extract-signals
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触发场景
安装
npx skills add zerogpu/zerogpu-router --skill extract-signals -g -y
SKILL.md
Frontmatter
{
"name": "extract-signals",
"metadata": {
"openclaw": {
"install": [
{
"bins": [
"zerogpu"
],
"kind": "node",
"package": "zerogpu-cli"
}
],
"requires": {
"bins": [
"zerogpu"
]
}
}
},
"description": "Turn free text into structured signals — topics, keywords, intent, and other contextual attributes — in a single call (zlm-v1-signal-extract, 80M). Use for content enrichment, contextual intelligence, ad targeting, agent routing, recommendation, and analytics pipelines, where a general-purpose LLM would be overkill. For IAB taxonomy categories alongside these signals, use classify-iab-enriched.",
"allowed-tools": "Bash(zerogpu chat_completions *)",
"argument-hint": "<text>"
}
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 signal extraction. Run this with the exec tool, pasting the source text into the heredoc verbatim — no escaping or quoting required (the quoted heredoc handles every shell metacharacter, newline, quote, and paren safely):
zerogpu chat_completions -m zlm-v1-signal-extract <<'ZGPU_END_OF_INPUT'
<the source text, verbatim>
ZGPU_END_OF_INPUT
Output is a structured JSON object of the signals the model found — topics, keywords, intent, and other contextual attributes.
At 80M parameters and $0.02 / $0.05 per 1M input/output tokens this is built for high-volume enrichment. Its context window is 400 tokens, so send the passage you want enriched rather than a whole document. If you need IAB audience and content categories too, classify-iab-enriched returns those alongside topics, keywords, and intent.
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
- 4e1b070 当前 2026-09-22 08:08
