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jsont

Index and traverse JSON and JSONL data for querying and summarization.

1|Updated Apr 7, 2026
Search Tags:#schema#cli#json#statistics#query#jsonl#explore
One-click install
npx skills add https://github.com/okaris/jsont --skill jsont-okaris
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: jsont
Source: https://github.com/okaris/jsont/tree/main/skills/jt
Command: npx skills add https://github.com/okaris/jsont --skill jsont-okaris

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Querying and exploring JSON and JSONL data without a purpose-built tool is tedious and error-prone.

Core Features & Use Cases

  • Fast CLI for querying, filtering, and summarizing JSON/JSONL data
  • Automatic schema inference, tree view, full-text find, and multi-file/stdin support
  • Export options and flexible output formats for downstream workflows

Quick Start

Run jt on a sample file to quickly inspect, explore, and query JSON data.

Frequently Asked Questions about jsont

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

FAQPage Schema
How do I query and explore large JSONL files from the command line?▼

You can query and explore large JSONL files by indexing and traversing the data to enable fast discovery, filtering, and aggregation directly from your CLI. This approach applies to logs and API responses where manual parsing is tedious.

What is the best way to infer schema from multiple JSON files?▼

Inferring schema from multiple JSON files involves automatically detecting the input format and traversing the data structure to generate a tree view. This allows you to quickly inspect and understand complex datasets without manual inspection.

Can I use stdin to pipe API responses for fast JSON summarization?▼

Yes, you can pipe API responses via stdin for fast JSON summarization. The tool supports multi-file and stdin workflows, allowing you to filter and aggregate data streams seamlessly for downstream tools.

Does this JSON query tool work with both .json and .jsonl formats?▼

Yes, this JSON query tool works with both .json and .jsonl formats through auto-detection of input formats. It indexes and traverses JSON and JSONL data to enable fast discovery and querying across large datasets.

How do I export structured output after filtering JSON data?▼

You can export structured output after filtering JSON data by using the tool's flexible output formats and export options. This ensures the filtered and summarized results are suitable for downstream workflows and tools.

What is the best way to perform full-text search across large JSON datasets?▼

The best way to perform full-text search across large JSON datasets is by indexing and traversing the data structure to enable fast discovery. This allows you to quickly find specific values within logs or API responses.

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