nft-portfolio-tracker_skill

This skill tracks NFT holdings across wallets, computes floor price and total value, and analyzes profits to help optimize portfolio decisions.
  • Python

2.5k

GitHub Stars

5

Bundled Files

2 months ago

Catalog Refreshed

3 months ago

First Indexed

Readme & install

Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.

Installation

Preview and clipboard use veilstrat where the catalogue uses aiagentskills.

npx veilstrat add skill openclaw/skills --skill nft-portfolio-tracker

  • _meta.json301 B
  • index.js733 B
  • package.json51 B
  • SKILL.md749 B
  • skill.yaml197 B

Overview

This skill tracks NFT portfolios across multiple wallets, computes collection floor prices, and provides profit and loss analysis. It supports whale monitoring to detect large-holder activity and charges 0.001 USDT per call. The tool is designed for quick portfolio snapshots and actionable alerts.

How this skill works

You request specific actions (portfolio, floor, profit) with wallet addresses or collection identifiers. The skill queries marketplace and on-chain data, consolidates NFT holdings, fetches current floor prices, and calculates total value and ROI. Whale monitoring watches for significant transfers or concentration changes and reports alerts.

When to use it

  • Checking total NFT holdings and current market value for one or more wallets
  • Getting live floor price for a specific NFT collection
  • Calculating realized/unrealized profit and ROI for a wallet
  • Monitoring large holder (whale) movements in watched collections
  • Generating quick snapshots before trading or portfolio rebalancing

Best practices

  • Provide canonical wallet addresses and collection slugs to ensure accurate lookups
  • Run portfolio queries after major marketplace updates to capture new listings or sales
  • Combine floor price checks with portfolio snapshots to estimate liquidity risk
  • Use whale monitoring to validate sudden market moves before reacting
  • Account for the 0.001 USDT per-call fee when automating frequent requests

Example use cases

  • Query a wallet: { action: "portfolio", address: "0x..." } to get holdings and total value
  • Fetch collection floor: { action: "floor", collection: "bored-ape" } for real-time floor price
  • Profit check: { action: "profit", address: "0x..." } to compute ROI and realized gains
  • Set alerts to notify when a whale moves more than a threshold number of tokens in a collection
  • Compare multiple wallets quickly to prepare a trade or liquidation plan

FAQ

Each call automatically charges 0.001 USDT; factor this into batch or automated workflows.

Where does pricing data come from?

The skill aggregates marketplace listings and on-chain transfers to determine current floor prices and valuations.

Built by
VeilStrat
AI signals for GTM teams
© 2026 VeilStrat. All rights reserved.All systems operational