
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/followfriendly) 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's trading quality — even if they don't say "leaderboard" explicitly.
- Installs
- 2K
- Last 24h
- +244
- Trending rank
- #1119
- Security
- Not audited
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/binance/binance-skills-hub --skill binance-leaderboard- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads binance-leaderboard automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
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:
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)
analyze # Single address analysis (6-dim score + AI overlay)
alpha-radar # Gem Hunter query (Private, agentSessionId)
preset
save # Save preset filters (Private)
list # List preset filters (Private)
alpha-radar-config
save # Save Gem Hunter config (Private)
list # List Gem Hunter config (Private)
All commands support --json for structured output.
Leaderboard Query
# 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
Public endpoint — no auth required. Returns per-address PnL, win rate, volume, trade count, token distribution, daily PNL, and top earning tokens.
Key query parameters: -c/--chain-id (required), -p/--period (7d/30d/90d), -t/--tag (ALL/KOL/MPC), --sort-by (0=PnL · 20=Win Rate · 30=Total Volume · 50=Trade Count · 60=Recent Activity · 70=Profit Rate · 80=Token Count), --order-by (0/2=Descending · 1=Ascending), --page (from 0), --size (max 20).
Full parameter and return field reference: references/cli.md
Single Address Analyze
# Analyze a wallet address — 6-dim scoring + AI archetype
# Default scans top 1000 entries
baw leaderboard analyze -c 56 -a 0xabc... --json
# Scan more entries (up to 5000) for long-tail addresses
baw leaderboard analyze -c 56 -a 0xabc... --top-n 5000 --json
Evaluates the address across 6 dimensions (winrate 25 + stability 20 + drawdown 20 + tags 15 + pnl 10 + follow_friendly 10 = 100), then applies an AI overlay (archetype + behavior_flags + ai_adjustment ±10).
Flow: Query leaderboard top 1000 (configurable via --top-n) → reverse-lookup the target address → compute scores → apply AI overlay → output rating.
Rating: ⭐⭐⭐ ≥ 80 · ⭐⭐ ≥ 65 · ⭐ ≥ 50 · ❌ < 50
If the address is not in the top N (default 1000), returns "N beyond top". Use --top-n to increase scan range up to 5000.
Full scoring model details: references/scoring.md
Gem Hunter
# Find wallets holding specific tokens
baw leaderboard alpha-radar -c 56 \
-t 0xtoken1,0xtoken2 \
-m 1 --json
Private endpoint — requires agentSessionId. Extra required params: -t/--tokens (comma-separated token addresses), -m/--match-count (≥ 1). Supports -p/--period, --page, --size like query.
Returns records with the same fields as leaderboard query, but topEarningTokens replaced by marchedTokens (matched tokens).
Note: The field is spelled marchedTokens (not "matched") in the CLI output.
Preset & Gem Hunter Config
# Save preset filter conditions (pass null/empty to clear all)
baw leaderboard preset save --config '[{"name":"MyPreset","period":"7d","winRateMin":50}]' --json
# List saved presets
baw leaderboard preset list --json
# Save Gem Hunter config (pass null/empty to clear)
baw leaderboard alpha-radar-config save -c 56 \
--config '[{"uuid":"u1","name":"MyRadar","matchTokenCount":2,"tokenAddressList":[{"tokenAddress":"0xabc"}]}]' --json
# List saved configs
baw leaderboard alpha-radar-config list -c 56 --json
Core Rules
Scoring Model Overview
6-dimension model (total 100) + AI overlay (±10). Dimensions: winrate (25), stability (20), drawdown (20), tags (15), pnl (10), follow_friendly (10). Full tiered scoring tables and AI overlay rules: references/scoring.md.
Top-N Reverse Lookup
analyze queries the leaderboard's top 1000 entries (configurable via --top-n, max 5000) and reverse-looks-up the target address. If not found, returns "N beyond top" — inform the user they can increase --top-n or use binance-wallet-tracker's address list for long-tail wallets.
Preset & Config Clearing
Passing null or empty array to preset save or alpha-radar-config save clears all saved items.
