Agent Skills

canghe-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.

Install

npx skills add https://github.com/freestylefly/canghe-skills --skill canghe-danger-gemini-web
SKILL.md

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.

Related skills

ai-image-generationgenmedia-labs713KGenerate and edit images on RunComfy via the `runcomfy` CLI — a smart router across the full image-model catalog: FLUX 2 (Klein 9B/4B, Pro, Dev, Flash, Turbo, Max), Google Nano Banana 2 / Pro, OpenAI GPT Image 2, ByteDance Seedream 5 / 4-5 / 4-0 and Dreamina 4-0, Alibaba Qwen Image and Z-Image Turbo, Wan 2-7. Covers both text-to-image (t2i) and image-to-image / edit (i2i) endpoints — the skill picks the right model for the user's actual intent (typography precision, photoreal portraits, sub-secoai-image-generation101-skills547KGenerate AI images with GPT-Image-2, FLUX, Gemini, Grok, Seedream, Reve and 50+ models via inference.sh CLI. Models: GPT-Image-2, FLUX Dev LoRA, FLUX.2 Klein LoRA, Gemini 3 Pro Image, Grok Imagine, Seedream 4.5, Reve, ImagineArt. Capabilities: text-to-image, image-to-image, inpainting, LoRA, image editing, upscaling, text rendering. Use for: AI art, product mockups, concept art, social media graphics, marketing visuals, illustrations. Triggers: flux, image generation, ai image, text to image, stnano-banana-2prime-skills424KGenerate images with Google Nano Banana 2 (Gemini-family flash-tier text-to-image) on RunComfy — bundled with the model's documented prompting patterns so the skill gets sharper output than naive prompting against the same model. Documents Nano Banana 2's strengths (rapid iteration, in-image typography rendering, predictable framing, optional web-grounded context), the resolution-tier pricing, the safety-tolerance dial, and when to route to Nano Banana Pro / GPT Image 2 / Flux 2 / Seedream insteimage-editprime-skills424KEdit images on RunComfy — this skill is a smart router that matches the user's intent to the right edit model in the RunComfy catalog. Picks Nano Banana Edit (batch up to 20, identity-preserving default), OpenAI GPT Image 2 Edit (multilingual in-image text rewrite, multi-ref composition, layout precision), Flux Kontext Pro (single-ref high-fidelity local edit), or Z-Image Turbo Inpaint (mask-driven precise region edit). Bundles each model's documented prompting patterns so the skill gets sharper

Search skills and MCP servers

Fuzzy search across 23,137 skills and servers