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SKILL verified MIT Self-run

Image2

skill-albert-lsk-alskai-image2-alskai-image2 · by Albert-Lsk

Generate images using OpenAI's gpt-image-2 model. MUST trigger when (a) the user invokes the `/image2` slash command, or (b) the user's message begins with the literal token "image2" (case-insensitive) followed by a prompt describing the desired image. Examples that SHOULD trigger this skill: "/image2 a cyberpunk cat", "image2 荷兰橙色的黑胶唱片机", "IMAGE2 poster design --size 1024x1536", "/Image2 sunset…

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Install

$ agentstack add skill-albert-lsk-alskai-image2-alskai-image2

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets Used
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
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5mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

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About

image2 — OpenAI gpt-image-2 图像生成

执行步骤

Step 1: 解析输入

从用户消息中提取 prompt。处理规则:

  1. 去掉开头的 /image2 image2 (case-insensitive)
  2. 从尾部识别并剥离以下 flag(其余部分即为 prompt):
  • --size — 尺寸,允许值 1024x1024 / 1536x1024 / 1024x1536
  • --n — 生成张数
  • --quality — 质量档
  1. 如果用户只输入了 /image2image2 而没有 prompt,不要调用脚本,直接询问"你想生成什么内容的图片?"

Step 2: 调用脚本

使用 Bash 工具执行:

python "${CLAUDE_PROJECT_DIR:-.}/.claude/skills/image2/scripts/generate.py" \
  --prompt "" \
  [--size ] [--n ] [--quality ]

说明:

  • 路径中的 ${CLAUDE_PROJECT_DIR:-.} 让 skill 在任意工作目录都能找到脚本;如果 Claude Code 没有注入此变量,默认从当前目录查找
  • 只传递用户实际指定的 flag,其余让脚本使用默认值
  • 不要 把 API key 作为参数传给脚本,脚本自己会从环境或 .env 读取

Step 3: 展示结果

脚本成功时会在 stdout 打印每张图片的绝对路径,每行一个。拿到路径后:

  1. 用 Markdown 图片语法展示给用户: ``
  2. 在图片下方简短告知保存位置,例如:"已保存到 ./image2_outputs/,共 2 张。"
  3. 不要 重复复述用户的 prompt,也不要加多余的说明文字

脚本失败时(非 0 退出码),把 stderr 的错误信息原样转达给用户,并给出具体的排查建议(参见 README 的故障排查章节)。

约束

  • 这个 skill 只负责生图,不处理图生图/图像编辑/图像分析。如果用户要求这些,礼貌说明本 skill 不支持,并建议他们直接调用 OpenAI 的 /v1/images/edits 端点或使用其他工具。
  • 不要在用户没有明确要求时,擅自修改或"优化"用户的 prompt。ALSKai 的原则是让用户控制创作,skill 只做执行。
  • 如果用户同时指定了超出支持范围的参数(例如 --size 2048x2048),提示正确的允许值,不要静默回退。

上下文

  • 默认输出目录: ./image2_outputs/(相对于 Claude Code 当前工作目录)
  • API key 来源优先级: 环境变量 OPENAI_API_KEY > skill 目录下的 .env 文件
  • 该 skill 的完整使用文档在 ./README.md

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.