error-pattern-analyzer

error-pattern-analyzer is a skill for Claude Code, Codex from latestaiagents/agent-skills. It costs 51 tokens per session (2,422 once invoked), scanned A, original, MIT.

A guide for finding repeated error patterns in application logs and grouping them by frequency and impact.

In plain words
What is it for?
Use it to review error logs, investigate production incidents, rank bug fixes, and look for trends across errors.
Why use it?
It helps separate urgent failures from low-priority noise and trace recurring problems back to possible systemic causes.

Skill for Claude CodeCodex

Part of the developer-toolkit plugin — 19 skills shipped together

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.

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

Made for: Claude Code, Codex.

Or install developer-toolkit, the plugin that ships this one along with the rest of its 19 skills.

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 error-pattern-analyzer

README.md
[![agentmods](https://agentmods.dev/badge/skills/latestaiagents/agent-skills/error-pattern-analyzer.svg)](https://agentmods.dev/skills/latestaiagents/agent-skills/error-pattern-analyzer)
Your own site
<a href="https://agentmods.dev/skills/latestaiagents/agent-skills/error-pattern-analyzer"><img src="https://agentmods.dev/badge/skills/latestaiagents/agent-skills/error-pattern-analyzer.svg" alt="Measured on agentmods" height="20"></a>
Per session 51 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,422 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00051 $0.02422
Opus 5 $0.00026 $0.01211
Sonnet 5 $0.00010 $0.00484
Haiku 4.5 $0.00005 $0.00242

Measured 3d ago against content hash 73678d77ffe0, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

error-pattern-analyzer 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 3d 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/developer-toolkit/skills/debug/error-pattern-analyzer/SKILL.md · 382 lines

How it starts

The opening of the file, as written. The whole thing — 382 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Error Pattern Analyzer

Identify recurring error patterns and systemic issues in your codebase.

When to Use

  • Same errors appearing repeatedly
  • Investigating production incidents
  • Prioritizing bug fixes
  • Finding root causes
  • Analyzing error trends

Error Classification

By Frequency

Category Frequency Priority
Critical >100/hour P0 - Immediate
High 10-100/hour P1 - Same day
Medium 1-10/hour P2 - This week
Low <1/hour P3 - Backlog

By Impact

interface ErrorImpact {
  affectedUsers: number;
  revenue: 'blocking' | 'degraded' | 'none';
  dataIntegrity: 'at_risk' | 'safe';
  cascading: boolean; // Does it cause other failures?
}

Pattern Detection Workflow

Step 1: Collect Error Data

interface ErrorRecord {
  timestamp: Date;
  errorType: string;
  message: string;
  stackTrace: string;
  context: {
    userId?: string;
    endpoint?: string;
    input?: unknown;
    environment: string;
  };
  metadata: Record<string, unknown>;
}

// Aggregate errors over time window
async function collectErrors(
  timeRange: { start: Date; end: Date }
): Promise<ErrorRecord[]> {
  return errorStore.query({
    timestamp: { $gte: timeRange.start, $lte: timeRange.end }
  });
}

Step 2: Group by Similarity

function groupErrors(errors: ErrorRecord[]): ErrorGroup[] {
  const groups = new Map<string, ErrorRecord[]>();

  for (const error of errors) {
    // Create fingerprint from error type + normalized message
    const fingerprint = createFingerprint(error);
    const existing = groups.get(fingerprint) || [];
    existing.push(error);
    groups.set(fingerprint, existing);
  }

  return Array.from(groups.entries()).map(([fp, errs]) => ({
    fingerprint: fp,
    count: errs.length,
    firstSeen: errs[0].timestamp,
    lastSeen: errs[errs.length - 1].timestamp,
    sample: errs[0],
    affectedUsers: new Set(errs.map(e => e.context.userId)).size
  }));
}

function createFingerprint(error: ErrorRecord): string {
  // Normalize message (remove variable parts)
  const normalizedMessage = error.message
    .replace(/\b[0-9a-f]{8,}\b/gi, '<ID>') // UUIDs, hashes
    .replace(/\d{4}-\d{2}-\d{2}/g, '<DATE>') // Dates
    .replace(/\d+/g, '<N>'); // Numbers

  // Use first meaningful stack frame
  const keyFrame = extractKeyFrame(error.stackTrace);

  return `${error.errorType}:${normalizedMessage}:${keyFrame}`;
}

Read the full file on GitHub · 382 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. 3d ago First seen · 382 lines · 51 tokens per session scan A 73678d77ffe0

Subscribe to this mod's changes

error-pattern-analyzer is a skill published in the GitHub repository latestaiagents/agent-skills (5 stars, last pushed 4mo ago), licensed MIT. It adds 51 tokens to every session and 2,422 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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