Cross-Skill Scenarios
Some scenarios require both leaderboard and wallet-tracker skills:
- evaluate follow list: Use
binance-wallet-tracker'stracker followto get the user's followed addresses, thenleaderboard analyzeeach one. - leaderboard diff: Query leaderboard top N, then diff against
binance-wallet-tracker'saddress listto find untracked wallets. - batch import: Query leaderboard with filters → output address list → feed to
binance-wallet-tracker'saddress batchcommand.
Write-Back Confirmation
After preset/config save operations, re-fetch via list to confirm the operation succeeded — don't assume success from the API response alone. If readback shows the saved data is missing, tell the user "Save may not have taken effect, please try again later" — never mention backend bugs or silent failures.
User-Facing Presentation
This skill serves end users, not developers. Internal field names, error codes, and CLI internals must never appear in user-facing output.
1. Term Mapping (internal → user-facing)
| Internal value | User-facing term | Notes |
|---|---|---|
archetype: sniper | Sniper | |
archetype: swing | Swing Trader | |
archetype: accumulator | Accumulator | |
archetype: farmer | Farmer | |
archetype: mixed | Mixed | |
sort-by: 0 | Sort by PnL | |
sort-by: 20 | Sort by Win Rate | |
sort-by: 30 | Sort by Total Volume | |
sort-by: 50 | Sort by Trade Count | |
sort-by: 60 | Sort by Recent Activity | |
sort-by: 70 | Sort by Profit Rate | |
sort-by: 80 | Sort by Token Count | |
address (in display) | omit | Don't show raw address unless user asks; use {addressLabel} |
finalScore | Score | Don't show the formula totalScore + aiAdjustment |
Raw enum values (sniper, swing, etc.) may appear in CLI syntax examples and internal lookup tables, but never in user-facing replies.
2. Never expose internal identifiers
groupId,displayOrder— internal IDs, never shown to users- Error codes (
70001001, etc.) — translate to natural-language messages only - Backend behavior details (e.g. preset save returning
data: truewithout persisting) — never mention "backend bug" or "silent failure"
3. Display template hygiene
Use user-facing terms in all output. The archetype field should be translated to its Chinese term (Sniper, Swing Trader, etc.) — never show the raw English enum value. Score should be shown as a number, not as a formula.
Error Codes
Error codes are for internal lookup only — never show numeric codes or internal names to users. Translate to natural-language messages.
| Code | Internal Name | User-Facing Message |
|---|---|---|
| 70001001 | TRACKER_API_ERROR | Query failed, please try again later |
| 70004001 | TRACKER_LEADERBOARD_EMPTY | Leaderboard data is empty |
| 70004002 | TRACKER_ADDRESS_NOT_RANKED | Address not ranked (beyond top 250) |
Display Templates
Leaderboard entry:
{addressLabel} | PnL: {realizedPnl} ({realizedPnlPercent}%) | Win Rate: {winRate}% | Trades: {totalTxCnt} | Tokens: {totalTradedTokens}
Address analysis rating:
📊 {addressLabel} Address Analysis
Rating: ⭐⭐⭐ (85/100)
Trading Style: Sniper
Behavior Patterns: High Frequency Small Amount, Nocturnal Active
Dimension Scores:
Win Rate: 22/25 | Stability: 18/20 | Drawdown: 16/20
Tags: 15/15 | PnL: 8/10 | Trackability: 6/10
AI Adjustment: +5 (consistent trading style, stable pattern)
Full CLI Reference
references/cli.md— All commands with parameter tables, return field tables, and examplesreferences/scoring.md— 6-dimension scoring model, AI overlay, rating standards
FAQ
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/followfriendly) 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's trading quality — even if they don't say "leaderboard" explicitly.
How do I install binance-leaderboard?
Run npx skills add https://github.com/binance/binance-skills-hub --skill binance-leaderboard in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/binance-leaderboard/ (personal) or .claude/skills/binance-leaderboard/ (project).
