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dodge1218

Rate Limit Guard

by KairoKid · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
156
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1
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Install in OpenClaw
/install rate-limit-guard
Description
Prevent 429 retry loops and wasted tokens. Use before expensive API calls or after hitting rate limits. Enforces preflight checks, backoff, and context shrin...
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install rate-limit-guard
  3. After installation, invoke the skill by name or use /rate-limit-guard
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release: Prevent 429 retry loops and wasted tokens with preflight checks and backoff.
Metadata
Slug rate-limit-guard
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Rate Limit Guard?

Prevent 429 retry loops and wasted tokens. Use before expensive API calls or after hitting rate limits. Enforces preflight checks, backoff, and context shrin... It is an AI Agent Skill for Claude Code / OpenClaw, with 156 downloads so far.

How do I install Rate Limit Guard?

Run "/install rate-limit-guard" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Rate Limit Guard free?

Yes, Rate Limit Guard is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Rate Limit Guard support?

Rate Limit Guard is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Rate Limit Guard?

It is built and maintained by KairoKid (@dodge1218); the current version is v1.0.0.

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