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给任何已登录 Codex CLI 的 Agent 提供本地生图能力,零私有依赖。只要用户提到生图、画图、生成图片、image
给任何已登录 Codex CLI 的 Agent 提供本地生图能力,零私有依赖。只要用户提到生图、画图、生成图片、image
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目标:把“本机已登录的 Codex OAuth 生图能力”封装成一个零私有依赖的跨 Agent Skill。
它不依赖任何私有模块;任何能执行 python3 的 Agent,只要宿主机已经装好 Codex CLI 并执行过 codex auth login,就能直接调用 scripts/codex_image.py 生图或做图像编辑。
必须同时满足:
codex auth login~/.codex/auth.json 存在且可读https://chatgpt.com/backend-api/codex/responseshttps://auth.openai.com/oauth/token如果 ~/.codex/auth.json 不存在,不要猜测或绕过。直接提示用户先运行:
codex auth login
data:image/...;base64,... 后发给 Codex Responses API~/.codex/auth.json相对路径:scripts/codex_image.py
典型调用方式:
python3 scripts/codex_image.py --prompt "极简科技感课程封面,无文字" --aspect landscape
如果 Agent 不是在 skill 根目录执行,就显式传 skill 相对路径或绝对路径,例如:
python3 .claude/skills/codex-image-gen/scripts/codex_image.py \
--prompt "商业文章封面插图,克制,干净,无文字" \
--aspect landscape \
--quality high \
--out-dir ./outputs
二选一:
--prompt "..."--prompt-file /path/to/prompt.txt--quality low|medium|high:默认 medium--aspect landscape|square|portrait:默认 square--out-dir /path/to/output-dir:默认当前目录--image /path/to/image.png:主编辑图 / 输入图--reference-image /path/to/ref.png:参考图,可重复传入--model gpt-image-2:默认 gpt-image-2python3 scripts/codex_image.py \
--prompt "蓝白配色的 AI 课程封面插图,几何感,极简,无文字" \
--aspect landscape \
--quality high \
--out-dir ./outputs
python3 scripts/codex_image.py \
--prompt-file ./prompt.txt \
--aspect portrait \
--out-dir ./outputs
python3 scripts/codex_image.py \
--prompt "把这张草图做成干净的白板商业插图风格" \
--image ./draft.png \
--reference-image ./style-ref.png \
--aspect landscape \
--out-dir ./outputs
~/.codex/auth.json 存在;不存在就停止并提示 codex auth loginpython3 scripts/codex_image.py --help 自检 CLI--aspect landscape--quality high--aspect square脚本成功时会输出 JSON:
{"success": true, "image": "/absolute/path/to/file.png"}
Agent 应返回:
明确提示:
codex auth login
说明本地登录态失效,建议重新登录:
codex auth login
说明大概率是 Cloudflare / 关键请求头 / 账号态问题。先检查:
User-Agent: codex_cli_rs/0.0.0originator: codex_cli_rsChatGPT-Account-ID说明上游 SSE 响应格式变了,或只返回了中间事件但没有可用图片字段。此时应检查 references/api-notes.md 并根据新响应结构更新脚本。
references/api-notes.mdscripts/codex_image.pyname: codex-image-gen description: 给任何已登录 Codex CLI 的 Agent 提供本地生图能力,零私有依赖。只要用户提到生图、画图、生成图片、image generation、文生图、配图、插图、封面、海报、根据 prompt 出图,或要把本机 `~/.codex/auth.json` 里的 Codex OAuth 登录态复用成可执行脚本,都应优先使用本 skill。适用于 Claude Code、Codex、OpenCode 等任何能运行 bash / python3 脚本的 Agent。 disable-model-invocation: false
---
name: codex-image-gen
description: 给任何已登录 Codex CLI 的 Agent 提供本地生图能力,零私有依赖。只要用户提到生图、画图、生成图片、image
generation、文生图、配图、插图、封面、海报、根据 prompt 出图,或要把本机 `~/.codex/auth.json` 里的 Codex
OAuth 登录态复用成可执行脚本,都应优先使用本 skill。适用于 Claude Code、Codex、OpenCode 等任何能运行 bash /
python3 脚本的 Agent。
disable-model-invocation: false
---
# Codex Image Gen
目标:把“本机已登录的 Codex OAuth 生图能力”封装成一个**零私有依赖**的跨 Agent Skill。
它不依赖任何私有模块;任何能执行 `python3` 的 Agent,只要宿主机已经装好 Codex CLI 并执行过 `codex auth login`,就能直接调用 `scripts/codex_image.py` 生图或做图像编辑。
## 前置条件
必须同时满足:
1. 本机已安装 Codex CLI
2. 已执行过 `codex auth login`
3. `~/.codex/auth.json` 存在且可读
4. 机器可访问:
- `https://chatgpt.com/backend-api/codex/responses`
- `https://auth.openai.com/oauth/token`
如果 `~/.codex/auth.json` 不存在,不要猜测或绕过。直接提示用户先运行:
