error-recovery

Implement timeout-aware fetch, WebSocket reconnection, cache fallback, and error boundaries for CYPHER V3.

4|1|Updated Feb 12, 2026
One-click install
npx skills add https://github.com/0xjc65eth/CYPHER-V3 --skill error-recovery-0xjc65eth
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: error-recovery
Source: https://github.com/0xjc65eth/CYPHER-V3/tree/main/skills/error-recovery
Command: npx skills add https://github.com/0xjc65eth/CYPHER-V3 --skill error-recovery-0xjc65eth

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Prevents the CYPHER V3 interface from showing white screens or crashing silently by ensuring graceful recovery from API timeouts, rate limits, WebSocket interruptions, cache failures, and wallet disconnects while preserving UX and data integrity.

Core Features & Use Cases

  • Timeout-aware HTTP fetching with AbortController, explicit timeout errors, and RateLimit handling so UI requests don't hang indefinitely.
  • Resilient WebSocket management with exponential reconnect, capped backoff, and visual connection status to keep live feeds robust.
  • Transparent cache fallback that uses in-memory storage when Redis is missing or failing to avoid total service degradation.
  • Module-level error boundaries to isolate component failures and present safe fallbacks with retry actions.
  • Wallet disconnect detection and recovery that monitors provider state, cleans up inconsistent state, and prompts graceful reconnection flows.
  • Data freshness indicators and robustness scans to surface stale data and automate common vulnerability checks across the codebase.
  • Use case: when a market-data provider rate-limits or a Redis outage occurs, the system falls back to last-known values, shows reconnecting/offline states, and preserves critical UI interactions without a full-page crash.

Quick Start

Run an end-to-end resilience audit of the CYPHER V3 codebase and produce prioritized fixes for fetch timeouts, WebSocket reconnection, cache fallbacks, error boundaries, wallet recovery, and data freshness indicators.

Frequently Asked Questions about error-recovery

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I prevent white screen crashes when WebSocket streams disconnect?

Prevent white screen crashes by implementing resilient WebSocket management with exponential reconnection, capped backoff, and visual connection status indicators. Module-level error boundaries isolate component failures and present safe fallbacks with retry actions to preserve UI interactions.

How do I handle API rate limits and fetch timeouts without breaking the UI?

Handle API rate limits and fetch timeouts using timeout-aware HTTP fetching with AbortController and explicit timeout errors. When a provider rate-limits, the system falls back to last-known values to avoid hanging the UI indefinitely.

What is the best way to fall back when Redis cache fails or becomes unavailable?

The best way to handle Redis cache failures is implementing transparent cache fallback that uses in-memory storage. This approach avoids total service degradation by preserving critical data access when Redis is missing or failing.

Can I detect and recover from wallet disconnects gracefully in a web3 frontend?

Yes, you can recover from wallet disconnects by monitoring provider state, cleaning up inconsistent state, and prompting graceful reconnection flows. This wallet state monitoring prevents silent crashes and preserves data integrity during disconnects.

How do I audit my codebase for resilience against network and API failures?

Audit your codebase for resilience by running an end-to-end scan that produces prioritized fixes for fetch timeouts, WebSocket reconnection, cache fallbacks, error boundaries, wallet recovery, and data freshness indicators across frontend and backend modules.

Why does my application show stale data after a network interruption?

Your application shows stale data because it lacks data freshness indicators that surface stale values after interruptions. Implementing visual freshness indicators and cache fallbacks ensures users know when data is last-known versus live.