rug-checker

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Solana token rug-pull risk analysis. 10-point on-chain check with visual report. Zero API keys. Read-only. Not financial advice.

cacheforge-ai By cacheforge-ai schedule Updated 2/22/2026

name: rug-checker description: > Solana token rug-pull risk analysis. 10-point on-chain check with visual report. Zero API keys. Read-only. Not financial advice. version: 0.1.4 author: Anvil AI tags: [security, crypto, solana, defi, rug-pull, discord, discord-v2] permissions: - network

Rug Checker — Agent Skill Definition

Skill Metadata

Field Value
Slug rug-checker
Version 0.1.3
Author Anvil AI
Category DeFi / Security
Chain Solana
Risk Level Read-only (no wallet interactions)

Activation Triggers

Activate this skill when the user's message matches any of these patterns:

Pattern Example
Rug check / rug pull check "Do a rug check on BONK"
Token safety "Is this token safe?"
Scam check "Is this a scam?"
Token risk analysis "What's the risk on this token?"
Honeypot check "Is this a honeypot?"
Token audit "Audit this token"
LP locked "Is the LP locked on this?"
Mint authority "Can they mint more tokens?"
Token lookup + Solana address "What is DezXAZ8z7PnrnRJjz3wXBoRgixCa6xjnB7YaB1pPB263?"

Note: If the user asks "Should I buy [token]?", redirect: "I can't advise on whether to buy — but I can check the on-chain risk factors for you." Then run the analysis.

Address detection: If the user provides a base58 string of 32-44 characters, treat it as a Solana token address. If they provide a name/symbol, resolve it first.

Agent Workflow

Step 1: Extract the Token

Parse the user's message for either:

  • A Solana address (base58, 32-44 chars matching [1-9A-HJ-NP-Za-km-z]{32,44})
  • A token name or symbol (e.g., "BONK", "bonk", "Wheelchair Fish")

If unclear, ask: "Which token would you like me to check? Give me the contract address or token name."

Step 2: Resolve the Token

bash scripts/detect-token.sh <address_or_name>

Output varies by input type:

If given a Solana address: JSON with found: true/false, address, name, symbol, market data.

If given a name/symbol: JSON with ambiguous: true and a candidates array containing up to 5 matches with address, name, symbol, liquidity, and age. If detect-token returns candidates, you MUST present them to the user and ask which one they mean. NEVER auto-pick a candidate. Checking the wrong token is worse than not checking at all.

Example candidate response:

{
  "query": "bonk",
  "ambiguous": true,
  "candidates": [
    {"address": "DezXAZ8z...", "name": "Bonk", "symbol": "BONK", "liquidity_usd": 5000000, "age": "400d"},
    {"address": "56Lc5...", "name": "BonkFork", "symbol": "BONK", "liquidity_usd": 12000, "age": "3d"}
  ]
}

Present candidates as a numbered list:

I found multiple tokens matching "bonk". Which one did you mean?

  1. BONK (Bonk) — DezXAZ8z... — $5.0M liquidity, 400d old
  2. BONK (BonkFork) — 56Lc5... — $12K liquidity, 3d old

Then re-run with the confirmed mint address.

If found: false (and not ambiguous), tell the user the token couldn't be found and ask them to double-check the address.

Step 3: Run Risk Analysis

bash scripts/analyze-risk.sh <token_address>

Output: JSON with 10 risk checks, composite score (0-100), tier (SAFE/CAUTION/WARNING/DANGER/CRITICAL).

Step 4: Generate Report

bash scripts/analyze-risk.sh <address> | bash scripts/format-report.sh

Or pipe the saved JSON:

bash scripts/format-report.sh < analysis.json

Output: Formatted Markdown report card with visual risk bars, market overview, and links.

Step 5: Present to User

Display the formatted report. Add brief commentary based on the tier:

Tier Commentary Template
🟢 SAFE (0-15) "Low on-chain risk indicators detected. Note: this only covers on-chain factors — team, legal, and market risks are not assessed."
🟡 CAUTION (16-35) "Some yellow flags here. Not necessarily a scam, but proceed with caution and do your own research."
🟠 WARNING (36-55) "Several risk factors detected. Be careful with this one."
🔴 DANGER (56-75) "Significant red flags. This has multiple indicators of a potential rug pull."
⛔ CRITICAL (76-100) "Extreme risk. This token has critical safety issues. Strongly avoid."

