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 latestaiagents/agent-skills --skill agent-error-recoverygit clone --depth 1 https://github.com/latestaiagents/agent-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/latestaiagents/agent-skills/agent-error-recovery)<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.
<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>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 | $0.00053 | $0.03010 |
| Opus 5 | $0.00026 | $0.01505 |
| Sonnet 5 | $0.00011 | $0.00602 |
| Haiku 4.5 | $0.00005 | $0.00301 |
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.
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
};
}
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.
- 12d ago First seen · 486 lines · 53 tokens per session scan A e2d915eec473
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.
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