    "max_body_size": 104857600,
    "admin_password": "your-web-ui-password"
  },
  "model_routes": [
    {
      "pattern": "gpt-4.*",
      "target": "gemini-2.5-pro"
    },
    {
      "pattern": "gpt-3.5.*",
      "target": "gemini-2.5-flash"
    }
  ]
}

Environment Variables (Docker / server mode)

VariableDescriptionDefault
API_KEYAPI key for authenticating proxy requestsrequired
WEB_PASSWORDWeb UI admin passwordfalls back to API_KEY
ABV_MAX_BODY_SIZEMax request body in bytes (for image uploads)104857600 (100MB)

Model Routing

Antigravity's model router lets you remap incoming model names to actual upstream models. This is useful when clients hard-code model names like gpt-4.

Configuration via Web UI (API Proxy → Model Router) or gui_config.json:

{
  "model_routes": [
    {
      "pattern": "gpt-4-turbo",
      "target": "gemini-2.5-pro"
    },
    {
      "pattern": "gpt-4o",
      "target": "gemini-2.5-pro"
    },
    {
      "pattern": "gpt-3\\.5.*",
      "target": "gemini-2.5-flash"
    },
    {
      "pattern": "claude-3-opus.*",
      "target": "claude-opus-4-5"
    }
  ]
}

Tiered routing (automatic): Antigravity prioritizes accounts by type (Ultra → Pro → Free) and quota reset frequency, consuming fast-reset accounts first.

Background task demotion (automatic): Requests detected as background tasks (e.g., Claude CLI title generation) are automatically redirected to Flash-tier models to preserve premium quota.


Account Management

Adding accounts via the UI

  1. Open Antigravity Manager desktop app or web UI (http://localhost:8045)
  2. Navigate to Accounts
  3. Click Add Account — the app generates an OAuth 2.0 authorization URL
  4. Complete authorization in any browser
  5. The app captures the callback automatically; click "I've authorized, continue" if needed

Batch import (JSON)

Export from another tool and import in the Accounts page:

[
  {
    "token": "session-token-1",
    "type": "google",
    "label": "account-work"
  },
  {
    "token": "session-token-2",
    "type": "anthropic",
    "label": "account-personal"
  }
]

Migration from v1

Antigravity auto-detects and migrates v1 database format on first launch — no manual steps needed.


Quota Monitoring

The dashboard shows live quota across all accounts:

  • Gemini Pro remaining calls (average across accounts)
  • Gemini Flash remaining calls
  • Claude remaining calls
  • Imagen 3 image generation quota

Smart Recommendation: The dashboard algorithmically selects the account with the most headroom and offers one-click switching.

403 detection: Accounts banned upstream are automatically flagged and skipped during rotation.


Building from Source (Rust + Tauri v2)

Prerequisites

# Rust
curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh

# Node.js (for frontend)
node --version  # requires v18+

# Tauri v2 CLI
cargo install tauri-cli --version "^2"

# System deps (Linux)
sudo apt install libwebkit2gtk-4.1-dev libayatana-appindicator3-dev librsvg2-dev

Build & run

git clone https://github.com/lbjlaq/Antigravity-Manager.git
cd Antigravity-Manager

npm install          # install frontend deps
cargo tauri dev      # run in development mode
cargo tauri build    # build release binaries → src-tauri/target/release/bundle/

Build headless server only (no GUI)

cd src-tauri
cargo build --release --features headless
./target/release/antigravity-manager --headless --port 8045

Troubleshooting

Port 8045 already in use

# Find and kill the process
lsof -ti:8045 | xargs kill -9
# or change port in gui_config.json:
# "proxy": { "port": 8046 }

Forgotten API key or web password

# Docker
docker logs antigravity-manager | grep -E "api_key|password"

# Local install
cat ~/.antigravity_tools/gui_config.json | grep -E '"api_key"|"admin_password"'

Account shows 403 / banned

The account has been flagged upstream. In the Accounts view it will be marked with a 403 badge and automatically skipped. Add a fresh account and remove/re-authorize the banned one.

Requests failing with 429

Antigravity handles this automatically (rotates to next account within milliseconds). If all accounts are exhausted, add more accounts or wait for quota reset. Check the dashboard for per-account quota status.

macOS Gatekeeper blocking the app

xattr -d com.apple.quarantine /Applications/Antigravity\ Tools.app
# or install with:
brew install --cask antigravity-tools --no-quarantine

Docker container not persisting accounts after restart

Ensure the volume mount is correct:

docker run ... -v ~/.antigravity_tools:/root/.antigravity_tools ...
# Verify data is present:
ls ~/.antigravity_tools/

Claude Code not connecting

# Verify the proxy is running
curl -s http://localhost:8045/v1/models \
  -H "Authorization: Bearer $ANTIGRAVITY_API_KEY"

# Check env vars are exported (not just set)
export ANTHROPIC_BASE_URL=http://localhost:8045
export ANTHROPIC_API_KEY=$ANTIGRAVITY_API_KEY
echo $ANTHROPIC_BASE_URL  # should print the URL

Project Structure (for contributors)

Antigravity-Manager/
├── src/                    # React frontend (TypeScript)
│   ├── components/         # UI components (Dashboard, Accounts, etc.)
│   └── pages/
├── src-tauri/              # Rust backend
│   ├── src/
│   │   ├── main.rs         # Tauri app entry
│   │   ├── proxy/          # Axum HTTP proxy server
│   │   │   ├── router.rs   # Model routing logic
│   │   │   ├── dispatcher.rs # Account rotation
│   │   │   └── mapper.rs   # Protocol conversion
│   │   ├── accounts/       # Account storage & OAuth
│   │   └── quota/          # Quota tracking
│   └── Cargo.toml
├── docker/
│   └── Dockerfile
├── install.sh              # Linux/macOS installer
├── install.ps1             # Windows installer
└── docker-compose.yml

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

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

39.75%
按下载量换算3,533

Claude

28.93%
按下载量换算2,571

Cursor

19.69%
按下载量换算1,750

Gemini CLI

9.48%
按下载量换算843

安全审计

Gen Agent Trust Hub

未通过

Socket

可疑

Snyk

未通过

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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