/install autogenimageskill
autoGenImageSkill
Overview
Use this OpenClaw skill to generate PNG images with the local gpt_image relay pattern: a Responses API request uses text model gpt-5.4 plus an image_generation tool using gpt-image-2, then writes the returned base64 image to disk. The bundled CLI exposes three access paths so agents can pick the right entry without rewriting fetch/SSE/image decoding logic.
The main script is scripts/gpt_image_cli.js. Run it with Node 18+. In OpenClaw, reference it as {baseDir}/scripts/gpt_image_cli.js so the command works wherever the skill folder is located.
External pages:
- ClawHub / OpenClaw:
https://clawhub.ai/Etherstrings/autogenimageskill - Hermes Agent GitHub skill source:
https://github.com/Etherstrings/autoGenImageSkill/tree/main/autoGenImageSkill
赞助支持
- 爱发电:
https://ifdian.net/a/etherstrings - GitHub donate section:
https://github.com/Etherstrings/autoGenImageSkill#donate
Alipay:

WeChat Pay:

Access Choice
- Use
officialwhen the user provides an official OpenAI permission code/API key or explicitly wants the official API path. - Use
proxywhen the user provides a custombase_url, proxy endpoint, provider name, or third-party Responses-compatible API key. - Use
reservedwhen the user wants to use the creator's reserved capacity, purchase/redeem a key, check quota, or call the relay service that exposes/api/session,/api/keys, and/api/generate/jobs.
Do not echo API keys, permission codes, purchase keys, or provider tokens back to the user. Use environment variables or shell variables in examples.
Quick Commands
Official API key / permission code:
node {baseDir}/scripts/gpt_image_cli.js generate \
--mode official \
--permission-code "$OPENAI_API_KEY" \
--prompt "一张电影感的雨夜赛博城市街景" \
--output output/cyber-rain.png
Custom proxy:
node {baseDir}/scripts/gpt_image_cli.js generate \
--mode proxy \
--base-url "$GPT_IMAGE_BASE_URL" \
--api-key "$GPT_IMAGE_API_KEY" \
--prompt "透明背景的可爱机器人贴纸" \
--size 1024x1024 \
--output output/robot-sticker.png
Reserved purchased capacity:
node {baseDir}/scripts/gpt_image_cli.js generate \
--mode reserved \
--service-url "$GPT_IMAGE_RELAY_URL" \
--purchase-key "$GPT_IMAGE_PURCHASE_KEY" \
--prompt "国风水墨质感的未来城市海报" \
--output output/ink-future-city.png
Image-to-image:
node {baseDir}/scripts/gpt_image_cli.js generate \
--mode proxy \
--base-url "$GPT_IMAGE_BASE_URL" \
--api-key "$GPT_IMAGE_API_KEY" \
--prompt "保持人物姿势,改成高端杂志封面摄影" \
--image /absolute/path/reference.png \
--output output/cover.png
Reserved Flow
For reserved capacity, create or reuse a session before generation when the user wants account persistence:
node {baseDir}/scripts/gpt_image_cli.js session \
--service-url "$GPT_IMAGE_RELAY_URL" \
--profile-name "demo-user" \
--save-session
Redeem a purchase key without generating:
node {baseDir}/scripts/gpt_image_cli.js redeem \
--service-url "$GPT_IMAGE_RELAY_URL" \
--purchase-key "$GPT_IMAGE_PURCHASE_KEY" \
--user-id "$GPT_IMAGE_USER_ID"
Check quota:
node {baseDir}/scripts/gpt_image_cli.js quota \
--service-url "$GPT_IMAGE_RELAY_URL" \
--user-id "$GPT_IMAGE_USER_ID"
References
- Read references/access-modes.md when choosing among official, proxy, and reserved entries or when a user asks how to configure them.
- Read references/runtime.md when debugging generation, SSE parsing, relay quota, OpenClaw/Hermes packaging, or the relationship to the original
gpt_imageproject.
Output Rules
Always return the absolute output image path and the decisive metadata: access mode, endpoint or relay job ID, provider name when available, byte size, and any revised prompt returned by the model. Keep credentials redacted.
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install autogenimageskill - 安装完成后,直接呼叫该 Skill 的名称或使用
/autogenimageskill触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
autoGenImageSkill 是什么?
Use when the user wants GPT-Image-2 image generation or image-to-image through an official OpenAI permission code/API key, a custom Responses-compatible prox... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 64 次。
如何安装 autoGenImageSkill?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install autogenimageskill」即可一键安装,无需额外配置。
autoGenImageSkill 是免费的吗?
是的,autoGenImageSkill 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
autoGenImageSkill 支持哪些平台?
autoGenImageSkill 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 autoGenImageSkill?
由 Wu Bo Yu(@etherstrings)开发并维护,当前版本 v0.1.2。