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Rate Limiting Implementation

Checked
aj-geddes·vlatest·backend·MIT

This skill implements rate limiting to protect your application from abuse and overload, ensuring fair usage and stability.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add aj-geddes/useful-ai-prompts --skill rate-limiting-implementation -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

aj-geddes

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned aj-geddes/useful-ai-prompts at 3f5182cfd7.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
3f5182cfd7
Manifest
skills/rate-limiting-implementation/SKILL.md
Scanned
9 files, 783 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

rate-limiting-implementation

What it does

This skill enables AI agents to enforce request throttling and quota management on API endpoints. It prevents system overload by automatically rejecting or delaying requests that exceed defined frequency limits or token budgets.

When to use it

  • Protecting backend services from abuse during high-traffic events like flash sales.
  • Ensuring fair usage across multiple tenants sharing a single infrastructure instance.
  • Preventing accidental cost overruns in cloud environments with pay-per-request pricing models.
  • Mitigating the impact of automated bots or scrapers targeting public-facing APIs.

Key capabilities

  • Configurable request frequency thresholds per user or IP address.
  • Dynamic quota management based on time windows (e.g., requests per minute).
  • Automatic response codes for exceeding limits (typically 429 Too Many Requests).
  • Integration with existing authentication and logging systems.

Example prompts

  • "Implement a rate limiting middleware that blocks any API call exceeding 100 requests per hour from the same IP."
  • "Create a quota system where free-tier users are limited to 5,000 tokens per day while premium users get 50,000."
  • "Set up adaptive rate limiting that increases thresholds during off-peak hours and tightens them during peak usage times."

Tips & gotchas

Ensure your rate limit logic accounts for legitimate retry attempts; consider implementing exponential backoff headers to guide clients on when they can safely retry. Always monitor false positives, as overly strict limits may inadvertently block valid user traffic during network glitches or high-volume legitimate operations.