token-holder-analysis

Name: token-holder-analysis
Availability: InStock
Author: agiprolabs

Analyze Solana token holder distribution and concentration metrics for insider risks.

266|54|Updated Mar 11, 2026

Search Tags:#risk assessment #token analysis #solana #holder distribution #concentration metrics #insider detection

Ready to run

npx skills add https://github.com/agiprolabs/claude-trading-skills --skill token-holder-analysis

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: token-holder-analysis
Source: https://github.com/agiprolabs/claude-trading-skills/tree/main/skills/token-holder-analysis
Command: npx skills add https://github.com/agiprolabs/claude-trading-skills --skill token-holder-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires httpx, math, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps traders and analysts assess the risk associated with a token's ownership structure, identifying potential red flags before investing.

Core Features & Use Cases

Concentration Metrics: Calculate Gini coefficient, HHI, and Nakamoto coefficient to quantify ownership inequality.
Insider Detection: Identify patterns like bundler activity, sniper entries, and developer holdings.
Use Case: Before buying a new Solana token, use this Skill to check if the top 10 holders control over 70% of the supply, or if a significant portion of tokens were acquired by early "bundlers," indicating high dump risk.

Quick Start

Analyze the token holder distribution and risk for the token with mint address 'TOKEN_MINT'.

Frequently Asked Questions about token-holder-analysis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I analyze Solana token holder distribution to detect insider concentration?▼

To analyze Solana token holder distribution, you calculate concentration metrics like the Gini coefficient, HHI, and Nakamoto coefficient to quantify ownership inequality. This identifies insider risks by evaluating top holder supply control, bundler activity, and developer holdings.

What is bundler activity and how does it affect token risk assessment?▼

Bundler activity in token risk assessment is an insider pattern where a significant portion of tokens is acquired early by specific actors. Detecting bundler activity alongside sniper entries helps identify high dump risks before investing in a Solana token.

How do I check if the top 10 holders control over 70% of a Solana token's supply?▼

Checking if top holders control a majority of a token's supply involves calculating concentration metrics like the Nakamoto coefficient. This quantifies ownership inequality and identifies whether top 10 holders pose a high dump risk due to excessive supply control.

Can I use Helius and Birdeye APIs to identify sniper entries in token holder data?▼

Yes, you can use Helius and Birdeye APIs alongside Solana RPC and SolanaTracker to identify sniper entries in token holder data. Pulling data from these APIs allows you to detect early insider patterns and assess ownership concentration risks.

What are the limitations of using concentration metrics for Solana token risk assessment?▼

A limitation of using concentration metrics for Solana token risk assessment is that numerical distribution scores alone may not reveal disguised insider networks. You must also evaluate qualitative insider patterns like bundler activity and developer holdings to avoid missing hidden dump risks.