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.
npx skills add codebygarv/Ai-skills --skill rate-limiting-architectgit clone --depth 1 https://github.com/codebygarv/Ai-skillsWrote 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/skills/codebygarv/ai-skills/rate-limiting-architect)<a href="https://agentmods.dev/skills/codebygarv/ai-skills/rate-limiting-architect"><img src="https://agentmods.dev/badge/skills/codebygarv/ai-skills/rate-limiting-architect.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 | $0.00027 | $0.00371 |
| Opus 5 | $0.00014 | $0.00186 |
| Sonnet 5 | $0.00005 | $0.00074 |
| Haiku 4.5 | $0.00003 | $0.00037 |
Grade A, and why
rate-limiting-architect 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 8d 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.
What it actually says
Purpose
Architect scalable, distributed rate limiting and traffic throttling systems using Token Bucket, Leaky Bucket, Sliding Window Log, or Sliding Window Counter algorithms to protect APIs from abuse and noisy neighbors.
When to Use
- Protecting public APIs from DDoS, credential stuffing, and scraping.
- Implementing multi-tier usage limits (Free vs Pro vs Enterprise quotas).
- Managing outbound rate limits to comply with third-party vendor quotas (OpenAI, Stripe).
What to Analyze
- Algorithm Selection: Token Bucket (bursts allowed) vs Leaky Bucket (smooth pacing) vs Sliding Window Counter (memory efficient).
- Identification Key: User ID, Organization ID, API Token, or IP address (with X-Forwarded-For trust validation).
- Storage Tier: Redis cluster with Lua scripts (atomic evaluation) vs local memory vs Envoy/Kong API Gateway rate limits.
- Standard HTTP Headers: Return standard headers (
RateLimit-Limit,RateLimit-Remaining,RateLimit-Reset,Retry-After). - Graceful Degradation: HTTP 429 Too Many Requests response with actionable backoff guidance.
Output Format
- Rate Limiting Blueprint: Selected algorithm, storage topology, and key design.
- Redis Lua Script: Atomic multi-key sliding window or token bucket implementation.
- Middleware Code: Express / Fastify / Go HTTP rate limiter with standard headers.
Avoid
- Simple fixed-window counters that permit 2x traffic bursts at the boundary minute.
- Executing multiple non-atomic Redis commands that create race conditions under load.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 8d ago First seen · 34 lines · 27 tokens per session scan A f0e25c93a9aa
rate-limiting-architect is a skill published in the GitHub repository codebygarv/Ai-skills (25 stars, last pushed 18d ago), licensed MIT. It adds 27 tokens to every session and 371 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 2026-08-30.
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