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Model Rate Limiter
作者
mazhimin-123
· GitHub ↗
· v1.0.0
· MIT-0
92
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版本数
在 OpenClaw 中安装
/install model-rate-limiter
功能描述
限制大模型请求频率，每分钟不超指定次数（默认5次）。当用户提到"限制请求频率"、"限速"、"模型限流"、"每分钟不超过X次"时触发。
安全使用建议
This skill is straightforward and appears safe: it keeps rate-limit state in {workspace}/rate-limit-state.json and asks you to enable it if you want rate limiting (default is disabled). Before installing, confirm what {workspace} resolves to in your agent (so the file won’t be written to an unexpected location), ensure the agent has only the intended write permission to that workspace, and consider how concurrent agent runs will handle file updates (race conditions). If you need stronger guarantees, ask for explicit file-path validation, atomic update behavior, or central storage designed for concurrent access. Otherwise it's reasonable to install.
功能分析
Type: OpenClaw Skill
Name: model-rate-limiter
Version: 1.0.0
The skill is a simple state management tool designed to help an AI agent track and limit its own request frequency using a local JSON file (rate-limit-state.json). It contains no executable code, network calls, or instructions to access sensitive data, and its logic is entirely consistent with its stated purpose of preventing API rate-limiting.
能力评估
Purpose & Capability
Name/description (rate limiting model requests) match the instructions: the SKILL.md only requires maintaining a local JSON state file and enforcing a per-minute counter. No unrelated binaries, credentials, or network access are requested.
Instruction Scope
Runtime instructions are narrow and self-contained: read/modify {workspace}/rate-limit-state.json before model calls. It does not instruct reading other files, environment variables, or sending data to external endpoints. The only side effect is local file I/O in the workspace.
Install Mechanism
No install spec and no code files — nothing will be downloaded or written at install time. This is low-risk and appropriate for an instruction-only skill.
Credentials
The skill requests no environment variables, credentials, or config paths beyond a single workspace-state file. That level of access is proportional to the stated purpose.
Persistence & Privilege
always:false (default) and no attempts to modify other skills or system-wide config. The skill persists state only in its own workspace JSON file; autonomous invocation is allowed (platform default) but not elevated here.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install model-rate-limiter - 安装完成后，直接呼叫该 Skill 的名称或使用
/model-rate-limiter触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
Initial release
元数据
常见问题
Model Rate Limiter 是什么？
限制大模型请求频率，每分钟不超指定次数（默认5次）。当用户提到"限制请求频率"、"限速"、"模型限流"、"每分钟不超过X次"时触发。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 92 次。
如何安装 Model Rate Limiter？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install model-rate-limiter」即可一键安装，无需额外配置。
Model Rate Limiter 是免费的吗？
是的，Model Rate Limiter 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Model Rate Limiter 支持哪些平台？
Model Rate Limiter 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Model Rate Limiter？
由 mazhimin-123（@mazhimin-123）开发并维护，当前版本 v1.0.0。
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