baoyu-danger-gemini-web

Gemini Web Client

Supports:

• Text generation
• Image generation (download + save)
• Reference images for vision input (attach local images)
• Multi-turn conversations via persisted --sessionId

Script Directory

Important: All scripts are located in the scripts/ subdirectory of this skill.

Agent Execution Instructions:

1. Determine this SKILL.md file's directory path as SKILL_DIR
2. Script path = ${SKILL_DIR}/scripts/<script-name>.ts
3. Replace all ${SKILL_DIR} in this document with the actual path

Script Reference: | Script | Purpose | |--------|---------| | scripts/main.ts | CLI entry point for text/image generation | | scripts/gemini-webapi/* | TypeScript port of gemini_webapi (GeminiClient, types, utils) |

⚠️ Disclaimer (REQUIRED)

Before using this skill, the consent check MUST be performed.

Consent Check Flow

Step 1: Check consent file

# macOS
cat ~/Library/Application\ Support/baoyu-skills/gemini-web/consent.json 2>/dev/null

# Linux
cat ~/.local/share/baoyu-skills/gemini-web/consent.json 2>/dev/null

# Windows (PowerShell)
Get-Content "$env:APPDATA\baoyu-skills\gemini-web\consent.json" 2>$null

Step 2: If consent exists and accepted: true with matching disclaimerVersion: "1.0":

Print warning and proceed:

⚠️  Warning: Using reverse-engineered Gemini Web API (not official). Accepted on: <acceptedAt date>

Step 3: If consent file doesn't exist or disclaimerVersion mismatch:

Display disclaimer and ask user:

⚠️  DISCLAIMER

This tool uses a reverse-engineered Gemini Web API, NOT an official Google API.

Risks:
- May break without notice if Google changes their API
- No official support or guarantees
- Use at your own risk

Do you accept these terms and wish to continue?

Use AskUserQuestion tool with options:

• Yes, I accept - Continue and save consent
• No, I decline - Exit immediately

Step 4: On acceptance, create consent file:

# macOS
mkdir -p ~/Library/Application\ Support/baoyu-skills/gemini-web
cat > ~/Library/Application\ Support/baoyu-skills/gemini-web/consent.json << 'EOF'
{
  "version": 1,
  "accepted": true,
  "acceptedAt": "<ISO timestamp>",
  "disclaimerVersion": "1.0"
}
EOF

# Linux
mkdir -p ~/.local/share/baoyu-skills/gemini-web
cat > ~/.local/share/baoyu-skills/gemini-web/consent.json << 'EOF'
{
  "version": 1,
  "accepted": true,
  "acceptedAt": "<ISO timestamp>",
  "disclaimerVersion": "1.0"
}
EOF

Step 5: On decline, output message and stop:

User declined the disclaimer. Exiting.

Quick start

npx -y bun ${SKILL_DIR}/scripts/main.ts "Hello, Gemini"
npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "Explain quantum computing"
npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "A cute cat" --image cat.png
npx -y bun ${SKILL_DIR}/scripts/main.ts --promptfiles system.md content.md --image out.png

# Multi-turn conversation (agent generates unique sessionId)
npx -y bun ${SKILL_DIR}/scripts/main.ts "Remember this: 42" --sessionId my-unique-id-123
npx -y bun ${SKILL_DIR}/scripts/main.ts "What number?" --sessionId my-unique-id-123

Commands

Text generation

# Simple prompt (positional)
npx -y bun ${SKILL_DIR}/scripts/main.ts "Your prompt here"

# Explicit prompt flag
npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "Your prompt here"
npx -y bun ${SKILL_DIR}/scripts/main.ts -p "Your prompt here"

# With model selection
npx -y bun ${SKILL_DIR}/scripts/main.ts -p "Hello" -m gemini-2.5-pro

# Pipe from stdin
echo "Summarize this" | npx -y bun ${SKILL_DIR}/scripts/main.ts

Image generation

# Generate image with default path (./generated.png)
npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "A sunset over mountains" --image

# Generate image with custom path
npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "A cute robot" --image robot.png

# Shorthand
npx -y bun ${SKILL_DIR}/scripts/main.ts "A dragon" --image=dragon.png

Vision input (reference images)

