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在 OpenClaw 中安装
/install rate-limit-guard
功能描述
Prevent 429 retry loops and wasted tokens. Use before expensive API calls or after hitting rate limits. Enforces preflight checks, backoff, and context shrin...
安全使用建议
This skill is coherent and low-risk: it only contains runtime guidance and asks for nothing extra. Before installing, consider that the instructions are high-level and rely on the agent's ability to inspect recent request history and manage retries — test it in a safe environment to confirm it behaves as you expect. Also be aware that, while the skill itself requests no credentials, the agent invoking it may have permissions to providers or logs; ensure those agent permissions are appropriate for automated retry/backoff behavior.
功能分析
Type: OpenClaw Skill
Name: rate-limit-guard
Version: 1.0.0
The rate-limit-guard skill provides legitimate instructions for an AI agent to manage API rate limits and optimize token usage. It outlines standard best practices such as exponential backoff, context shrinking, and concurrency management in SKILL.md, with no evidence of malicious intent, data exfiltration, or unauthorized execution.
能力评估
Purpose & Capability
Name and description match the actual instructions. The checks and mitigation steps (concurrency, probes, exponential backoff, context shrinkage) are coherent with a rate-limit guard and no unrelated resources or credentials are requested.
Instruction Scope
SKILL.md contains high-level, scoped runtime guidance (what to check before calls and what to do on 429). It does not instruct reading arbitrary files, contacting external endpoints, or exfiltrating data. It does reference checking 'recent failures' and 'provider/model' which implicitly requires access to the agent's request history/state, but that is expected for this function and is not excessive.
Install Mechanism
No install spec and no code files — instruction-only skill. This minimizes risk because nothing is written to disk or downloaded.
Credentials
Requires no environment variables, credentials, or config paths. There is no disproportionate access requested for the stated purpose.
Persistence & Privilege
always is false and the skill is user-invocable. disable-model-invocation is false (normal) which allows autonomous invocation, but that is the platform default and not excessive for this kind of helper.
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 rate-limit-guard - 安装完成后，直接呼叫该 Skill 的名称或使用
/rate-limit-guard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: Prevent 429 retry loops and wasted tokens with preflight checks and backoff.
元数据
常见问题
Rate Limit Guard 是什么？
Prevent 429 retry loops and wasted tokens. Use before expensive API calls or after hitting rate limits. Enforces preflight checks, backoff, and context shrin... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 156 次。
如何安装 Rate Limit Guard？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install rate-limit-guard」即可一键安装，无需额外配置。
Rate Limit Guard 是免费的吗？
是的，Rate Limit Guard 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Rate Limit Guard 支持哪些平台？
Rate Limit Guard 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 Limit Guard？
由 KairoKid（@dodge1218）开发并维护，当前版本 v1.0.0。
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