chat-glm-5-3-flash
GitHub调用 Z.ai 的 glm-5.3-flash 模型，利用其百万级上下文窗口处理代码库规模编程、长文档及多步智能体任务，支持函数调用与可调节推理力度。
Trigger Scenarios
Install
npx skills add zerogpu/zerogpu-router --skill chat-glm-5-3-flash -g -y
SKILL.md
Frontmatter
{
"name": "chat-glm-5-3-flash",
"metadata": {
"openclaw": {
"install": [
{
"bins": [
"zerogpu"
],
"kind": "node",
"package": "zerogpu-cli"
}
],
"requires": {
"bins": [
"zerogpu"
]
}
}
},
"description": "Chat with glm-5.3-flash, Z.ai's efficient open-weight model for coding and long-horizon agent tasks, whose hybrid sparse and linear attention holds a 1M-token context window with function calling and adjustable reasoning effort. Use for repo-scale code work, long documents, and multi-step agent runs. It is the cheapest of the three 1M-context models on the platform, a third of chat-deepseek-v4-1-flash on input and under a third on output.",
"allowed-tools": "Bash(zerogpu chat_completions *)",
"argument-hint": "<text> [-i <instructions>]"
}
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.
Call glm-5.3-flash. Run this with the exec tool, pasting the user's prompt 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 glm-5.3-flash <<'ZGPU_END_OF_INPUT'
<the user's prompt, verbatim>
ZGPU_END_OF_INPUT
If the user supplied system instructions, add -i '<instructions>' after the model flag, writing any ' inside them as '\''.
At $0.10 / $0.35 per 1M input/output tokens this is the cheapest of the three 1M-context models on the platform — a third of chat-deepseek-v4-1-flash on input and under a third on output, and a quarter of chat-gpt-4-1-mini on input and under a quarter on output. Prefer it for coding and long-horizon agent work at repo scale; when the task wants DeepSeek's higher-effort reasoning, chat-deepseek-v4-1-flash is the pricier alternative.
Output is the assistant's answer as plain text — the model's reasoning trace comes back in a separate field and is not printed. Relay the answer as-is — do not rewrite or expand it.
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
- 605eceb Current 2026-11-02 19:14
