Agent skill · AI & Agents

binance-leaderboard

On-chain wallet leaderboard and Gem Hunter analysis on Binance Web3. Query top trader rankings by PnL, win rate, volume, trade count, or token count across BSC/Solana/Base/ETH. Analyze individual wallet addresses with a 6-dimension scoring model (winrate/stability/drawdown/ tags/pnl/follow_friendly) plus AI archetype overlay. Query Gem Hunter to find wallets holding specific tokens. Save and load preset filter conditions and Gem Hunter configs. Trigger whenever the user mentions leaderboard, top traders, wallet analysis, Address Analysis, AddressScore, Gem Hunter, or wants to evaluate a wallet

binancegithub.com/binanceGitHub ↗
claude-code
Install
npx skills add binance/binance-skills-hub --skill binance-leaderboard --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 3
SKILL.md size: 10 KB
Bundled scripts: none
Version: 1.1
Declared author: binance-web3-team
Path: skills/binance-web3/binance-leaderboard/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 947
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Binance Leaderboard Skill On-chain wallet leaderboard ranking and address analysis. Query top traders by PnL, win rate, and more. Evaluate wallet quality with a 6-dimension scoring model. ## Prerequisites This skill requires the `baw` CLI (`@binance/agentic-wallet` npm package). If `baw` is not found: ```bash npm install -g @binance/agentic-wallet ``` Verify: `baw --version` should print `1.6.2` or higher. If installation fails or the user doesn't have Node.js, inform them that Node.js >= 18 is required. ## When to Use | User intent | Command | |-------------|---------| | Query top traders by PnL/win rate/volume | `baw leaderboard query` | | Analyze a single wallet address (6-dim score + AI archetype) | `baw leaderboard analyze` | | Find wallets holding specific tokens (Gem Hunter) | `baw leaderboard alpha-radar` | | Save/load preset filter conditions | `baw leaderboard preset save/list` | | Save/load Gem Hunter configs | `baw leaderboard alpha-radar-config save/list` | ## Supported Chains | Chain | chainId | |-------|---------| | BSC | `56` | | Solana | `CT_501` | | Base | `8453` | | Ethereum | `1` | ## Command Tree ``` baw leaderboard query # Leaderboard query (Public, no auth)

What's inside
Steps it walks through
  1. Prerequisites
  2. When to Use
  3. Supported Chains
  4. Command Tree
  5. Leaderboard Query
  6. Single Address Analyze
  7. Gem Hunter
  8. Preset & Gem Hunter Config
  9. Core Rules
  10. Scoring Model Overview
  11. Top-N Reverse Lookup
  12. Preset & Config Clearing
  13. Cross-Skill Scenarios
  14. Write-Back Confirmation
Ships with 2 files
  • references/cli.md
  • references/scoring.md
Commands it runs
npm install -g @binance/agentic-wallet
Basic query — top 20 by PnL on BSC, 7d period
baw leaderboard query -c 56 -p 7d -t ALL --json
Sort by win rate, KOL tag only
baw leaderboard query -c 56 -p 30d -t KOL --sort-by 20 --json
Pagination (page from 0, size max 20)
baw leaderboard query -c 56 -p 7d --page 0 --size 20 --json
Analyze a wallet address — 6-dim scoring + AI archetype
Default scans top 1000 entries
baw leaderboard analyze -c 56 -a 0xabc... --json
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About this skill
What does the binance-leaderboard skill do?

On-chain wallet leaderboard and Gem Hunter analysis on Binance Web3. Query top trader rankings by PnL, win rate, volume, trade count, or token count across BSC/Solana/Base/ETH. Analyze individual wallet addresses with a 6-dimension scoring model (winrate/stability/drawdown/ tags/pnl/follow_friendly) plus AI archetype overlay. Query Gem Hunter to find wallets holding specific tokens. Save and load preset filter conditions and Gem Hunter configs. Trigger whenever the user mentions leaderboard, top traders, wallet analysis, Address Analysis, AddressScore, Gem Hunter, or wants to evaluate a wallet

How do I install it?

Run `npx skills add binance/binance-skills-hub --skill binance-leaderboard --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From binance/binance-skills-hub, a repository with 947 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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