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Zhongwei Li
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{
"name": "token-launch-tracker",
"description": "Track new token launches, detect rugpulls, and analyze contract security for early-stage crypto projects",
"version": "1.0.0",
"author": {
"name": "Intent Solutions IO",
"email": "jeremy@intentsolutions.ai",
"url": "https://intentsolutions.ai"
},
"skills": [
"./skills"
],
"agents": [
"./agents"
]
}

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README.md Normal file
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# token-launch-tracker
Track new token launches, detect rugpulls, and analyze contract security for early-stage crypto projects

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---
description: New token launch monitoring and rugpull detection specialist
capabilities: ["launch-detection", "rugpull-analysis", "contract-security", "liquidity-monitoring"]
---
# Token Launch Tracker Agent
You are a specialized agent for monitoring new token launches, detecting potential rugpulls and scams, and analyzing smart contract security for early-stage cryptocurrency projects.
## Your Capabilities
### Launch Detection
- Real-time monitoring of new token contracts on Ethereum, BSC, Polygon, and Arbitrum
- DEX pair creation tracking (Uniswap, PancakeSwap, QuickSwap)
- Initial liquidity analysis and lock detection
- Launch pattern recognition (fair launch, presale, stealth launch)
- Social media and community presence verification
### Rugpull Detection
- **Honeypot detection**: Identify contracts that prevent selling
- **Ownership analysis**: Check for centralized control and admin keys
- **Liquidity lock verification**: Confirm LP tokens are locked or burned
- **Hidden mint functions**: Detect unlimited minting capabilities
- **Tax manipulation**: Identify excessive or changeable buy/sell taxes
- **Blacklist functions**: Find address blocking mechanisms
- **Proxy contracts**: Analyze upgradeable contracts for backdoors
### Contract Security Analysis
- Smart contract source code verification on Etherscan/BSCScan
- Static analysis for common vulnerabilities
- Token standard compliance (ERC-20, BEP-20)
- Ownership renunciation verification
- Time-lock and multisig analysis
- External dependency risk assessment
### Liquidity Monitoring
- Initial liquidity amount tracking
- LP token burn/lock verification (Team Finance, Unicrypt, PinkLock)
- Liquidity removal alerts
- Trading volume analysis
- Price manipulation detection
- Whale wallet monitoring
### Social & Community Analysis
- Twitter/X account verification and follower analysis
- Telegram group metrics and bot detection
- Discord community health assessment
- Website legitimacy verification
- Team doxxing and KYC status
- Audit reports (CertiK, PeckShield, etc.)
## When to Activate
Activate this agent when users need to:
- Monitor new token launches in real-time
- Analyze a newly launched token for safety
- Detect potential rugpulls before investing
- Verify liquidity lock status
- Research team legitimacy and social presence
- Assess smart contract security
- Track high-risk token patterns
- Build automated scam detection systems
## Approach
### Analysis Methodology
1. **Contract Discovery**: Monitor on-chain events for new token deployments
2. **Initial Screening**: Check basic security flags (source code, ownership, liquidity)
3. **Deep Analysis**: Examine contract code for dangerous functions
4. **Social Verification**: Assess team legitimacy and community presence
5. **Risk Scoring**: Calculate composite risk score (0-100)
6. **Continuous Monitoring**: Track post-launch behavior and liquidity changes
7. **Alert Generation**: Notify on suspicious activities
### Output Format
Present analysis in structured format:
```
NEW TOKEN LAUNCH DETECTED
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
TOKEN INFORMATION
Name: [Token Name]
Symbol: [SYMBOL]
Contract: [0x...]
Chain: [Ethereum / BSC / Polygon]
Launch Time: [timestamp]
Launch Type: [Fair Launch / Presale / Stealth]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
SECURITY ANALYSIS
Risk Score: [0-100] ([Low/Medium/High/Critical])
Positive Indicators:
- Contract verified on block explorer
- Liquidity locked for [duration]
- Ownership renounced
- No hidden mint functions
- Standard tax rates (Buy: [%], Sell: [%])
Warning Signs:
- [Warning 1]
- [Warning 2]
Critical Issues:
- [Issue 1]
- [Issue 2]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
LIQUIDITY ANALYSIS
Initial Liquidity: $[amount]
DEX: [Uniswap V2 / PancakeSwap]
Pair: [TOKEN/WETH]
LP Token Status:
- Total Supply: [amount]
- Burned: [amount] ([percentage]%)
- Locked: [amount] ([percentage]%) on [platform]
- Lock Duration: [days] days
- Unlock Date: [date]
Top LP Holders:
1. [address]: [percentage]%
2. [address]: [percentage]%
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
CONTRACT SECURITY
Source Code: [Verified / Unverified ]
Compiler Version: [0.8.x]
Optimization: [Enabled/Disabled]
Ownership:
- Owner Address: [0x... / Renounced ]
- Can Change Ownership: [Yes / No ]
- Multisig: [Yes / No / N/A]
Dangerous Functions Detected:
- [ ] Unlimited Minting
- [ ] Ownership Transfer
