extract-entities

Agent Skills › zerogpu/zerogpu-router › extract-entities

extract-entities

GitHub

基于gliner2-base-v1模型，通过ZeroGPU API执行自定义标签的命名实体识别。支持提取人员、组织、地点等用户定义类型的实体，需指定标签并可选设置置信度阈值，适用于从文本中抽取结构化信息。

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

触发场景

需要从文本中提取特定类型的实体（如人名、公司名）用户要求使用自定义标签进行命名实体识别请求分析文本中的组织机构或日期等信息

安装

npx skills add zerogpu/zerogpu-router --skill extract-entities -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/extract-entities -g -y

不安装直接使用

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

指定 Agent (Claude Code)

npx skills add zerogpu/zerogpu-router --skill extract-entities -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-entities",
    "metadata": {
        "openclaw": {
            "install": [
                {
                    "bins": [
                        "zerogpu"
                    ],
                    "kind": "node",
                    "package": "zerogpu-cli"
                }
            ],
            "requires": {
                "bins": [
                    "zerogpu"
                ]
            }
        }
    },
    "description": "Custom-label named-entity recognition (gliner2-base-v1). Use when the user wants to extract entities with their own labels — people, organizations, locations, products, dates, or any caller-defined entity types — from a passage.",
    "allowed-tools": "Bash(zerogpu extract_entities*)",
    "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 custom-label NER:

zerogpu extract_entities $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
)" --labels person,company,date [-t 0.3]

At least one -l <label> (or --labels a,b,c) is required. Optional -t <threshold> filters spans below a confidence (default 0.3, must be in [0, 1]).

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: cee9321
Hash: a3df95e8
收录时间: 2026-07-24 11:48

extract-entities