token-scorer
CommunityInstantly score tokens with zero LLM cost
System Documentation
What problem does it solve?
Token scoring for BD and safety checks is slow and expensive when it relies on ad-hoc research or LLM-heavy analysis, so teams need fast, consistent, rule-based screening to decide whether to proceed.
Core Features & Use Cases
- Real-time rule-based token scoring: Applies an 11-rule engine to evaluate liquidity, volume, security signals, deployer identity, and market dynamics without LLM inference.
- Actionable results and classifications: Produces a 0–100 score plus COLD/WARM/HOT bands and a rule-triggered breakdown for what to act on.
- Multi-source data ingestion: Pulls market data from DexScreener API and on-chain data to compute sanity checks and flags such as FDV gap, ghost tokens, and suspicious volume/liquidity ratios.
Use Case: Before listing or interacting with a new token, run an automated screen to quickly filter out likely bad candidates, prioritize promising ones, and route HOT/WARM tokens into a monitoring or outreach pipeline.
Quick Start
Ask the AI to score a contract address and return the classification, score, and triggered rule list.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: token-scorer Download link: https://github.com/buzzbysolcex/buzz-bd-agent/archive/main.zip#token-scorer Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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