Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Data Analysis
Skill 3
Swiss-army knife for JSON files. Pretty-print, validate, minify, sort keys, and query with dot-notation paths. Zero dependencies.
skill openclawclawhub Free
Swiss-army knife for JSON files. Pretty-print, validate, minify, sort keys, and query with dot-notation paths. Zero dependencies.
⬇ 0 downloads ★ 0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, main.py
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- claudiodrusus
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
JSON Toolkit
A zero-dependency Python utility for working with JSON data. Validates, formats, minifies, queries, and inspects JSON files — all with Python's standard library.
Features
Pretty-print with configurable indentation (2, 4, or any number of spaces) Minify JSON to reduce file size for APIs and storage Validate JSON and get structural stats (type, key count, size) Query nested data with dot-notation paths including array indices Sort keys alphabetically for deterministic output and easier diffs Stdin support for use in shell pipelines with other tools
Usage Examples
Pretty-print a JSON file: python main.py data.json Validate without output: python main.py config.json --validate # ✓ Valid JSON # Type: object (12 keys) # Size: 4832 bytes Query a nested value: python main.py users.json --query data.users.0.name # "Alice" Minify for production: python main.py config.json --minify -o config.min.json Sort keys for consistent diffs: python main.py package.json --sort-keys -o package-sorted.json Pipe from curl: curl -s https://api.example.com/data | python main.py - --query results.0
Query Syntax
Use dot notation to navigate nested structures. Array indices are numbers: name — top-level key data.users — nested object key data.users.0 — first element of an array data.users.0.email — field of the first array element config.servers.2.host — deeply nested value
Command Line Options
input — JSON file path, or - for stdin -o, --output — Output file (defaults to stdout) --indent N — Indentation spaces (default: 2) --minify — Output minified JSON (no whitespace) --query PATH / -q PATH — Extract a value at the given dot-notation path --validate — Only validate and print stats, no output --sort-keys — Sort object keys alphabetically --json — (implicit) Output is always valid JSON
Category context
Data access, storage, extraction, analysis, reporting, and insight generation.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs1 Scripts
- SKILL.md
- main.py