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Apechain Reader

Advanced multi-chain wallet analyzer with USD pricing, collection names, ENS support, and sophisticated bot detection across 8 EVM networks. Use when you nee...

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Advanced multi-chain wallet analyzer with USD pricing, collection names, ENS support, and sophisticated bot detection across 8 EVM networks. Use when you nee...

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Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
README-MARKETPLACE.md, SKILL.md, TEST-RESULTS-v2.md, TEST-RESULTS-v3.md, TEST-RESULTS.md, package.json

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

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  2. Extract it into a folder your agent can access.
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New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

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I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
3.1.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 32 sections Open source page

WalletLens

An advanced multi-chain wallet analyzer that provides detailed wallet profiles with USD pricing, human-readable NFT collection names, ENS domain support, and sophisticated bot detection across 8 major EVM networks.

Key Features

Multi-Chain Support: 8 EVM networks with ApeChain as primary focus USD Price Integration: Real-time token prices via CoinGecko with graceful degradation ENS Domain Support: Resolve .eth names across all commands automatically Collection Name Resolution: Human-readable NFT collection names via Alchemy API + RPC fallback Natural Language Summaries: Pretty mode includes intelligent wallet insights Advanced Bot Detection: Sophisticated scoring algorithm to identify automated accounts Reliable Performance: Automatic retry logic with exponential backoff for network resilience Dual Output Formats: JSON (default) for agents, --pretty flag for human-readable output Minimal Dependencies: Uses public RPC endpoints, optional Alchemy API key for enhanced features

Installation

This skill requires Node.js (v16+). No additional dependencies needed - uses built-in fetch API. # Verify Node.js version node --version

Quick Start

Basic wallet lookup on ApeChain: node scripts/wallet-lookup.js 0x8dd6390be6dc732c92b161b9793a3948b56c0126 Same query with human-readable output: node scripts/wallet-lookup.js 0x8dd6390be6dc732c92b161b9793a3948b56c0126 --pretty Cross-chain lookup on Ethereum: node scripts/wallet-lookup.js 0xd8dA6BF26964aF9D7eEd9e03E53415D37aA96045 --chain ethereum --pretty

Commands Reference

All commands support --chain <name> (defaults to apechain) and --pretty flag for human-readable output.

Wallet Lookup

Purpose: Complete wallet profile with balance, transaction count, and NFT activity summary node scripts/wallet-lookup.js <address> [--chain <name>] [--pretty] Returns: Native token balance, transaction count, NFT activity (received/sent), collection count, top holdings Example Output (JSON): { "address": "0x8dd6390be6dc732c92b161b9793a3948b56c0126", "chain": "ApeChain", "chainId": 33139, "isContract": false, "balance": { "APE": 10.1398 }, "transactionCount": 6352, "nftActivity": { "received": 2, "sent": 1 }, "nftCollectionsHeld": 1, "topHoldings": [ { "contract": "0x6f2a21a8b9cf699d7d3a713a9d7cfbb9e9760f97", "count": 2 } ], "explorer": "https://apescan.io/address/0x8dd6390be6dc732c92b161b9793a3948b56c0126" } Example Output (Pretty): πŸ” Wallet: 0x8dd6390be6dc732c92b161b9793a3948b56c0126 ⛓️ Chain: ApeChain (33139) πŸ’° Balance: 10.1398 APE πŸ“Š Transactions: 6,352 🎨 NFT Activity: 2 received, 1 sent πŸ“¦ Collections: 1 πŸ”— Explorer: https://apescan.io/address/0x8dd6390be6dc732c92b161b9793a3948b56c0126

Contract Information

Purpose: Detailed smart contract analysis including type detection and metadata node scripts/contract-info.js <address> [--chain <name>] [--pretty] Returns: Contract type (ERC-20/721/1155), name, symbol, total supply, decimals, owner Use Cases: Token research, contract verification, due diligence

Transaction History

Purpose: Recent transfer activity with timestamps and transaction details node scripts/tx-history.js <address> [--chain <name>] [--limit <number>] [--pretty] Returns: Recent ERC-20 and NFT transfers with direction (IN/OUT), timestamps, contract addresses Use Cases: Activity analysis, transaction tracking, wallet monitoring

NFT Holdings

Purpose: Current NFT collection with detailed token information node scripts/nft-holdings.js <address> [--chain <name>] [--collection <contract>] [--pretty] Returns: NFTs currently held, grouped by collection, token IDs, transfer statistics Use Cases: NFT portfolio analysis, collection tracking, investment research

Bot Detection

Purpose: Advanced behavioral analysis to identify potential automated accounts node scripts/bot-detect.js <address> [--chain <name>] [--pretty] Returns: Bot score (0-100), verdict classification, detailed breakdown of scoring factors Scoring Factors: Wrapped Token Usage (30pts): Frequency of using wrapped native tokens Fast Flipping (25pts): Quick buy-sell cycles within 24 hours Fast Listing (20pts): Immediate listing after purchase (within 30 minutes) Aggressive Pricing (15pts): Price manipulation patterns Cross-Collection Activity (10pts): Activity spread across many collections Score Interpretation: 75-100: Definite bot 60-74: Likely bot 40-59: Suspicious 20-39: Probably human 0-19: Human Use Cases: Due diligence, airdrop filtering, community verification

Supported Networks

See references/CHAINS.md for comprehensive chain information including reliability status and performance characteristics.

