Best use case
token-guard is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
> Token 用量防护与限制——API 调用成本监控与预算保护
Teams using token-guard 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/token-guard/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How token-guard Compares
| Feature / Agent | token-guard | 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?
> Token 用量防护与限制——API 调用成本监控与预算保护
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
# token-guard > Token 用量防护与限制——API 调用成本监控与预算保护 **状态**: TODO — 目录已创建，待实现 ## 计划功能 - Token 消耗实时监控 - 日/周预算设置与告警 - 超预算自动降级或阻断 - 按模型/Agent 的用量分拆 ## 相关文件 _待补充_
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