Nansen Wallet Profiler logo

Nansen Wallet Profiler

OrganizationPopular
internet-court
nansen-wallet-profiler

Wallet profiler — balance, PnL, labels, transactions, counterparties, related wallets, batch, trace, compare. Use when analysing a specific wallet address or comparing wallets.

Overview

Publisherinternet-court
Repositoryinternet-court-skill
Skill namenansen-wallet-profiler
Stars
5.8K
Forks
106
Bundled files
Instructions only
Links
Skill sourceRepository
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by internet-court on GitHub. Read the source before you install it.

Installation

Install the Nansen Wallet Profiler AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/internet-court/internet-court-skill.git /tmp/internet-court-skill
mkdir -p .claude/skills
cp -r /tmp/internet-court-skill/vendored/nansen/nansen-wallet-profiler .claude/skills/nansen-wallet-profiler
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Nansen Wallet Profiler in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Nansen Wallet Profiler on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Nansen Wallet Profiler is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Wallet Profiler

All commands: nansen research profiler <sub> [options]

--address and --chain required for most commands.

Balance & Identity

bash
nansen research profiler balance --address <addr> --chain ethereum
nansen research profiler labels --address <addr> --chain ethereum
nansen research profiler search --query "Vitalik"

PnL

bash
nansen research profiler pnl --address <addr> --chain ethereum --days 30
nansen research profiler pnl-summary --address <addr> --chain ethereum

Transactions & History

bash
nansen research profiler transactions --address <addr> --chain ethereum --limit 20
nansen research profiler historical-balances --address <addr> --chain solana --days 30

Relationships

bash
nansen research profiler related-wallets --address <addr> --chain ethereum
nansen research profiler counterparties --address <addr> --chain ethereum --days 30

Perps (no --chain)

bash
nansen research profiler perp-positions --address <addr>
nansen research profiler perp-trades --address <addr> --days 7

Batch, Trace & Compare

bash
# Batch — profile multiple wallets at once
nansen research profiler batch \
  --addresses "0xabc,0xdef" --chain ethereum \
  --include labels,balance,pnl

# Trace — BFS multi-hop counterparty trace (makes N*width API calls)
nansen research profiler trace --address <addr> --chain ethereum --depth 2 --width 5

# Compare — shared counterparties and tokens between two wallets
nansen research profiler compare --addresses "0xabc,0xdef" --chain ethereum

Flags

FlagPurpose
--addressWallet address (required)
--chainRequired except for perps and search
--daysLookback period (default 30)
--limitNumber of results
--includeBatch fields: labels,balance,pnl
--depthTrace depth 1-5 (default 2)
--widthTrace width — keep low to save credits
--fieldsSelect specific fields
--tableHuman-readable table output
--format csvCSV export

Notes

  • pnl-summary has no pagination support (returns aggregate stats, not a list).
  • perp-positions has no pagination support.
  • labels has no pagination support — the API ignores per_page and always returns all labels for the address. --limit is not available for this sub-command.
  • transactions caps at per_page=100 (API limit).
  • trace makes many API calls — use --width conservatively.
  • batch accepts --file <path> with one address per line as alternative to --addresses.

Frequently asked questions

What does the Nansen Wallet Profiler AI skill do?

Wallet profiler — balance, PnL, labels, transactions, counterparties, related wallets, batch, trace, compare. Use when analysing a specific wallet address or comparing wallets.

Why use Nansen Wallet Profiler on TypingMind?

Because you install it once and use it with any model. Nansen Wallet Profiler is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Nansen Wallet Profiler in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/internet-court/internet-court-skill/tree/main/vendored/nansen/nansen-wallet-profiler. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Nansen Wallet Profiler?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Nansen Wallet Profiler?

As many as you like. As long as a model supports skills, you can use Nansen Wallet Profiler with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Nansen Wallet Profiler AI skill free?

It is published on GitHub by internet-court. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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