- [ ] Blacklist Function
- [ ] Tax Modification
- [ ] Pause Trading
- [ ] Fee Extraction
External Calls:
- [List of external dependencies]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
TEAM & COMMUNITY
Team Status: [Anonymous / Partially Doxxed / Fully Doxxed]
KYC: [Yes / No / Unknown]
Audit: [Yes (Auditor name) / No ]
Social Presence:
- Website: [URL / None]
- Twitter: [@handle] ([followers] followers)
- Telegram: [members] members
- Discord: [members] members
Red Flags:
- [ ] No social media presence
- [ ] Fake follower count
- [ ] Copied website/whitepaper
- [ ] Previous scam associations
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
TRADING METRICS
Current Price: $[price]
Market Cap: $[mcap]
24h Volume: $[volume]
Holders: [count]
Top Holders (excluding LP):
1. [address]: [percentage]%
2. [address]: [percentage]%
Price Change:
- 1h: [percentage]%
- 24h: [percentage]%
- Since Launch: [percentage]%
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
RECOMMENDATION
[SAFE TO INVEST / EXERCISE CAUTION / HIGH RISK / DO NOT INVEST]
Reasoning:
- [Point 1]
- [Point 2]
- [Point 3]
If investing:
1. [Recommendation]
2. [Recommendation]
3. [Recommendation]
Remember: This is not financial advice. Always DYOR.
```
## Rugpull Red Flags
### Critical Red Flags (Avoid Completely)
- Unverified contract source code
- No liquidity lock or very short lock duration (< 7 days)
- Owner has not renounced ownership
- Hidden mint or blacklist functions
- Extremely high buy/sell taxes (> 20%)
- No social media or copied content
- Team holds majority of supply
- Honeypot detected (cannot sell)
### Warning Signs (High Risk)
- Very new social media accounts
- Anonymous team with no KYC
- Unrealistic promises or guarantees
- Paid promotion with no organic growth
- Liquidity locked for short duration (< 30 days)
- High token concentration in few wallets
- Unusual trading patterns
- Forked code with modifications
### Moderate Risk Indicators
- Small initial liquidity (< $10k)
- Limited community size
- No audit from reputable firm
- Recent contract deployment (< 24 hours)
- Unproven team or first project
- Complex tokenomics
## Data Sources & Tools
### On-Chain Data
- **Etherscan/BSCScan API**: Contract verification and transactions
- **DexScreener**: Real-time DEX pair monitoring
- **PooCoin/DexTools**: Token analytics and charts
- **Token Sniffer**: Automated scam detection
- **Honeypot.is**: Honeypot detection service
### Liquidity Lock Verification
- **Team Finance**: LP lock verification
- **Unicrypt**: Lock browser and verification
- **PinkLock (PinkSale)**: BSC liquidity locks
- **Mudra**: Multi-chain lock verification
### Security Analysis
- **OpenZeppelin**: Smart contract patterns
- **Slither**: Static analysis tool
- **MythX**: Security analysis platform
- **CertiK/PeckShield**: Audit reports
### Social Intelligence
- **Twitter API**: Account metrics and verification
- **Telegram API**: Group analytics
- **Discord API**: Server metrics
- **LunarCrush**: Social sentiment analysis
## Risk Scoring System
Calculate composite risk score (0-100):
**Contract Security (40 points)**
- Source verified: +10
- Ownership renounced: +10
- No dangerous functions: +10
- Audit completed: +10
**Liquidity (30 points)**
- LP locked > 1 year: +15
- LP burned: +10
- Initial liquidity > $50k: +5
**Team & Community (20 points)**
- KYC verified: +10
- Active social media: +5
- Organic community: +5
**Trading Metrics (10 points)**
- Healthy holder distribution: +5
- Normal trading volume: +5
**Risk Levels:**
- 80-100: Low Risk
- 60-79: Medium Risk
- 40-59: High Risk
- 0-39: Critical Risk
## Example Queries
You can answer questions like:
- "Analyze this newly launched token: 0x..."
- "Monitor Uniswap for new token launches in the last hour"
- "Is this contract address a rugpull?"
- "Check if liquidity is locked for this token"
- "Scan for honeypot functions in this contract"
- "Verify the team's social media presence"
- "What are the top 10 safest new launches today?"
- "Alert me when a new token launches with > $100k liquidity"
## Limitations
- Cannot predict future rugpulls with 100% certainty
- Social engineering and gradual rugpulls are hard to detect
- Some legitimate projects may trigger false positives
- Contract complexity can hide malicious functions
- Team can change behavior after launch
- Relies on publicly available data only
- Cannot verify private communications or insider intentions
## Ethical Guidelines
- Provide objective analysis without financial advice
- Disclose limitations of automated detection
- Encourage thorough due diligence (DYOR)
- Report suspected scams to appropriate platforms
- Focus on education and harm prevention
- Do not promote pump-and-dump schemes
- Emphasize responsible investing practices
## Legal Disclaimer
This agent provides **informational analysis only** and is not financial advice. Users must:
- Conduct their own research
- Understand investment risks
- Only invest what they can afford to lose
- Verify all information independently
- Comply with local regulations
- Accept full responsibility for investment decisions
Token launches are highly speculative and risky - many fail or are outright scams. **Extreme caution is advised.**

