agent-error-recovery

agent-error-recovery is a skill for Claude Code from latestaiagents/agent-skills. It costs 53 tokens per session (3,010 once invoked), scanned A, original, MIT.

A guide for making AI agents handle failures in an organized way. It groups errors such as timeouts, rate limits, bad input, permission problems, and missing resources by how they should be handled.

In plain words
What is it for?
Use it to design retries, fallback paths, error records, monitoring, alerts, and recovery behavior for single-agent or multi-agent systems.
Why use it?
It helps an agent distinguish temporary failures that may succeed after a retry from problems that require a different action or cannot be fixed automatically. This prevents failures from stopping an entire workflow unnecessarily.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the agent-architect plugin — 13 skills, 1 command, 5 MCP servers shipped together

Good fit Use it to design retries, fallback paths, error records, monitoring, alerts, and recovery behavior for single-agent or multi-agent systems.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/latestaiagents/agent-skills/agent-error-recovery
Install

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.

Any agent
npx skills add latestaiagents/agent-skills --skill agent-error-recovery
Clone the repo
git clone --depth 1 https://github.com/latestaiagents/agent-skills

Made for: Claude Code.

Or install agent-architect, the plugin that ships this one along with the rest of its 13 skills, 1 command, 5 MCP servers.

Wrote 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.

agentmods badge for agent-error-recovery

README.md
[![agentmods](https://agentmods.dev/badge/skills/latestaiagents/agent-skills/agent-error-recovery/github.svg)](https://agentmods.dev/skills/latestaiagents/agent-skills/agent-error-recovery)
Your own site
<a href="https://agentmods.dev/skills/latestaiagents/agent-skills/agent-error-recovery"><img src="https://agentmods.dev/badge/skills/latestaiagents/agent-skills/agent-error-recovery/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for agent-error-recovery

Your own site · 80×15
<a href="https://agentmods.dev/skills/latestaiagents/agent-skills/agent-error-recovery"><img src="https://agentmods.dev/badge/skills/latestaiagents/agent-skills/agent-error-recovery.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 53 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,010 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00053 $0.03010
Opus 5 $0.00026 $0.01505
Sonnet 5 $0.00011 $0.00602
Haiku 4.5 $0.00005 $0.00301

Measured 12d ago against content hash e2d915eec473, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

agent-error-recovery 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 12d 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.

plugins/agent-architect/skills/patterns/agent-error-recovery/SKILL.md · 486 lines

How it starts

The opening of the file, as written. The whole thing — 486 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agent Error Recovery

Design fault-tolerant agent systems that recover gracefully from failures.

When to Use

  • Building production-grade agent systems
  • Agents need to handle API failures
  • Implementing autonomous error recovery
  • Designing resilient multi-agent workflows
  • Setting up monitoring and alerting

Error Classification

enum ErrorCategory {
  // Transient - retry likely to succeed
  RATE_LIMIT = 'rate_limit',
  TIMEOUT = 'timeout',
  NETWORK = 'network',
  SERVICE_UNAVAILABLE = 'service_unavailable',

  // Recoverable - different approach may work
  INVALID_INPUT = 'invalid_input',
  CONTEXT_OVERFLOW = 'context_overflow',
  TOOL_FAILURE = 'tool_failure',

  // Terminal - cannot proceed
  AUTHENTICATION = 'authentication',
  AUTHORIZATION = 'authorization',
  NOT_FOUND = 'not_found',
  VALIDATION = 'validation',

  // Unknown
  UNKNOWN = 'unknown'
}

interface AgentError {
  category: ErrorCategory;
  code: string;
  message: string;
  retryable: boolean;
  context: Record<string, unknown>;
  timestamp: Date;
  stackTrace?: string;
}

function classifyError(error: Error): AgentError {
  // Rate limits
  if (error.message.includes('429') || error.message.includes('rate limit')) {
    return {
      category: ErrorCategory.RATE_LIMIT,
      code: 'RATE_LIMITED',
      message: error.message,
      retryable: true,
      context: { waitTime: extractWaitTime(error) },
      timestamp: new Date()
    };
  }

  // Timeouts
  if (error.message.includes('timeout') || error.message.includes('ETIMEDOUT')) {
    return {
      category: ErrorCategory.TIMEOUT,
      code: 'TIMEOUT',
      message: error.message,
      retryable: true,
      context: {},
      timestamp: new Date()
    };
  }

  // Context overflow
  if (error.message.includes('context length') || error.message.includes('too long')) {
    return {
      category: ErrorCategory.CONTEXT_OVERFLOW,
      code: 'CONTEXT_OVERFLOW',
      message: error.message,
      retryable: true, // Can retry with truncated context
      context: {},
      timestamp: new Date()
    };
  }

  // Default
  return {
    category: ErrorCategory.UNKNOWN,
    code: 'UNKNOWN',
    message: error.message,
    retryable: false,
    context: {},
    timestamp: new Date(),
    stackTrace: error.stack
  };
}

Read the full file on GitHub · 486 lines

Changes

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.

  1. 12d ago First seen · 486 lines · 53 tokens per session scan A e2d915eec473

Subscribe to this mod's changes

agent-error-recovery is a skill published in the GitHub repository latestaiagents/agent-skills (5 stars, last pushed 4mo ago), licensed MIT. It adds 53 tokens to every session and 3,010 once invoked, about $0.0003 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 2026-08-31.