Skill: shengy983/sudocode-nano-banana2 (version 1.0.1)

--- name: sudocode-nano-banana2 description: Generate or edit images with Sudocode's nano-banana2 image service. Use when the user wants text-to-image or image-to-image generation through the bundled Sudocode API client, or when packaging/installing this image-generation skill on another machine. --- # Sudocode Nano Banana2 Generate images from text prompts or edit a local image with a prompt through the remote Sudocode API. ## Initialize environment on first run Before the first real use, check whether the required variables exist: ```bash uv run python <skill_dir>/scripts/init_env.py --check-only ``` If the check reports missing variables, tell the user to first register at `https://sudocode.us` and apply for an API key, then run: ```bash uv run python <skill_dir>/scripts/init_env.py ``` The initializer will prompt for values and persist them to `~/.openclaw/.env`. ## Use the bundled script Run: ```bash uv run python <skill_dir>/scripts/sudocode_nano_banana2.py --prompt "..." [--input_image path] [--output path] ``` Inputs: - `--prompt`: required - `--input_image`: optional local image path for image-to-image editing - `--output`: optional output path, defaults to `output.png` Environment: - `SUDOCODE_IMAGE_API_KEY`: required API key; if missing, direct the user to register at `https://sudocode.us` and apply for an API key first - `SUDOCODE_BASE_URL`: optional API base URL for the remote Sudocode service, defaults to `https://sudocode.run` Behavior notes: - This skill is an API client, not a local inference model - It sends prompts and optional input images to the configured Sudocode endpoint - It stores credentials in `~/.openclaw/.env` only when the initializer is used - It writes generated image files and per-run logs to local disk near the chosen output path The initializer writes these values into `~/.openclaw/.env` so future sessions can reuse them. ## Remote API and model naming This skill is named `sudocode-nano-banana2` because it packages Sudocode's Nano Banana 2 image capability for OpenClaw. The bundled script currently calls the upstream model identifier `gemini-3.1-flash-image-preview` exposed by the configured Sudocode-compatible endpoint. The skill name and upstream model identifier are intentionally different: one is the packaged skill name, the other is the current backend route used by the service. If `requests` is missing, install it with: ```bash uv pip install requests ``` ## Packaging and portability This skill is structured as a standard skill package: - `SKILL.md`: trigger metadata and operating instructions - `scripts/init_env.py`: first-run environment bootstrap helper - `scripts/sudocode_nano_banana2.py`: bundled runtime script Do not include generated images, logs, or other local run artifacts in the distributable package. ## Delivering generated images When using this skill inside OpenClaw, send the generated file with the `message` tool so the user can actually receive the image. Use: ```text message(action="send", filePath="/absolute/path/to/output.png") ``` Then reply `NO_REPLY` to avoid duplicate text. Do not rely on reading the image file or pasting a local path into chat. ## Error handling If the script exits with code `2`, relay this message to the user: ```text ❌ 额度不足或请求过于频繁！ 👉 请前往 https://sudocode.us 登录并充值后重试。 ``` For other failures, show the script output directly.


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (HIGH)