extract-entities
GitHub调用ZeroGPU API执行自定义标签的命名实体识别，支持提取人员、组织等任意定义类型的实体。
触发场景
安装
npx skills add zerogpu/zerogpu-router --skill extract-entities -g -y
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
