canghe-danger-gemini-web

name	canghe-danger-gemini-web
description	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.

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/canghe-skills/gemini-web/consent.json
• Linux: ~/.local/share/canghe-skills/gemini-web/consent.json
• Windows: %APPDATA%\canghe-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):

# Check project-level first
test -f .canghe-skills/canghe-danger-gemini-web/EXTEND.md && echo "project"

# Then user-level (cross-platform: $HOME works on macOS/Linux/WSL)
test -f "$HOME/.canghe-skills/canghe-danger-gemini-web/EXTEND.md" && echo "user"

┌──────────────────────────────────────────────────────────┬───────────────────┐ │ Path │ Location │ ├──────────────────────────────────────────────────────────┼───────────────────┤ │ .canghe-skills/canghe-danger-gemini-web/EXTEND.md │ Project directory │ ├──────────────────────────────────────────────────────────┼───────────────────┤ │ $HOME/.canghe-skills/canghe-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

# 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.