binance-leaderboard

binance-leaderboard is an Investment analysis & markets skill for AI agents, published by binance in the binance-skills-hub repository on GitHub. Skillspace rates binance-leaderboard D (58/100) and it passed the safety scan; the rating is based on static analysis only.

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's trading quality — even if they don't say "leaderboard" explicitly.

Grade
D
Quality
58 / 100
Safety
Passed
GitHub stars
1,027

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHubbinance/binance-skills-hub

Our review

Architecture
78 / 100
Maturity
Structured: ships references or scripts
Security scan
Low-risk patterns
License
Not declared. Check the repository before reusing it.

What the scanner flagged

  • mentions secrets in text

Not checked yet

  • Category is a classifier prediction; no model has read this skill yet
  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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