Skills solana-scam-detector

Detect scam tokens on Solana before you trade. Checks ticker patterns, token age, and known scam mints. Read-only — no wallet signing required.

install

source · Clone the upstream repo

git clone https://github.com/openclaw/skills

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/ammkode/solana-scam-detector" ~/.claude/skills/clawdbot-skills-solana-scam-detector && rm -rf "$T"

manifest: skills/ammkode/solana-scam-detector/SKILL.md

source content

Solana Scam Detector

Read-only scam detection for Solana tokens. No wallet signing required.

What It Does

Token Age Check — Flags tokens younger than threshold
Ticker Pattern Check — Flags fake stock tokens (META, AAPL, etc.)
Mint Blacklist — Check against known scam mints

Read-Only

This module only reads blockchain data. It does NOT:

❌ Require wallet key file
❌ Require Telegram ID
❌ Store trade history
❌ Send any transactions

Installation

npm install @solana/web3.js

Configuration

Required: None (uses default public RPC)

Optional (agent can ask user):

```
RPC_URL
```
— Custom RPC endpoint (default: public RPC)
```
MIN_TOKEN_AGE_HOURS
```
— Minimum hours (default: 4)

Usage

const { checkTokenSafety, isValidSolanaAddress } = require('./lib/scam_check.js');

// Validate address first
if (!isValidSolanaAddress(mint)) {
  console.log('Invalid address');
  return;
}

// Check token
const result = await checkTokenSafety(mint, symbol);
console.log(result);
// { safe: true, issues: [], config: {...} }

Agent Instructions

Keep it simple — this is read-only:

Use default public RPC or ask user for their RPC URL
Optionally ask user for MIN_TOKEN_AGE_HOURS preference
Optionally allow user to add to BLACKLIST_EXACT / BLACKLIST_MINTS
Never ask for wallet key, Telegram ID, or trade history

Files

```
lib/scam_check.js
```
— Main detection logic (read-only)
```
lib/config.js
```
— Minimal config (RPC URL only)
```
SKILL.md
```
— This file