retry-backoff-auditor

Audit retry and backoff implementations for correctness issues across layers.

1|Updated Apr 16, 2026
One-click install
npx skills add https://github.com/FrogAi/Xenopus --skill retry-backoff-auditor
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: retry-backoff-auditor
Source: https://github.com/FrogAi/Xenopus/tree/main/Gemini/Skills/Gemini%203.1%20Pro/retry-backoff-auditor
Command: npx skills add https://github.com/FrogAi/Xenopus --skill retry-backoff-auditor

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Detects and reports retry-backoff correctness issues in code paths to prevent amplified failures, thundering-herd risks, and misconfigured backoff strategies.

Core Features & Use Cases

  • Live references fetch and citation-driven findings to verify backoff patterns against AWS, Google SRE, and resilience libraries.
  • Detects nested retries, jitter taxonomy (full/equal/decorrelated), bounded retries, and proper handling of Retry-After.
  • Ensures idempotency safety, correct circuit-breaker pairing, and clear, read-only reporting to aid remediation.

Quick Start

Run the audit across retry points to surface backoff correctness issues and recommended mitigations.

Frequently Asked Questions about retry-backoff-auditor

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

FAQPage Schema
How do I audit retry logic for exponential backoff and jitter correctness?

Auditing retry logic involves scanning backoff implementations to detect correctness issues across HTTP, RPC, DB, and message-queue paths. It validates exponential backoff, jitter types (full, equal, decorrelated), bounded retries, and proper Retry-After handling to prevent amplified failures.

What is a thundering herd risk in retry backoff strategies and how do I detect it?

A thundering herd risk occurs when synchronized client retries overwhelm a recovering service. Detecting it requires auditing retry paths for proper jitter application and circuit-breaker coupling to ensure staggered, bounded retry execution and prevent system overload.

How do I check if my retry paths are idempotency safe across nested layers?

Checking idempotency safety requires auditing nested retry implementations across HTTP, RPC, DB, and message-queue paths. The audit verifies that retryable and non-retryable errors are correctly classified, ensuring repeated operations do not cause unintended side effects or data duplication.

Can I audit retry-budget and circuit-breaker coupling in my application?

Yes, you can audit retry-budget and circuit-breaker coupling by analyzing retry configurations to ensure they are properly paired. This read-only audit verifies that bounded retries and total timeouts are configured correctly to prevent cascading failures and maintain system resilience.

What are the limitations of auditing retry logic without bounded total timeouts?

Without bounded total timeouts, retry logic risks indefinite execution and resource exhaustion. Auditing identifies missing bounded retries and insufficient timeout configurations, providing structured reporting to highlight correctability issues and recommend mitigations for unsafe backoff strategies.