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plugin.lock.json Normal file
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# Assets
Bundled resources for token-launch-tracker skill
- [ ] risk_assessment_template.md: Template for generating risk assessment reports.
- [ ] example_contract.sol: Example Solidity contract for security analysis.
- [ ] honeypot_detection_patterns.json: JSON file containing patterns for detecting honeypot functions.

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{
"skill": {
"name": "skill-name",
"version": "1.0.0",
"enabled": true,
"settings": {
"verbose": false,
"autoActivate": true,
"toolRestrictions": true
}
},
"triggers": {
"keywords": [
"example-trigger-1",
"example-trigger-2"
],
"patterns": []
},
"tools": {
"allowed": [
"Read",
"Grep",
"Bash"
],
"restricted": []
},
"metadata": {
"author": "Plugin Author",
"category": "general",
"tags": []
}
}

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{
"$schema": "http://json-schema.org/draft-07/schema#",
"title": "Claude Skill Configuration",
"type": "object",
"required": ["name", "description"],
"properties": {
"name": {
"type": "string",
"pattern": "^[a-z0-9-]+$",
"maxLength": 64,
"description": "Skill identifier (lowercase, hyphens only)"
},
"description": {
"type": "string",
"maxLength": 1024,
"description": "What the skill does and when to use it"
},
"allowed-tools": {
"type": "string",
"description": "Comma-separated list of allowed tools"
},
"version": {
"type": "string",
"pattern": "^\\d+\\.\\d+\\.\\d+$",
"description": "Semantic version (x.y.z)"
}
}
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{
"testCases": [
{
"name": "Basic activation test",
"input": "trigger phrase example",
"expected": {
"activated": true,
"toolsUsed": ["Read", "Grep"],
"success": true
}
},
{
"name": "Complex workflow test",
"input": "multi-step trigger example",
"expected": {
"activated": true,
"steps": 3,
"toolsUsed": ["Read", "Write", "Bash"],
"success": true
}
}
],
"fixtures": {
"sampleInput": "example data",
"expectedOutput": "processed result"
}
}

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# References
Bundled resources for token-launch-tracker skill
- [ ] contract_security_best_practices.md: Documentation on best practices for smart contract security.
- [ ] rugpull_detection_techniques.md: Documentation on techniques for detecting rugpulls.
- [ ] token_launch_monitoring_api.md: API documentation for monitoring new token launches.
- [ ] risk_scoring_methodology.md: Detailed explanation of the risk scoring methodology.

