classify-zero-shot

Agent Skills › zerogpu/zerogpu-router › classify-zero-shot

classify-zero-shot

GitHub

调用 ZeroGPU API 对文本进行零样本分类，支持用户自定义标签列表。适用于情感分析、内容打标等场景，需通过 heredoc 安全传递输入文本并指定标签。

agents/openclaw/plugin/skills/classify-zero-shot/SKILL.md zerogpu/zerogpu-router

触发场景

需要对文本进行分类但未提供预训练模型用户希望基于自定义标签集判断文本类别

安装

npx skills add zerogpu/zerogpu-router --skill classify-zero-shot -g -y

更多选项

非标准路径

npx skills add https://github.com/zerogpu/zerogpu-router/tree/main/agents/openclaw/plugin/skills/classify-zero-shot -g -y

不安装直接使用

npx skills use zerogpu/zerogpu-router@classify-zero-shot

指定 Agent (Claude Code)

npx skills add zerogpu/zerogpu-router --skill classify-zero-shot -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": "classify-zero-shot",
    "metadata": {
        "openclaw": {
            "install": [
                {
                    "bins": [
                        "zerogpu"
                    ],
                    "kind": "node",
                    "package": "zerogpu-cli"
                }
            ],
            "requires": {
                "bins": [
                    "zerogpu"
                ]
            }
        }
    },
    "description": "Zero-shot classification against a caller-supplied list of candidate labels (deberta-v3-small). Use when the user wants to classify text into a custom set of labels they provide (e.g. \"is this positive, negative, or neutral?\", \"tag this as bug, feature, or question\").",
    "allowed-tools": "Bash(zerogpu classify_zero_shot*)",
    "argument-hint": "<text> (-l <label>... | --labels a,b,c) [-t <0..1>]"
}

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.

Run zero-shot classification:

zerogpu classify_zero_shot $ARGUMENTS

Quoting (required, to survive shell parsing of arbitrary user text): format $ARGUMENTS with the input text wrapped via heredoc command substitution, then flags after. Inside the heredoc, paste the user's text verbatim — do not escape:

"$(cat <<'ZGPU_T'
<the input text, verbatim, multi-line and special chars all OK>
ZGPU_T
)" --labels a,b,c

At least one label is required — either repeat -l <label> or pass --labels a,b,c. Optional -t <threshold> filters labels below a confidence for multi-label output.

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
更新依赖库并修复安全漏洞
7b9b503 2026-07-24 11:48

元信息

文件数: 0
版本: 87b63e9
Hash: dddc1605
收录时间: 2026-07-24 11:48

classify-zero-shot