Best use case
model-health-check is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
检查已配置模型供应商的连通性、延迟和可用性，用于快速诊断模型侧故障。
Teams using model-health-check should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/model-health-check/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How model-health-check Compares
| Feature / Agent | model-health-check | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
检查已配置模型供应商的连通性、延迟和可用性，用于快速诊断模型侧故障。
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Model Health Check 检查所有配置的模型供应商连通性和延迟。 ## 触发条件 用户发送 `/model-check`、`模型检查`、`model health`、`检查模型`、`供应商状态` 等。 ## 执行 ```bash bash ~/clawd/scripts/model-health-check.sh ``` 直接运行脚本，将输出原样返回给用户。无需额外处理。 ## 超时 脚本总耗时约 20-30 秒（每个供应商最多 15 秒超时）。使用 `timeout: 120` 确保完成。
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