chat-liquid
GitHub通过 Liquid AI 边缘模型提供快速、低成本的单轮对话回复，适用于无需上下文或代码生成且重视速度与成本的场景。
触发场景
安装
npx skills add zerogpu/zerogpu-router --skill chat-liquid -g -y
SKILL.md
Frontmatter
{
"name": "chat-liquid",
"metadata": {
"openclaw": {
"install": [
{
"bins": [
"zerogpu"
],
"kind": "node",
"package": "zerogpu-cli"
}
],
"requires": {
"bins": [
"zerogpu"
]
}
}
},
"description": "Fastest, cheapest chat reply via Liquid AI's edge model (LFM2.5-1.2B-Instruct). Use when the user wants a quick, single-turn answer that does not need host-level reasoning, prior conversation context, or code generation, and explicitly favors speed or cost over quality. Optional system instructions via -i.",
"allowed-tools": "Bash(zerogpu chat *)",
"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 the Liquid AI edge model. $ARGUMENTS is the raw prompt. Pass it verbatim, with no escaping or quoting required (the heredoc below handles every shell metacharacter, newline, quote, and paren safely):
ZGPU_TEXT=$(cat <<'ZGPU_END_OF_INPUT'
$ARGUMENTS
ZGPU_END_OF_INPUT
)
zerogpu chat "$ZGPU_TEXT" -m LFM2.5-1.2B-Instruct
If the user supplied system instructions, append -i "<instructions>" after the model flag.
Output is the assistant's answer as plain text. Relay it as-is, without rewriting or expanding it. At 1.2B parameters this model is terse and occasionally mechanical; that is expected. If the answer is too weak for the task, the chat skill runs the same prompt on gpt-oss-120b.
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.
版本历史
- cee9321 当前 2026-08-02 21:15