Always end with the disclaimer (it's built into format-report.sh). Never use language that implies a buy/sell recommendation (e.g., "looks solid", "good investment", "safe bet").

Discord v2 Delivery Mode (OpenClaw v2026.2.14+)

When running in a Discord channel:

  • Send a compact first message with: token, tier, score, and top 3 risk drivers.
  • Keep the first message under ~1200 characters; avoid rendering the full long report first.
  • If Discord components are available, include quick actions:
    • Show Full Risk Breakdown
    • Show Data Sources
    • Re-Run Check
  • If components are unavailable, provide the same options as a numbered list.
  • For long reports, send in short chunks (<=15 lines) to avoid noisy channel spam.

Error Handling

Error Cause Agent Response
Exit code 2 from detect-token Token not found "I couldn't find that token. Please check the address — it should be a Solana SPL token mint address (32-44 base58 characters)."
Exit code 1 from detect-token API failure "I'm having trouble reaching the token APIs right now. Try again in a minute."
composite_score: -1 All data sources failed "All three data sources are down right now. I can't safely analyze this token without data."
rugcheck unavailable Rugcheck API down Analysis proceeds with DexScreener + Solana RPC (degraded but functional). Note this in your response.
found: true but name "Unknown" Token exists on-chain but has no DEX listings "This token exists on Solana but doesn't appear to be listed on any DEX. It may be too new or a non-tradeable token."

Data Sources

Source What It Provides Required?
Rugcheck.xyz Mint/freeze authority, top holders, LP locks, risk flags, insider detection, verification status Primary (most checks degrade without it)
DexScreener Price, volume, liquidity, FDV, market cap, token age, name resolution Secondary (market context)
Solana RPC On-chain mint/freeze authority verification Tertiary (fallback verification)

Risk Checks (10 points)

# Check Weight What It Detects
1 Mint Authority 2.0 Can creator mint unlimited tokens?
2 Freeze Authority 1.5 Can creator freeze holder wallets?
3 Holder Concentration 1.5 Are tokens concentrated in few wallets?
4 LP Lock Status 2.0 Can liquidity be pulled? (classic rug)
5 Token Age 1.0 How old is the token?
6 Liquidity Depth 1.0 Is there enough liquidity to trade?
7 Rugcheck Flags 1.0 Rugcheck.xyz automated risk flags
8 Insider Activity 1.5 Coordinated wallet networks detected?
9 Transfer Fee 1.0 Hidden tax on transfers?
10 Verification 0.5 Listed on Jupiter?

Safety

⚠️ NOT Financial Advice — This Is Non-Negotiable

This skill provides informational risk signals only. The agent MUST NOT:

  • Recommend buying or selling any token — ever
  • Use language implying a token is a "good buy", "looks solid", or is "safe to invest in"
  • Frame analysis results as investment validation
  • Guarantee any token is safe or unsafe
  • Replace professional financial advice
  • Account for off-chain risks (team, legal, regulatory, market sentiment)

A low risk score means low on-chain risk indicators were detected — it does NOT mean the token is a good investment or free from risk.

🔒 Read-Only

This skill:

  • Never interacts with any wallet
  • Never signs or submits any transaction
  • Never requests private keys or seed phrases
  • Never sends tokens or funds
  • Only reads publicly available on-chain data and public API endpoints

🛡️ No API Keys

All data sources are free, public APIs. No API keys are stored or transmitted.

Example Prompts

"Rug check DezXAZ8z7PnrnRJjz3wXBoRgixCa6xjnB7YaB1pPB263"
"Is BONK safe?"
"Check this token for me: 5smiafTeV4ATT6naUWTwzcsvix4VU9nQ7ReyzKiqpump"
"Is this a rug pull? [address]"
"Analyze the risk on this Solana token"
"Do a safety check on $WIF"

Dependencies

  • bash 4+
  • curl
  • jq
  • bc (for floating-point comparisons)
  • Internet access to: api.rugcheck.xyz, api.dexscreener.com, api.mainnet-beta.solana.com
Install via CLI
npx skills add https://github.com/cacheforge-ai/cacheforge-skills --skill rug-checker
Repository Details
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