Reliable Chains βœ…

ApeChain (primary) - Fastest, most reliable Ethereum - Stable, high-value addresses Base - Fast L2 performance Arbitrum - Reliable L2 with official RPC

Intermittent Chains 🟑

Polygon - May timeout, use with retry logic Optimism - Occasional performance issues BNB Chain - Variable reliability Avalanche - Limited testing, use with caution

Output Formats

All scripts support two output modes:

JSON Format (Default)

Structured data ideal for programmatic consumption and agent workflows: node scripts/wallet-lookup.js <address> # Returns formatted JSON

Pretty Format (Human-Readable)

Clean, emoji-enhanced output for human review: node scripts/wallet-lookup.js <address> --pretty # Returns formatted text with emojis and clear sections

Environment Variables

No environment variables required. The skill uses public RPC endpoints configured in scripts/lib/rpc.js.

Custom RPC Endpoints (Advanced)

To use custom RPC endpoints, modify the CHAINS object in scripts/lib/rpc.js: const CHAINS = { apechain: { id: 33139, rpc: "your-custom-rpc-url", name: "ApeChain", symbol: "APE", explorer: "https://apescan.io" }, // ... other chains };

Automatic Retry Logic

3 retry attempts with exponential backoff (500ms, 1s, 2s) 10-second timeout per request Graceful failure with clean error messages

Input Validation

Address format validation (0x + 40 hex characters) Chain name validation against supported list Clean error messages without stack traces

Common Error Messages

{"error": "Invalid address format. Address must be 0x followed by 40 hexadecimal characters"} {"error": "Unsupported chain \"invalidchain\". Supported chains: apechain, ethereum, base, arbitrum, polygon, optimism, avalanche, bsc"} {"error": "RPC request timed out after 10000ms"}

Response Times

Fast (< 1s): ApeChain, Arbitrum Good (1-2s): Ethereum, Base Variable (1-5s): Polygon, Optimism, BSC, Avalanche

Data Coverage

Recent Activity: 500K-2M blocks depending on chain performance Historical Limitations: Very old transactions may not appear NFT Detection: ERC-721 and ERC-1155 support via Transfer events Bot Analysis: Requires minimum 3 NFT purchases for scoring

Resource Usage

Memory: Minimal - processes data in streams Network: Burst usage during queries, then idle CPU: Low - mostly I/O bound operations

Network Issues

# If RPC timeouts occur, try different chain: node scripts/wallet-lookup.js <address> --chain ethereum # For intermittent chains, retry usually succeeds: node scripts/wallet-lookup.js <address> --chain polygon

Empty Results

Verify address is active on the selected chain Try different chain if cross-chain activity expected Increase block scan range for older activity

Performance Optimization

Use --limit parameter to reduce transaction history size Choose reliable chains (ApeChain, Ethereum, Base, Arbitrum) for consistent performance Monitor response times and adjust expectations per chain

Batch Analysis

# Analyze multiple addresses for addr in 0xaddr1 0xaddr2 0xaddr3; do echo "=== Analysis for $addr ===" node scripts/wallet-lookup.js $addr --pretty node scripts/bot-detect.js $addr --pretty echo done

Cross-Chain Investigation

# Check same address across multiple chains for chain in apechain ethereum base arbitrum; do echo "=== $chain ===" node scripts/wallet-lookup.js 0x8dd6390be6dc732c92b161b9793a3948b56c0126 --chain $chain --pretty done

Collection Analysis

# Focus on specific NFT collection node scripts/nft-holdings.js <address> --collection 0x<contract> --pretty

References

Chain Details: references/CHAINS.md - Comprehensive chain status and performance data Bot Scoring: references/bot-scoring.md - Detailed bot detection methodology

Version History

v2.0: Added retry logic, input validation, pretty formatting, comprehensive chain documentation v1.0: Initial release with basic multi-chain support and bot detection Need help? Check the references directory for detailed documentation or run any command without arguments for usage instructions.

Category context

Agent frameworks, memory systems, reasoning layers, and model-native orchestration.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
5 Docs1 Config
  • SKILL.md Primary doc
  • README-MARKETPLACE.md Docs
  • TEST-RESULTS-v2.md Docs
  • TEST-RESULTS-v3.md Docs
  • TEST-RESULTS.md Docs
  • package.json Config