| name | classify-zero-shot |
| 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"). |
| argument-hint | <text> (-l <label>... | --labels a,b,c) [-t <0..1>] |
| allowed-tools | Bash(zerogpu classify_zero_shot*) |
| metadata | {"openclaw":{"requires":{"bins":["zerogpu"]},"install":[{"kind":"node","package":"zerogpu-cli","bins":["zerogpu"]}]}} |
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.