Which AI agents can use binance-leaderboard?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is binance-leaderboard safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains binance-leaderboard?
It is published by binance in binance/binance-skills-hub. It has 2,027 recorded installs.
More from binance/binance-skills-hub
square-post
binance/binance-skills-hub
Use when the user wants to publish new content to Binance Square — short text, multi-image posts (up to 4), long-form articles with an optional cover, or videos with an auto-generated cover frame. Trigger on direct phrasings like "post to Square", "publish to Binance Square", "发广场", "发布到广场", and on near-miss intents where the user clearly wants to share or publish content on Square even without naming the skill: "share this analysis on Square", "把这篇文章发出去", "发个动态", "把这个视频上传到广场", "publish my chart to Square as an article". Also use when the user provides media (images, video) plus a caption and asks to push it to Square, or asks to turn a draft into a Square article. Do not use for reading, searching, commenting, liking, editing, deleting, scheduling, or managing existing Square posts — this skill only creates new posts.
binance-agentic-wallet
binance/binance-skills-hub
Use when the user mentions wallet connect/sign in/sign out, check balance, send/transfer tokens, swap/buy/sell tokens, DEX trade, limit/market order, cancel order, get a quote, transaction history, wallet settings, daily limit, slippage, MEV protection, supported chains, send to ENS domain, send to .eth or .bnb name, resolve domain name to address, domain-based transfer, send to .ai Agent ID name, Agent ID claim status, whether I claimed my .ai space id / Agent ID, get my .ai domain, prediction market, place prediction, redeem winnings, prediction PnL, x402 payment, HTTP 402 Payment Required, check/revoke/manage token approvals, DeFi protocols, staking, liquidity pool, LP, yield farming, deposit, redeem, stake, unstake, claim rewards/fees, health factor, APY, TVL, sign external transaction, contract call, sign message, EIP-712, developer mode, speed up/cancel/replace transaction, pending/stuck transactions, gas price, gas fee, network fee, fee levels, gas tiers, or any on-chain wallet
trading-signal
binance/binance-skills-hub
Per-trade smart-money signals — each result is a discrete buy or sell event from a tracked smart-money wallet, with trigger price, current price, max gain since trigger, and exit rate. BSC and Solana only. Use for: "smart money buy signal on $X", "any whale just bought $Y", "alpha signals in the last hour", "copy-trade-worthy signals", "trigger price and max gain on these trades", "on-chain trading signals from smart money".
crypto-market-rank
binance/binance-skills-hub
Crypto market leaderboards — ranked aggregate feeds across the whole market: social-hype/sentiment rank, trending / top-search / Binance Alpha / tokenized-stocks rank, smart-money net-inflow rank (which tokens received the most inflow), top meme tokens by breakout score on Pulse launchpad, top trader PnL leaderboard (ALL / KOL). Use whenever the user wants a ranked list of tokens or addresses by some metric — phrases like "trending tokens", "top N by hype", "leaderboard", "rank by X", "biggest inflows", "top traders this week".
query-token-info
binance/binance-skills-hub
Per-token details for a specific token identified by keyword, symbol, or contract address: (1) search — find tokens by keyword/symbol/contract; (2) meta — static info: name, symbol, logo, social links, creator, official website; (3) dynamic — real-time market data: price, 24h change, volume, holder count, liquidity; (4) kline — OHLCV candlestick data for technical analysis. Use for: "price of $X", "search for token Y", "kline chart for $Z", "who created $W", "social links for $V", "holder count of $U", "candlestick data", "find the contract address of ".
query-token-audit
binance/binance-skills-hub
Query token security audit to detect scams, honeypots, and malicious contracts before trading. Returns comprehensive security analysis including contract risks, trading risks, and scam detection. Use when users ask "is this token safe?", "check token security", "audit token", or before any swap.
