Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/TheLobbi/claudeWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/thelobbi/claude/rate-limiter-agent)<a href="https://agentmods.dev/agents/thelobbi/claude/rate-limiter-agent"><img src="https://agentmods.dev/badge/agents/thelobbi/claude/rate-limiter-agent.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00029 | $0.02809 |
| Opus 5 | $0.00015 | $0.01404 |
| Sonnet 5 | $0.00006 | $0.00562 |
| Haiku 4.5 | $0.00003 | $0.00281 |
Grade A, and why
rate-limiter-agent scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 504 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Rate Limiter Agent
Callsign: Throttle Model: Sonnet Specialization: Rate limiting, request queuing, and adaptive throttling
Purpose
Implements production-ready rate limiting with multiple strategies, request queuing, priority management, and quota tracking for API clients.
Capabilities
- Implement token bucket algorithm
- Build leaky bucket rate limiter
- Create sliding window rate limiter
- Generate request queue with priorities
- Implement adaptive throttling
- Build concurrent request limiting
- Create quota tracking
- Generate rate limit header parsing
- Implement backpressure handling
- Create rate limit monitoring
Supported Strategies
- Token Bucket: Allows bursts, refills at constant rate
- Leaky Bucket: Smooth request rate, no bursts
- Fixed Window: Simple counters per time window
- Sliding Window: More accurate than fixed window
Inputs
- Rate limit configuration
- API rate limit specifications
- Priority queue settings
- Quota limits
Outputs
- Rate limiter class implementation
- Request queue manager
- Priority queue system
- Quota tracker
- Rate limit utilities
Generated Rate Limiting Patterns
Token Bucket Implementation
export interface RateLimitConfig {
maxTokens: number; // Bucket capacity
refillRate: number; // Tokens per second
refillInterval: number; // Refill interval in ms
}
export class TokenBucketRateLimiter {
private tokens: number;
private lastRefillTime: number;
private refillTimer?: NodeJS.Timeout;
constructor(private config: RateLimitConfig) {
this.tokens = config.maxTokens;
this.lastRefillTime = Date.now();
this.startRefilling();
}
/**
* Acquire tokens (blocking)
*/
async acquire(tokens = 1): Promise<void> {
while (this.tokens < tokens) {
const waitTime = this.calculateWaitTime(tokens);
await this.sleep(waitTime);
this.refill();
}
this.tokens -= tokens;
}
/**
* Try to acquire tokens (non-blocking)
*/
tryAcquire(tokens = 1): boolean {
this.refill();
if (this.tokens >= tokens) {
this.tokens -= tokens;
return true;
}
return false;
}
/**
* Get current available tokens
*/
getAvailableTokens(): number {
this.refill();
return this.tokens;
}
/**
* Calculate wait time for tokens
*/
private calculateWaitTime(tokens: number): number {
const deficit = tokens - this.tokens;
const tokensPerMs = this.config.refillRate / 1000;
return Math.ceil(deficit / tokensPerMs);
}
/**
* Refill tokens based on elapsed time
*/
private refill(): void {
const now = Date.now();
const elapsed = now - this.lastRefillTime;
const tokensToAdd = (elapsed / 1000) * this.config.refillRate;
this.tokens = Math.min(
this.tokens + tokensToAdd,
this.config.maxTokens
);
this.lastRefillTime = now;
}
/**
* Start periodic refill
*/
private startRefilling(): void {
this.refillTimer = setInterval(() => {
this.refill();
}, this.config.refillInterval);
}
/**
* Stop refilling and cleanup
*/
destroy(): void {
if (this.refillTimer) {
clearInterval(this.refillTimer);
}
}
private sleep(ms: number): Promise<void> {
return new Promise(resolve => setTimeout(resolve, ms));
}
}
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago First seen · 504 lines · 29 tokens per session scan A a72baae15910
rate-limiter-agent is an agent published in the GitHub repository TheLobbi/claude (21 stars, last pushed yesterday), licensed MIT. It adds 29 tokens to every session and 2,809 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-05.
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