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Rate Limiting

作者 ClawKK · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
154
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install rate-limiting
功能描述
Deep rate limiting workflow—identifying actors and resources, choosing algorithms, distributed vs local limits, client UX (headers, retries), and abuse detec...
安全使用建议
This skill is a low-risk, instruction-only design guide for rate limiting. It does not install software or ask for credentials. You should: (1) confirm the content aligns with your organization's policies and tech stack before applying changes, (2) test any recommended algorithms/configs in a staging environment, and (3) consider the author/source trustworthiness (no homepage provided) if you require provenance for compliance or internal policy reasons.
功能分析
Type: OpenClaw Skill Name: rate-limiting Version: 1.0.0 The skill bundle contains only documentation and a structured workflow for designing rate-limiting systems. It provides architectural guidance across six stages (threat modeling, algorithms, distributed enforcement, etc.) and lacks any executable code, network calls, or malicious instructions in SKILL.md.
能力评估
Purpose & Capability
Name and description match the SKILL.md content: a multi-stage rate-limiting design workflow. The skill requests no binaries, env vars, or config paths, which is appropriate for a guidance-only skill.
Instruction Scope
Runtime instructions are purely advisory (six-stage workflow, checklists, tips). They do not instruct the agent to read files, access secrets, contact external endpoints, or execute commands—staying within the stated purpose.
Install Mechanism
No install spec and no code files are present (instruction-only). That minimizes disk writes and execution risk and is appropriate for a documentation-style skill.
Credentials
The skill requests no environment variables, credentials, or config paths. Mentions of technologies (Redis, CDNs, headers) are contextual only and do not imply access to those systems.
Persistence & Privilege
always is false and the skill does not request elevated or persistent privileges. Autonomous model invocation is allowed by platform default but this skill's instruction-only nature limits what it can do.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install rate-limiting
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /rate-limiting 触发
  4. 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 of the "rate-limiting" workflow skill. - Guides users through a deep, 6-stage process: threat & fairness modeling, key/dimension selection, algorithm choice, distributed enforcement, client experience, and observability. - Designed for protecting APIs, gateways, and multi-tenant SaaS workloads. - Includes best practices, example policies, review checklists, and advice for handling common deviations.
元数据
Slug rate-limiting
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Rate Limiting 是什么?

Deep rate limiting workflow—identifying actors and resources, choosing algorithms, distributed vs local limits, client UX (headers, retries), and abuse detec... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 154 次。

如何安装 Rate Limiting?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install rate-limiting」即可一键安装,无需额外配置。

Rate Limiting 是免费的吗?

是的,Rate Limiting 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Rate Limiting 支持哪些平台?

Rate Limiting 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 Rate Limiting?

由 ClawKK(@codekungfu)开发并维护,当前版本 v1.0.0。

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