A command-line utility for decoding, inspecting, and validating JSON Web Tokens without leaving your terminal.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install jwt-decode
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install jwt-decode using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
JWT Decode is a powerful developer utility designed to streamline the process of inspecting JSON Web Tokens (JWT). This Openclaw Skills entry provides a local alternative to browser-based decoders, ensuring sensitive authentication data stays within your development environment. It offers immediate insights into token headers, payloads, and validation statuses.
By integrating this tool into your workflow, you can quickly verify token claims, troubleshoot authentication failures, and automate token validation checks. It is an essential addition to the Openclaw Skills library for any developer working with modern web security and identity protocols.
To get started with this Openclaw Skills tool, install it globally using npm:
npm install -g @lxgicstudios/jwt-decode
Alternatively, run it without installation using npx:
npx @lxgicstudios/jwt-decode <your-token>
This Openclaw Skills utility organizes output into logical sections for easy reading. The following table describes the primary data elements extracted:
| Section | Fields | Description |
|---|---|---|
| Header | alg, typ | Identifies the signing algorithm and token type. |
| Payload | sub, iat, exp, claims | Contains the claims, issued at, and expiration timestamps. |
| Status | Valid/Expired | A calculated status based on the current system time. |
When using the --json flag, the skill returns a structured object containing header, payload, and meta keys.
Loading
An automated documentation tool that generates JSDoc or TSDoc comments for exported functions and classes without modifying code logic.

A developer-centric tool that analyzes your actual codebase to generate relevant, high-signal technical interview questions for hiring.

Generate smart database index suggestions by analyzing query patterns in your source code.

A zero-config AI utility that scans image directories to identify performance bottlenecks and suggest optimization strategies.

A developer tool for generating production-ready Kubernetes manifests from docker-compose files or plain English descriptions.

An AI-driven CLI tool that transforms Docker Compose files and plain text descriptions into production-ready Kubernetes YAML manifests.








