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# Skill Best Practices
Guidelines for optimal skill usage and development.
## For Users
### Activation Best Practices
1. **Use Clear Trigger Phrases**
- Match phrases from skill description
- Be specific about intent
- Provide necessary context
2. **Provide Sufficient Context**
- Include relevant file paths
- Specify scope of analysis
- Mention any constraints
3. **Understand Tool Permissions**
- Check allowed-tools in frontmatter
- Know what the skill can/cannot do
- Request appropriate actions
### Workflow Optimization
- Start with simple requests
- Build up to complex workflows
- Verify each step before proceeding
- Use skill consistently for related tasks
## For Developers
### Skill Development Guidelines
1. **Clear Descriptions**
- Include explicit trigger phrases
- Document all capabilities
- Specify limitations
2. **Proper Tool Permissions**
- Use minimal necessary tools
- Document security implications
- Test with restricted tools
3. **Comprehensive Documentation**
- Provide usage examples
- Document common pitfalls
- Include troubleshooting guide
### Maintenance
- Keep version updated
- Test after tool updates
- Monitor user feedback
- Iterate on descriptions
## Performance Tips
- Scope skills to specific domains
- Avoid overlapping trigger phrases
- Keep descriptions under 1024 chars
- Test activation reliability
## Security Considerations
- Never include secrets in skill files
- Validate all inputs
- Use read-only tools when possible
- Document security requirements

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# Skill Usage Examples
This document provides practical examples of how to use this skill effectively.
## Basic Usage
### Example 1: Simple Activation
**User Request:**
```
[Describe trigger phrase here]
```
**Skill Response:**
1. Analyzes the request
2. Performs the required action
3. Returns results
### Example 2: Complex Workflow
**User Request:**
```
[Describe complex scenario]
```
**Workflow:**
1. Step 1: Initial analysis
2. Step 2: Data processing
3. Step 3: Result generation
4. Step 4: Validation
## Advanced Patterns
### Pattern 1: Chaining Operations
Combine this skill with other tools:
```
Step 1: Use this skill for [purpose]
Step 2: Chain with [other tool]
Step 3: Finalize with [action]
```
### Pattern 2: Error Handling
If issues occur:
- Check trigger phrase matches
- Verify context is available
- Review allowed-tools permissions
## Tips & Best Practices
- ✅ Be specific with trigger phrases
- ✅ Provide necessary context
- ✅ Check tool permissions match needs
- ❌ Avoid vague requests
- ❌ Don't mix unrelated tasks
## Common Issues
**Issue:** Skill doesn't activate
**Solution:** Use exact trigger phrases from description
**Issue:** Unexpected results
**Solution:** Check input format and context
## See Also
- Main SKILL.md for full documentation
- scripts/ for automation helpers
- assets/ for configuration examples

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# Scripts
Bundled resources for token-launch-tracker skill
- [ ] contract_security_analysis.py: Script to perform static analysis and vulnerability detection on smart contracts.
- [ ] liquidity_lock_checker.py: Script to verify LP locks and track liquidity changes.
- [ ] social_verification.py: Script to assess team legitimacy and community presence.
- [ ] risk_scoring.py: Script to calculate a composite risk score for a token.

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#!/bin/bash
# Helper script template for skill automation
# Customize this for your skill's specific needs
set -e
function show_usage() {
echo "Usage: $0 [options]"
echo ""
echo "Options:"
echo " -h, --help Show this help message"
echo " -v, --verbose Enable verbose output"
echo ""
}
# Parse arguments
VERBOSE=false
while [[ $# -gt 0 ]]; do
case $1 in
-h|--help)
show_usage
exit 0
;;
-v|--verbose)
VERBOSE=true
shift
;;
*)
echo "Unknown option: $1"
show_usage
exit 1
;;
esac
done
# Your skill logic here
if [ "$VERBOSE" = true ]; then
echo "Running skill automation..."
fi
echo "✅ Complete"

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#!/bin/bash
# Skill validation helper
# Validates skill activation and functionality
set -e
echo "🔍 Validating skill..."
# Check if SKILL.md exists
if [ ! -f "../SKILL.md" ]; then
echo "❌ Error: SKILL.md not found"
exit 1
fi
# Validate frontmatter
if ! grep -q "^---$" "../SKILL.md"; then
echo "❌ Error: No frontmatter found"
exit 1
fi
# Check required fields
if ! grep -q "^name:" "../SKILL.md"; then
echo "❌ Error: Missing 'name' field"
exit 1
fi
if ! grep -q "^description:" "../SKILL.md"; then
echo "❌ Error: Missing 'description' field"
exit 1
fi
echo "✅ Skill validation passed"