Agent Skills › zerogpu/zerogpu-router › chat-gpt-4-1-mini

chat-gpt-4-1-mini

GitHub

调用 ZeroGPU API 使用 gpt-4.1-mini 模型处理指令跟随、工具调用及长上下文任务,适用于编码、推理等场景。

agents/openclaw/plugin/skills/chat-gpt-4-1-mini/SKILL.md zerogpu/zerogpu-router

Trigger Scenarios

用户请求使用 GPT-4.1-mini 模型 需要高指令遵循和工具调用的复杂推理任务

Install

npx skills add zerogpu/zerogpu-router --skill chat-gpt-4-1-mini -g -y
More Options

Non-standard path

npx skills add https://github.com/zerogpu/zerogpu-router/tree/main/agents/openclaw/plugin/skills/chat-gpt-4-1-mini -g -y

Use without installing

npx skills use zerogpu/zerogpu-router@chat-gpt-4-1-mini

指定 Agent (Claude Code)

npx skills add zerogpu/zerogpu-router --skill chat-gpt-4-1-mini -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-4-1-mini",
    "metadata": {
        "openclaw": {
            "install": [
                {
                    "bins": [
                        "zerogpu"
                    ],
                    "kind": "node",
                    "package": "zerogpu-cli"
                }
            ],
            "requires": {
                "bins": [
                    "zerogpu"
                ]
            }
        }
    },
    "description": "Chat with gpt-4.1-mini, OpenAI's fast, cost-efficient GPT-4.1 model, strong at instruction following and tool calling across a 1M-token context window at low latency, with function calling and structured outputs. Use for coding, chat, reasoning, RAG, summarization, and translation over very large inputs where instruction fidelity and tool calling matter more than price. It is the priciest of the three 1M-context models, and the most expensive model on the platform.",
    "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-4.1-mini. 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-4.1-mini <<'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 $0.40 / $1.60 per 1M input/output tokens this is the priciest of the three 1M-context models on the platform — four times chat-glm-5-3-flash on input and over four times on output, and a third again as much as chat-deepseek-v4-1-flash on both. It is the most expensive model on the platform, roughly 2.7x chat on input and output alike and twenty times the 1.2B edge models on input. Prefer it when instruction following and tool calling matter more than price.

Output is the assistant's answer as plain text. 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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