Agent Skills › zerogpu/zerogpu-router › chat-gpt-5-6-luna

chat-gpt-5-6-luna

GitHub

调用 ZeroGPU API 使用 gpt-5.6-luna 模型进行聊天、编码、推理及翻译等任务。支持长上下文和结构化输出,适用于对成本敏感的高并发场景,需直接透传结果。

agents/openclaw/plugin/skills/chat-gpt-5-6-luna/SKILL.md zerogpu/zerogpu-router

Trigger Scenarios

用户请求使用特定低成本模型 需要高吞吐量或长上下文的对话处理 涉及代码生成或文本翻译的任务

Install

npx skills add zerogpu/zerogpu-router --skill chat-gpt-5-6-luna -g -y
More Options

Non-standard path

npx skills add https://github.com/zerogpu/zerogpu-router/tree/main/agents/openclaw/plugin/skills/chat-gpt-5-6-luna -g -y

Use without installing

npx skills use zerogpu/zerogpu-router@chat-gpt-5-6-luna

指定 Agent (Claude Code)

npx skills add zerogpu/zerogpu-router --skill chat-gpt-5-6-luna -a claude-code -g -y

安装 repo 全部 skill

npx skills add zerogpu/zerogpu-router --all -g -y

预览 repo 内 skill

npx skills add zerogpu/zerogpu-router --list

SKILL.md

Frontmatter
{
    "name": "chat-gpt-5-6-luna",
    "metadata": {
        "openclaw": {
            "install": [
                {
                    "bins": [
                        "zerogpu"
                    ],
                    "kind": "node",
                    "package": "zerogpu-cli"
                }
            ],
            "requires": {
                "bins": [
                    "zerogpu"
                ]
            }
        }
    },
    "description": "Chat with gpt-5.6-luna, the cost-optimized model of OpenAI's GPT-5.6 family, with a 272K-token context window, adjustable reasoning effort, function calling, and structured outputs. Use for cost-sensitive, high-volume coding, chat, reasoning, RAG, summarization, and translation work. Costs twice chat-gpt-6-luna on input and over twice on output, over the same 272K window.",
    "allowed-tools": "Bash(zerogpu chat_completions *)",
    "argument-hint": "<text> [-i <instructions>]"
}

Sends your input to ZeroGPU's hosted API for inference — this is not local processing. Don't pass secrets, credentials, or regulated data you aren't cleared to share with a third party. See the plugin README's "Data & privacy" section.

Call gpt-5.6-luna. Run this with the exec tool, pasting the user's prompt into the heredoc verbatim — no escaping or quoting required (the quoted heredoc handles every shell metacharacter, newline, quote, and paren safely):

zerogpu chat_completions -m gpt-5.6-luna <<'ZGPU_END_OF_INPUT'
<the user's prompt, verbatim>
ZGPU_END_OF_INPUT

If the user supplied system instructions, add -i '<instructions>' after the model flag, writing any ' inside them as '\''.

At $0.20 / $1.20 per 1M input/output tokens this costs twice chat-gpt-6-luna on input and over twice on output, over the same 272K-token window, and a third more than chat on input with twice its output price. For a prompt that fits in 131K tokens, chat is cheaper on both.

Output is the assistant's answer as plain text — the model's reasoning trace comes back in a separate field and is not printed. Relay the answer as-is — do not rewrite or expand it.

Savings note: only if the command output literally contains a line starting with 💰 ZeroGPU savings, append that exact line, unchanged, as the last line of your reply. If no such line is present, say nothing about savings and do not mention or suggest the cost-savings skill — this note is intentionally occasional, not shown every time.

Version History

  • 605eceb Current 2026-11-02 19:14

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2026-11-02 19:14

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