Can I find sessions associated with a specific git branch?

Yes, the filter-sessions script supports a --branch flag to isolate sessions based on the git branch where the work was performed.

What format does the extracted data come in?

Depending on the script, data can be returned in JSON, table, CSV, or raw text formats for easy reading or further processing.

Does this skill read the entire log file into Claude's memory?

No, it uses optimized bash scripts and jq to extract only the specific data requested, such as errors or statistics, preserving your context budget.

Why do I need jq installed to use this skill?

jq is a powerful command-line JSON processor. This skill relies on it to parse Claude Code's native JSONL logs efficiently without manual parsing overhead.

Claude Code Session Data Extractor

Name: Claude Code Session Data Extractor
Author: bitwarden

bybitwarden

分析与监控

Extracts structured metadata, statistics, and interaction logs from Claude Code native session files for auditing and retrospective analysis.

关于

This skill provides programmatic access to the JSONL log files generated by Claude Code, allowing developers to inspect interaction history without bloating the AI's context window. It enables searching through past sessions by date, branch, or size, and can pinpoint specific events such as tool failures, assistant thinking blocks, or token usage statistics. By offloading the parsing to optimized shell scripts and jq, it ensures that only relevant session data is retrieved, making it an essential utility for debugging agentic workflows or generating performance reports.

主要功能

Automated JSONL parsing using jq for high-performance data retrieval
Filter sessions by git branch, file size, line count, or date ranges
Generate session statistics to evaluate interaction complexity before analysis
Extract specific data types including tool usage, error logs, and user prompts
0 GitHub stars
Locate project-specific log directories using standardized path calculations

使用场景

Reviewing previous session prompts and responses for documentation or code review
Auditing failed tool calls to debug agent behavior in complex projects
Tracking token usage and interaction metrics across multiple development branches

关于

主要功能

Automated JSONL parsing using jq for high-performance data retrieval
Filter sessions by git branch, file size, line count, or date ranges
Generate session statistics to evaluate interaction complexity before analysis
Extract specific data types including tool usage, error logs, and user prompts
0 GitHub stars
Locate project-specific log directories using standardized path calculations

使用场景

Reviewing previous session prompts and responses for documentation or code review
Auditing failed tool calls to debug agent behavior in complex projects
Tracking token usage and interaction metrics across multiple development branches