binance-leaderboard

Name: binance-leaderboard
Author: binance

939stars183forks

How to install binance-leaderboard?

binance/binance-skills-hub/binance-leaderboard

$npx -y skills add binance/binance-skills-hub --skill binance-leaderboard

Installs into the current project.

Summary

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/

Files · 1

View on GitHub

SKILL.md

1	# Binance Leaderboard Skill
2
3	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.
4
5	## Prerequisites
6
7	This skill requires the `baw` CLI (`@binance/agentic-wallet` npm package). If `baw` is not found:
8
9	```bash
10	npm install -g @binance/agentic-wallet
11	```
12
13	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.
14
15	## When to Use
16
17	\| User intent \| Command \|
18	\|-------------\|---------\|
19	\| Query top traders by PnL/win rate/volume \| `baw leaderboard query` \|
20	\| Analyze a single wallet address (6-dim score + AI archetype) \| `baw leaderboard analyze` \|
21	\| Find wallets holding specific tokens (Gem Hunter) \| `baw leaderboard alpha-radar` \|
22	\| Save/load preset filter conditions \| `baw leaderboard preset save/list` \|
23	\| Save/load Gem Hunter configs \| `baw leaderboard alpha-radar-config save/list` \|
24
25	## Supported Chains
26
27	\| Chain \| chainId \|
28	\|-------\|---------\|
29	\| BSC \| `56` \|
30	\| Solana \| `CT_501` \|
31	\| Base \| `8453` \|
32	\| Ethereum \| `1` \|
33
34	## Command Tree
35
36	```
37	baw leaderboard
38	query # Leaderboard query (Public, no auth)
39	analyze # Single address analysis (6-dim score + AI overlay)
40	alpha-radar # Gem Hunter query (Private, agentSessionId)
41	preset
42	save # Save preset filters (Private)
43	list # List preset filters (Private)
44	alpha-radar-config
45	save # Save Gem Hunter config (Private)
46	list # List Gem Hunter config (Private)
47	```
48
49	All commands support `--json` for structured output.
50
51	## Leaderboard Query
52
53	```bash
54	# Basic query — top 20 by PnL on BSC, 7d period
55	baw leaderboard query -c 56 -p 7d -t ALL --json
56
57	# Sort by win rate, KOL tag only
58	baw leaderboard query -c 56 -p 30d -t KOL --sort-by 20 --json
59
60	# Pagination (page from 0, size max 20)
61	baw leaderboard query -c 56 -p 7d --page 0 --size 20 --json
62	```
63
64	Public endpoint — no auth required. Returns per-address PnL, win rate, volume, trade count, token distribution, daily PNL, and top earning tokens.
65
66	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).
67
68	Full parameter and return field reference: [`references/cli.md`](references/cli.md)
69
70	## Single Address Analyze
71
72	```bash
73	# Analyze a wallet address — 6-dim scoring + AI archetype
74	# Default scans top 1000 entries
75	baw leaderboard analyze -c 56 -a 0xabc... --json
76
77	# Scan more entries (up to 5000) for long-tail addresses
78	baw leaderboard analyze -c 56 -a 0xabc... --top-n 5000 --json
79	```
80
81	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).
82
83	Flow: Query leaderboard top 1000 (configurable via `--top-n`) → reverse-lookup the target address → compute scores → apply AI overlay → output rating.
84
85	Rating: ⭐⭐⭐ ≥ 80 · ⭐⭐ ≥ 65 · ⭐ ≥ 50 · ❌ < 50
86
87	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.
88
89	Full scoring model details: [`references/scoring.md`](references/scoring.md)
90
91	## Gem Hunter
92
93	```bash
94	# Find wallets holding specific tokens
95	baw leaderboard alpha-radar -c 56 \
96	-t 0xtoken1,0xtoken2 \
97	-m 1 --json
98	```
99
100	Private endpoint — requires `agentSessionId`. Extra required params: `-t/--tokens` (comma-separated token addresses), `-m/--match-count` (≥ 1). Supports `-p/--period`, `--page`, `--size` like query.
101
102	Returns records with the same fields as leaderboard query, but `topEarningTokens` replaced by `marchedTokens` (matched tokens).
103
104	Note: The

People who liked this also viewed

6 picks

Type

binance-leaderboard

939stars183forks

View on GitHub

How to install binance-leaderboard?

binance/binance-skills-hub/binance-leaderboard

$npx -y skills add binance/binance-skills-hub --skill binance-leaderboard

Installs into the current project.