Popular business & finance skills
sales-enablement
coreyhaines31/marketingskills
When the user wants to create sales collateral, pitch decks, one-pagers, objection handling docs, or demo scripts. Also use when the user mentions 'sales deck,' 'pitch deck,' 'one-pager,' 'leave-behind,' 'objection handling,' 'deal-specific ROI analysis,' 'demo script,' 'talk track,' 'sales playbook,' 'proposal template,' 'buyer persona card,' 'battle card,' 'battlecard,' 'competitive one-pager,' 'win-loss analysis,' 'why are we losing deals,' 'loss reasons,' 'how do I respond to this objection,' 'prospect just said,' 'help my sales team,' 'sales materials,' or 'what should I give my sales reps,' 'cold call script,' or 'voicemail script.' Use this for any document or asset that helps a sales team close deals. For public competitor comparison pages, see competitors. For running buyer interviews or churn research, see customer-research. For marketing website copy, see copywriting. For cold outreach emails, see cold-email. For the offer being sold (bonuses, guarantees, pricing structure),
revops
coreyhaines31/marketingskills
When the user wants help with revenue operations, lead lifecycle management, or marketing-to-sales handoff processes. Also use when the user mentions 'RevOps,' 'revenue operations,' 'lead scoring,' 'outbound pipeline stages,' 'lead routing,' 'MQL,' 'SQL,' 'pipeline stages,' 'deal desk,' 'CRM automation,' 'marketing-to-sales handoff,' 'data hygiene,' 'leads aren't getting to sales,' 'pipeline management,' 'lead qualification,' or 'when should marketing hand off to sales.' Use this for anything involving the systems and processes that connect marketing to revenue. For cold outreach emails, see cold-email. For email drip campaigns, see emails. For pricing decisions, see pricing.
sales-funnel-blueprint
autonnel/autonnel-skills
Turn an offer into a concrete multi-step sales funnel spec - page-by-page structure, price ladder, copy outline and the metrics each step must hit. Use when asked to build a sales funnel, marketing funnel, landing page flow, lead magnet funnel, webinar funnel, tripwire or VSL funnel, when planning a product launch page flow, or when someone asks "what pages do I need" for selling something online.
pricing
coreyhaines31/marketingskills
When the user wants help with pricing decisions, packaging, or monetization strategy. Also use when the user mentions 'pricing,' 'pricing tiers,' 'freemium,' 'free trial,' 'packaging,' 'price increase,' 'value metric,' 'Van Westendorp,' 'willingness to pay,' 'monetization,' 'how much should I charge,' 'my pricing is wrong,' 'pricing page,' 'annual vs monthly,' 'per seat pricing,' 'should I offer a free plan,' 'pricing page teardown,' 'pricing page audit,' 'is my pricing page AI-readable,' or 'can AI read my pricing.' Use this whenever someone is figuring out what to charge, how to structure their plans, or wants to audit a pricing page (for humans and for the AI agents that shortlist tools). For in-app upgrade screens, see paywalls. For offer construction (bonuses, guarantees, value framing, naming) on services/courses/coaching/high-ticket B2B, see offers.
cross-border-ecommerce
nexscope-ai/ecommerce-skills
Cross-border e-commerce expansion advisor. Scores target markets on 8 weighted dimensions (market size, ecommerce penetration, competition, regulatory complexity, logistics infrastructure, payment ecosystem, cultural distance, IP protection), compares 5 fulfillment models with cost and transit data, provides country-by-country tax/duty compliance guides (EU VAT/IOSS, UK VAT, US sales tax, CA GST, AU GST, JP consumption tax), maps local payment preferences by market, and builds a phased expansion roadmap. No API key required.
pricing-strategy
coreyhaines31/marketingskills
When the user wants help with pricing decisions, packaging, or monetization strategy. Also use when the user mentions 'pricing,' 'pricing tiers,' 'freemium,' 'free trial,' 'packaging,' 'price increase,' 'value metric,' 'Van Westendorp,' 'willingness to pay,' 'monetization,' 'how much should I charge,' 'my pricing is wrong,' 'pricing page,' 'annual vs monthly,' 'per seat pricing,' or 'should I offer a free plan.' Use this whenever someone is figuring out what to charge or how to structure their plans. For in-app upgrade screens, see paywall-upgrade-cro.