baoyu-danger-gemini-web
Generates images and text via reverse-engineered Gemini Web API. Supports text generation, image generation from prompts, reference images for vision input, and multi-turn conversations. Use when other skills need image generation backend, or when user requests "generate image with Gemini", "Gemini text generation", or needs vision-capable AI generation.
Best use case
baoyu-danger-gemini-web is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Generates images and text via reverse-engineered Gemini Web API. Supports text generation, image generation from prompts, reference images for vision input, and multi-turn conversations. Use when other skills need image generation backend, or when user requests "generate image with Gemini", "Gemini text generation", or needs vision-capable AI generation.
Teams using baoyu-danger-gemini-web should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/baoyu-danger-gemini-web/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How baoyu-danger-gemini-web Compares
| Feature / Agent | baoyu-danger-gemini-web | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Generates images and text via reverse-engineered Gemini Web API. Supports text generation, image generation from prompts, reference images for vision input, and multi-turn conversations. Use when other skills need image generation backend, or when user requests "generate image with Gemini", "Gemini text generation", or needs vision-capable AI generation.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Gemini Web Client
Text/image generation via Gemini Web API. Supports reference images and multi-turn conversations.
## 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) |
## Consent Check (REQUIRED)
Before first use, verify user consent for reverse-engineered API usage.
**Consent file locations**:
- macOS: `~/Library/Application Support/baoyu-skills/gemini-web/consent.json`
- Linux: `~/.local/share/baoyu-skills/gemini-web/consent.json`
- Windows: `%APPDATA%\baoyu-skills\gemini-web\consent.json`
**Flow**:
1. Check if consent file exists with `accepted: true` and `disclaimerVersion: "1.0"`
2. If valid consent exists → print warning with `acceptedAt` date, proceed
3. If no consent → show disclaimer, ask user via `AskUserQuestion`:
- "Yes, I accept" → create consent file with ISO timestamp, proceed
- "No, I decline" → output decline message, stop
4. Consent file format: `{"version":1,"accepted":true,"acceptedAt":"<ISO>","disclaimerVersion":"1.0"}`
---
## Preferences (EXTEND.md)
Use Bash to check EXTEND.md existence (priority order):
```bash
# Check project-level first
test -f .baoyu-skills/baoyu-danger-gemini-web/EXTEND.md && echo "project"
# Then user-level (cross-platform: $HOME works on macOS/Linux/WSL)
test -f "$HOME/.baoyu-skills/baoyu-danger-gemini-web/EXTEND.md" && echo "user"
```
┌──────────────────────────────────────────────────────────┬───────────────────┐
│ Path │ Location │
├──────────────────────────────────────────────────────────┼───────────────────┤
│ .baoyu-skills/baoyu-danger-gemini-web/EXTEND.md │ Project directory │
├──────────────────────────────────────────────────────────┼───────────────────┤
│ $HOME/.baoyu-skills/baoyu-danger-gemini-web/EXTEND.md │ User home │
└──────────────────────────────────────────────────────────┴───────────────────┘
┌───────────┬───────────────────────────────────────────────────────────────────────────┐
│ Result │ Action │
├───────────┼───────────────────────────────────────────────────────────────────────────┤
│ Found │ Read, parse, apply settings │
├───────────┼───────────────────────────────────────────────────────────────────────────┤
│ Not found │ Use defaults │
└───────────┴───────────────────────────────────────────────────────────────────────────┘
**EXTEND.md Supports**: Default model | Proxy settings | Custom data directory
## Usage
```bash
# Text generation
npx -y bun ${SKILL_DIR}/scripts/main.ts "Your prompt"
npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "Your prompt" --model gemini-2.5-pro
# Image generation
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
# Vision input (reference images)
npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "Describe this" --reference image.png
npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "Create variation" --reference a.png --image out.png
# Multi-turn conversation
npx -y bun ${SKILL_DIR}/scripts/main.ts "Remember: 42" --sessionId session-abc
npx -y bun ${SKILL_DIR}/scripts/main.ts "What number?" --sessionId session-abc
# JSON output
npx -y bun ${SKILL_DIR}/scripts/main.ts "Hello" --json
```
## Options
| Option | Description |
|--------|-------------|
| `--prompt`, `-p` | Prompt text |
| `--promptfiles` | Read prompt from files (concatenated) |
| `--model`, `-m` | Model: gemini-3-pro (default), gemini-2.5-pro, gemini-2.5-flash |
| `--image [path]` | Generate image (default: generated.png) |
| `--reference`, `--ref` | Reference images for vision input |
| `--sessionId` | Session ID for multi-turn conversation |
| `--list-sessions` | List saved sessions |
| `--json` | Output as JSON |
| `--login` | Refresh cookies, then exit |
| `--cookie-path` | Custom cookie file path |
| `--profile-dir` | Chrome profile directory |
## Models
| Model | Description |
|-------|-------------|
| `gemini-3-pro` | Default, latest |
| `gemini-2.5-pro` | Previous pro |
| `gemini-2.5-flash` | Fast, lightweight |
## Authentication
First run opens browser for Google auth. Cookies cached automatically.
Supported browsers (auto-detected): Chrome, Chrome Canary/Beta, Chromium, Edge.
Force refresh: `--login` flag. Override browser: `GEMINI_WEB_CHROME_PATH` env var.
## 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 |
| `HTTP_PROXY`, `HTTPS_PROXY` | Proxy for Google access (set inline with command) |
## Sessions
Session files stored in data directory under `sessions/<id>.json`.
Contains: `id`, `metadata` (Gemini chat state), `messages` array, timestamps.
## Extension Support
Custom configurations via EXTEND.md. See **Preferences** section for paths and supported options.Related Skills
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