Agent Skillszerogpu/zerogpu-router › extract-json

extract-json

GitHub

基于 Schema 从自由文本中提取结构化 JSON 数据。支持联系信息、发票等字段,通过 ZeroGPU API 推理。需指定字段名、类型及描述,适用于非敏感数据的结构化提取任务。

agents/openclaw/plugin/skills/extract-json/SKILL.md zerogpu/zerogpu-router

Trigger Scenarios

用户要求从文本中提取特定字段如姓名、邮箱 需要结构化输出订单或联系人信息 将非结构化文本转换为 JSON 格式

Install

npx skills add zerogpu/zerogpu-router --skill extract-json -g -y
More Options

Non-standard path

npx skills add https://github.com/zerogpu/zerogpu-router/tree/main/agents/openclaw/plugin/skills/extract-json -g -y

Use without installing

npx skills use zerogpu/zerogpu-router@extract-json

指定 Agent (Claude Code)

npx skills add zerogpu/zerogpu-router --skill extract-json -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": "extract-json",
    "metadata": {
        "openclaw": {
            "install": [
                {
                    "bins": [
                        "zerogpu"
                    ],
                    "kind": "node",
                    "package": "zerogpu-cli"
                }
            ],
            "requires": {
                "bins": [
                    "zerogpu"
                ]
            }
        }
    },
    "description": "Schema-driven structured JSON extraction (gliner2-base-v1). Use when the user wants to pull specific named fields out of free text into a JSON object — contact info, invoice details, order data, profile attributes — defined by a per-field type\/description schema.",
    "allowed-tools": "Bash(zerogpu extract_json*)",
    "argument-hint": "<text> -s '<json schema>'"
}

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 structured JSON extraction:

zerogpu extract_json $ARGUMENTS

Quoting (required, to survive shell parsing of arbitrary user text): format $ARGUMENTS with the source 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 source text, verbatim, multi-line and special chars all OK>
ZGPU_T
)" -s '{"contact":["name::str::Full name","email::str::Email address","phone::str::Phone number"]}'

Schema is required, single-quoted JSON. Each field is name::type::description. Output is a JSON object keyed by group, with extracted field values.

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

  • cee9321 Current 2026-08-02 21:16

    更新依赖库并修复安全漏洞。

  • 7b9b503 2026-07-24 11:48

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Metadata

Files
0
Version
cee9321
Hash
f2b6d70b
Indexed
2026-07-24 11:48

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