```bash
codex auth login
```
## 这个 skill 能做什么
- 文生图
- 配图 / 插图 / 封面图生成
- image-to-image / 编辑
- 把本地参考图编码成 `data:image/...;base64,...` 后发给 Codex Responses API
- 自动检查 access token 是否过期
- access token 过期时自动用 refresh token 刷新,并写回 `~/.codex/auth.json`
- 从 SSE 流里提取图片 base64,保存为本地 PNG
## 核心脚本
相对路径:`scripts/codex_image.py`
典型调用方式:
```bash
python3 scripts/codex_image.py --prompt "极简科技感课程封面,无文字" --aspect landscape
```
如果 Agent 不是在 skill 根目录执行,就显式传 skill 相对路径或绝对路径,例如:
```bash
python3 .claude/skills/codex-image-gen/scripts/codex_image.py \
--prompt "商业文章封面插图,克制,干净,无文字" \
--aspect landscape \
--quality high \
--out-dir ./outputs
```
## CLI 参数
### 必填
二选一:
- `--prompt "..."`
- `--prompt-file /path/to/prompt.txt`
### 可选
- `--quality low|medium|high`:默认 `medium`
- `--aspect landscape|square|portrait`:默认 `square`
- `--out-dir /path/to/output-dir`:默认当前目录
- `--image /path/to/image.png`:主编辑图 / 输入图
- `--reference-image /path/to/ref.png`:参考图,可重复传入
- `--model gpt-image-2`:默认 `gpt-image-2`
## 推荐工作方式
### 1) 最短路径:文生图
```bash
python3 scripts/codex_image.py \
--prompt "蓝白配色的 AI 课程封面插图,几何感,极简,无文字" \
--aspect landscape \
--quality high \
--out-dir ./outputs
```
### 2) 用 prompt 文件
```bash
python3 scripts/codex_image.py \
--prompt-file ./prompt.txt \
--aspect portrait \
--out-dir ./outputs
```
### 3) image-to-image / 编辑
```bash
python3 scripts/codex_image.py \
--prompt "把这张草图做成干净的白板商业插图风格" \
--image ./draft.png \
--reference-image ./style-ref.png \
--aspect landscape \
--out-dir ./outputs
```
## Agent 执行规则
1. 先确认 `~/.codex/auth.json` 存在;不存在就停止并提示 `codex auth login`
2. 优先直接跑 `python3 scripts/codex_image.py --help` 自检 CLI
3. 真正执行时,给出明确 prompt,不要只传关键词
4. 如果用户要封面/配图,默认优先:
- `--aspect landscape`
- `--quality high`
5. 如果用户要头像、图标、方图,默认优先:
- `--aspect square`
6. 如果返回 401,直接提示重新登录 Codex
7. 如果返回 403,优先怀疑 Cloudflare / 请求头不完整 / 登录态异常,不要误判成 prompt 问题
## 成功输出约定
脚本成功时会输出 JSON:
```json
{"success": true, "image": "/absolute/path/to/file.png"}
```
Agent 应返回:
- 最终图片路径
- 使用的 prompt(必要时可简述)
- 是否用了输入图 / 参考图
## 失败处理
### auth.json 不存在
明确提示:
```bash
codex auth login
```
### 401 Unauthorized
说明本地登录态失效,建议重新登录:
```bash
codex auth login
```
### 403 Forbidden
说明大概率是 Cloudflare / 关键请求头 / 账号态问题。先检查:
- `User-Agent: codex_cli_rs/0.0.0`
- `originator: codex_cli_rs`
- `ChatGPT-Account-ID`
### 没拿到图片数据
说明上游 SSE 响应格式变了,或只返回了中间事件但没有可用图片字段。此时应检查 `references/api-notes.md` 并根据新响应结构更新脚本。
## 参考文档
- API 细节:`references/api-notes.md`
- 核心脚本:`scripts/codex_image.py`
Skill source recorded
Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.
Review before install: Avoid automatic install
License: MIT
Listed tools are metadata hints, not tested compatibility. Agent prompts are suggested handoffs.
Check the source for dependencies, API keys and third-party costs. A public repository does not mean every service is free.
Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.
Version reported in registry metadata; check source releases before relying on it.
Quality
75/100
Strong
Trust
64/100
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
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Audit
80/100
Needs review
Copies are not installs. Installation counts require a reported successful installation; they are not a blanket quality guarantee.