Summary

Files · 1

View on GitHub

SKILL.md

1	# Binance Leaderboard Skill
2
3	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.
4
5	## Prerequisites
6
7	This skill requires the `baw` CLI (`@binance/agentic-wallet` npm package). If `baw` is not found:
8
9	```bash
10	npm install -g @binance/agentic-wallet
11	```
12
13	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.
14
15	## When to Use
16
17	\| User intent \| Command \|
18	\|-------------\|---------\|
19	\| Query top traders by PnL/win rate/volume \| `baw leaderboard query` \|
20	\| Analyze a single wallet address (6-dim score + AI archetype) \| `baw leaderboard analyze` \|
21	\| Find wallets holding specific tokens (Gem Hunter) \| `baw leaderboard alpha-radar` \|
22	\| Save/load preset filter conditions \| `baw leaderboard preset save/list` \|
23	\| Save/load Gem Hunter configs \| `baw leaderboard alpha-radar-config save/list` \|
24
25	## Supported Chains
26
27	\| Chain \| chainId \|
28	\|-------\|---------\|
29	\| BSC \| `56` \|
30	\| Solana \| `CT_501` \|
31	\| Base \| `8453` \|
32	\| Ethereum \| `1` \|
33
34	## Command Tree
35
36	```
37	baw leaderboard
38	query # Leaderboard query (Public, no auth)
39	analyze # Single address analysis (6-dim score + AI overlay)
40	alpha-radar # Gem Hunter query (Private, agentSessionId)
41	preset
42	save # Save preset filters (Private)
43	list # List preset filters (Private)
44	alpha-radar-config
45	save # Save Gem Hunter config (Private)
46	list # List Gem Hunter config (Private)
47	```
48
49	All commands support `--json` for structured output.
50
51	## Leaderboard Query
52
53	```bash
54	# Basic query — top 20 by PnL on BSC, 7d period
55	baw leaderboard query -c 56 -p 7d -t ALL --json
56
57	# Sort by win rate, KOL tag only
58	baw leaderboard query -c 56 -p 30d -t KOL --sort-by 20 --json
59
60	# Pagination (page from 0, size max 20)
61	baw leaderboard query -c 56 -p 7d --page 0 --size 20 --json
62	```
63
64	Public endpoint — no auth required. Returns per-address PnL, win rate, volume, trade count, token distribution, daily PNL, and top earning tokens.
65
66	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).
67
68	Full parameter and return field reference: [`references/cli.md`](references/cli.md)
69
70	## Single Address Analyze
71
72	```bash
73	# Analyze a wallet address — 6-dim scoring + AI archetype
74	# Default scans top 1000 entries
75	baw leaderboard analyze -c 56 -a 0xabc... --json
76
77	# Scan more entries (up to 5000) for long-tail addresses
78	baw leaderboard analyze -c 56 -a 0xabc... --top-n 5000 --json
79	```
80
81	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).
82
83	Flow: Query leaderboard top 1000 (configurable via `--top-n`) → reverse-lookup the target address → compute scores → apply AI overlay → output rating.
84
85	Rating: ⭐⭐⭐ ≥ 80 · ⭐⭐ ≥ 65 · ⭐ ≥ 50 · ❌ < 50
86
87	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.
88
89	Full scoring model details: [`references/scoring.md`](references/scoring.md)
90
91	## Gem Hunter
92
93	```bash
94	# Find wallets holding specific tokens
95	baw leaderboard alpha-radar -c 56 \
96	-t 0xtoken1,0xtoken2 \
97	-m 1 --json
98	```
99
100	Private endpoint — requires `agentSessionId`. Extra required params: `-t/--tokens` (comma-separated token addresses), `-m/--match-count` (≥ 1). Supports `-p/--period`, `--page`, `--size` like query.
101
102	Returns records with the same fields as leaderboard query, but `topEarningTokens` replaced by `marchedTokens` (matched tokens).
103
104	Note: The

People who liked this also viewed

6 picks

Type