rate-limit
Implement or audit Upstash Redis rate limits with trusted user, tenant, API-key, or IP identifiers, 429 headers, and outage behavior. Use when protecting Next.js routes from abuse or cost.
- Category
- devops
- Package
- rate-limit/SKILL.md
- License
- MIT
- Author
- @tushaarmehtaa
- Tags
- rate-limitupstashredissecurityapiabuse-prevention
Install
Swipe for more runtimes.
Codex
Skills directory: ~/.agents/skills
Install globally
npx skills add tushaarmehtaa/tushar-skills --skill rate-limit -g -a codex -yInvoke
$rate-limit or /skillsYou can also describe the task naturally; runtimes may select the skill from its description.
Required access
Claude Code
Skills directory: ~/.claude/skills
Install globally
npx skills add tushaarmehtaa/tushar-skills --skill rate-limit -g -a claude-code -yInvoke
/rate-limitYou can also describe the task naturally; runtimes may select the skill from its description.
Required access
Cursor
Skills directory: ~/.agents/skills
Install globally
npx skills add tushaarmehtaa/tushar-skills --skill rate-limit -g -a cursor -yInvoke
/rate-limitYou can also describe the task naturally; runtimes may select the skill from its description.
Required access
local coding agent required
This skill requires project files, terminal commands, and network access. Uploading it to a chat app does not provide equivalent execution.
ChatGPT Skills
This workflow needs a local coding environment or capabilities that a chat-only Skills upload does not provide.
Why local agent required →Instructions
Source: SKILL.mdRate limiting with Upstash
Rate limits are one layer of abuse and cost control. Design policy before wiring middleware.
Workflow
- Detect Next.js/runtime/version, deployed proxy/CDN, auth/API-key model, installed Upstash versions, protected routes, operation cost, existing quotas, and whether middleware/proxy already touches the request.
- Define a policy table per route class: identifier, algorithm/window/burst, cost weight, user tier, response behavior, and store-outage behavior. Ask only when the threat/cost tradeoff cannot be inferred.
- Prefer authenticated user, API key, or tenant+user identifiers. Use IP only for anonymous traffic and only from a deployment-provided trusted source. Never trust arbitrary
x-forwarded-forfrom the public internet; configure trusted proxy depth/platform headers. Do not collapse unknown clients to127.0.0.1. - Namespace by environment and route/policy. Do not apply blanket middleware and a per-route limiter to the same request unless deliberate layered limits use different keys.
- Configure explicit Upstash timeout and logging/metrics. Choose outage behavior by endpoint:
- low-risk availability paths may fail open with degraded telemetry;
- authentication, high-cost generation, or abuse-sensitive paths may use a local emergency limit, queue, credit reservation, or fail closed with a clear temporary response.
- Return
429with a non-negativeRetry-Afterand consistent rate-limit headers. Add headers to successful responses where useful. Do not emit misleading zero limits during fail-open degradation. - For weighted work, consume tokens based on server-calculated batch/operation cost. Combine rate limits with body-size limits, concurrency controls, idempotency, budgets/credits, and provider quotas where relevant.
- Preserve async work such as analytics synchronization using the runtime’s
waitUntilmechanism when the SDK exposes a pending promise.
Verification
Use deterministic tests with an isolated key prefix and controllable clock/window where possible. Test allowed/blocked/reset behavior, route isolation, authenticated and anonymous keys, spoofed forwarding headers, paid/free policies, concurrency, weighted requests, store timeout/outage behavior, and duplicate middleware avoidance. Run repository lint/type/test/build and inspect Upstash analytics only when enabled.
Output
Report the policy table, identifier trust model, files/env names changed, outage behavior, response headers, layered controls, automated test evidence, and remaining Upstash/deployment configuration.