Project introduction

Binance Skills Hub is an open marketplace of skills that let AI agents work with crypto through natural language: searching tokens, executing trades, tracking wallets, monitoring signals, and interacting with DeFi protocols across centralized and decentralized venues. It is aimed at agent builders rather than end users, and is presented as framework- and chain-neutral, so it can be wired into LangChain, CrewAI, or a custom stack via configuration.

Each skill is a folder containing a SKILL.md file with YAML frontmatter and structured instructions, so the repository doubles as a pattern reference for writing new skills.

Quick start

Prerequisites: Node.js 22 or higher. Add the hub to a project with:

npx skills add https://github.com/binance/binance-skills-hub

This works with agents such as OpenClaw and Claude Code. Some Binance endpoints require API credentials, supplied through environment variables or a secrets file such as .env or .openclaw/secrets.env; the per-skill authentication reference explains the expected format. Scope the API key to only the permissions the agent needs and whitelist the IP where the agent runs.

Contributing a skill

Fork the repository, branch off, and create a folder containing a SKILL.md with the required frontmatter (title, description, metadata.version, metadata.author, license), then follow the body with instructions and examples. Open a pull request against main for review before it is merged. Browsing existing skills first helps match the naming and structure conventions.

Usage constraints

• Node.js 22+ is required for the npx skills add install path.
• Trading and wallet-related skills touch real accounts; API credentials must be limited by permission scope and IP whitelisting.
• The repository declares no license at the top level, while the contribution template specifies MIT for individual skills.
• The disclaimer states that outputs are informational only, may contain errors, biases, or outdated data, and are not investment advice; digital asset trading carries market risk, and Binance may change or discontinue the feature by region.

HotRepo's take

The repository had 1,137 stars and 268 forks as of the 2026-11-04 weekly Python record, when it ranked 16th on that language list after gaining 39 stars in the week. That places it in a period of steady, moderate attention rather than a breakout, which fits a catalog-style repository whose value depends on the breadth and reliability of the skills it hosts. The open contribution model is the main thing to watch: what agents can actually do here will be set by the quality of contributed SKILL.md instructions and the credential handling they assume.

Project source and documentation