# Text + image -> text
npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "Describe this image" --reference a.png

# Text + image -> image
npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "Generate a variation" --reference a.png --image out.png

Output formats

# Plain text (default)
npx -y bun ${SKILL_DIR}/scripts/main.ts "Hello"

# JSON output
npx -y bun ${SKILL_DIR}/scripts/main.ts "Hello" --json

Options

| Option | Description | |--------|-------------| | --prompt <text>, -p | Prompt text | | --promptfiles <files...> | Read prompt from files (concatenated in order) | | --model <id>, -m | Model: gemini-3-pro (default), gemini-2.5-pro, gemini-2.5-flash | | --image [path] | Generate image, save to path (default: generated.png) | | --reference <files...>, --ref <files...> | Reference images for vision input | | --sessionId <id> | Session ID for multi-turn conversation (agent generates unique ID) | | --list-sessions | List saved sessions (max 100, sorted by update time) | | --json | Output as JSON | | --login | Refresh cookies only, then exit | | --cookie-path <path> | Custom cookie file path | | --profile-dir <path> | Chrome profile directory | | --help, -h | Show help |

CLI note: scripts/main.ts supports text generation, image generation, reference images (--reference/--ref), and multi-turn conversations via --sessionId.

Models

• gemini-3-pro - Default, latest model
• gemini-2.5-pro - Previous generation pro
• gemini-2.5-flash - Fast, lightweight

Authentication

First run opens a browser to authenticate with Google. Cookies are cached for subsequent runs.

Supported browsers (auto-detected in order):

• Google Chrome
• Google Chrome Canary / Beta
• Chromium
• Microsoft Edge

Override with GEMINI_WEB_CHROME_PATH environment variable if needed.

# Force cookie refresh
npx -y bun ${SKILL_DIR}/scripts/main.ts --login

Environment variables

| Variable | Description | |----------|-------------| | GEMINI_WEB_DATA_DIR | Data directory | | GEMINI_WEB_COOKIE_PATH | Cookie file path | | GEMINI_WEB_CHROME_PROFILE_DIR | Chrome profile directory | | GEMINI_WEB_CHROME_PATH | Chrome executable path |

Proxy Configuration

If you need a proxy to access Google services (e.g., in China), set HTTP_PROXY and HTTPS_PROXY environment variables before running:

# Example with local proxy
HTTP_PROXY=http://127.0.0.1:7890 HTTPS_PROXY=http://127.0.0.1:7890 npx -y bun ${SKILL_DIR}/scripts/main.ts "Hello"

# Image generation with proxy
HTTP_PROXY=http://127.0.0.1:7890 HTTPS_PROXY=http://127.0.0.1:7890 npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "A cat" --image cat.png

# Cookie refresh with proxy
HTTP_PROXY=http://127.0.0.1:7890 HTTPS_PROXY=http://127.0.0.1:7890 npx -y bun ${SKILL_DIR}/scripts/main.ts --login

Note: Environment variables must be set inline with the command. Shell profile settings (e.g., .bashrc) may not be inherited by subprocesses.

Examples

Generate text response

npx -y bun ${SKILL_DIR}/scripts/main.ts "What is the capital of France?"

Generate image

npx -y bun ${SKILL_DIR}/scripts/main.ts "A photorealistic image of a golden retriever puppy" --image puppy.png

Get JSON output for parsing

npx -y bun ${SKILL_DIR}/scripts/main.ts "Hello" --json | jq '.text'

Generate image from prompt files

# Concatenate system.md + content.md as prompt
npx -y bun ${SKILL_DIR}/scripts/main.ts --promptfiles system.md content.md --image output.png

Multi-turn conversation

# Start a session with unique ID (agent generates this)
npx -y bun ${SKILL_DIR}/scripts/main.ts "You are a helpful math tutor." --sessionId task-abc123

# Continue the conversation (remembers context)
npx -y bun ${SKILL_DIR}/scripts/main.ts "What is 2+2?" --sessionId task-abc123
npx -y bun ${SKILL_DIR}/scripts/main.ts "Now multiply that by