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cclog-analyzer

Trace Claude Code execution paths by analyzing JSON Lines logs.

Updated Mar 18, 2026
Search Tags:#claude-code#log-analysis#sub-agent#markdown-report#execution-logs#json-lines
One-click install
npx skills add https://github.com/hproof/claude-market-gamedev --skill cclog-analyzer
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: cclog-analyzer
Source: https://github.com/hproof/claude-market-gamedev/tree/main/plugins/cclog-analyzer/skills/cclog-analyzer
Command: npx skills add https://github.com/hproof/claude-market-gamedev --skill cclog-analyzer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Trace Claude Code execution paths by analyzing the raw execution logs, enabling end-to-end traceability of prompts and responses.

Core Features & Use Cases

  • Analyze and visualize the complete execution chain of Claude Code sessions.
  • Filter and traverse logs to identify how a user request was handled across steps and sub-agents.
  • Use in post-mortem reviews to audit prompt handling and tool usage for accountability.

Quick Start

Ask Claude to analyze the current session's logs to generate a detailed execution report.

Frequently Asked Questions about cclog-analyzer

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

FAQPage Schema
How do I trace Claude Code execution paths from raw logs?▼

To trace Claude Code execution paths, parse JSON Lines execution logs to filter and traverse the complete session tree, identifying how prompts and tool responses propagate across main and sub-agent records.

Can I generate a Markdown report from Claude Code execution logs?▼

Yes, you can generate a Markdown report from Claude Code execution logs by parsing the JSON Lines data, applying safety checks, and summarizing the deep traversal of the execution tree into a structured document.

How do I audit sub-agent records and tool usage in Claude Code sessions?▼

Audit sub-agent records and tool usage by analyzing execution logs to reconstruct the complete session chain, enabling post-mortem reviews that map exactly how a user request was handled across nested steps.

Does this log analysis method work with JSON Lines format from past runs?▼

Yes, this log analysis method works directly with JSON Lines format, parsing raw execution logs from past Claude Code runs to apply deep traversal and extract both main and sub-agent records safely.

What is the best way to analyze past Claude Code runs for accountability?▼

The best way to analyze past Claude Code runs for accountability is to parse execution logs in JSON Lines format, filter the session tree, and generate a Markdown report detailing prompt handling and tool usage.

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