ranbot-ai/crypto-bd-agent
skills/crypto-bd-agent/SKILL.md
Production-tested patterns for building AI agents that autonomously discover, > evaluate, and acquire token listings for cryptocurrency exchanges.
$ install --global
skillsauthnpx skillsauth add ranbot-ai/awesome-skills crypto-bd-agentInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: Apr 22, 2026, 2:46 PM140.0s1 file scanned
SKILL.md
- name:
- crypto-bd-agent
- description:
- Production-tested patterns for building AI agents that autonomously discover, > evaluate, and acquire token listings for cryptocurrency exchanges.
- category:
- Security & Systems
- source:
- antigravity
- tags:
- [api, ai, agent, llm, workflow, design, security, vulnerability, rag, cro]
- url:
- https://github.com/sickn33/antigravity-awesome-skills/tree/main/skills/crypto-bd-agent
Crypto BD Agent — Autonomous Business Development for Exchanges
Production-tested patterns for building AI agents that autonomously discover, evaluate, and acquire token listings for cryptocurrency exchanges.
Overview
This skill teaches AI agents systematic crypto business development: discover promising tokens across chains, score them with a 100-point weighted system, verify safety through wallet forensics, and manage outreach pipelines with human-in-the-loop oversight.
Built from production experience running Buzz BD Agent by SolCex Exchange — an autonomous agent on decentralized infrastructure with 13 intelligence sources, x402 micropayments, and dual-chain ERC-8004 registration.
Reference implementation: https://github.com/buzzbysolcex/buzz-bd-agent
When to Use This Skill
- Building an AI agent for crypto/DeFi business development
- Creating token evaluation and scoring systems
- Implementing multi-chain scanning pipelines
- Setting up autonomous payment workflows (x402)
- Designing wallet forensics for deployer analysis
- Managing BD pipelines with human-in-the-loop
- Registering agents on-chain via ERC-8004
- Implementing cost-efficient LLM cascades
Do Not Use When
- Building trading bots (this is BD, not trading)
- Creating DeFi protocols or smart contracts
- Non-crypto business development
Architecture
Intelligence Sources (Free + Paid via x402)
|
v
Scoring Engine (100-point weighted)
|
v
Wallet Forensics (deployer verification)
|
v
Pipeline Manager (10-stage tracked)
|
v
Outreach Drafts → Human Approval → Send
LLM Cascade Pattern
Route tasks to the cheapest model that handles them correctly:
Fast/cheap model (routine: tweets, forum posts, pipeline updates)
↓ fallback on quality issues
Free API models (scanning, initial scoring, system tasks)
↓ fallback
Mid-tier model (outreach drafts, deeper analysis)
↓ fallback
Premium model (strategy, wallet forensics, final outreach)
Run a quality gate (10+ test cases) before promoting any new model.
1. Intelligence Gathering
Free-First Principle
Always exhaust free data before paying. Target: $0/day for 90% of intelligence.
Recommended Source Categories
| Category | What to Track | Example Sources | |----------|--------------|-----------------| | DEX Data | Prices, liquidity, pairs, chain coverage | DexScreener, GeckoTerminal | | AI Momentum | Trending tokens, catalysts | AIXBT or similar trackers | | Smart Money | VC follows, KOL accumulation | leak.me, Nansen free, Arkham | | Contract Safety | Rug scores, LP lock, authorities | RugCheck | | Wallet Forensics | Deployer analysis, fund flow | Helius (Solana), Allium (multi-chain) | | Web Scraping | Project verification, team info | Firecrawl or similar | | On-Chain Identity | Agent registration, trust signals | ATV Web3 Identity, ERC-8004 | | Community | Forum signals, ecosystem intel | Protocol forums |
Paid Sources (via x402 micropayments)
- Whale alert services (~$0.10/call, 1-2x daily)
- Breaking news aggregators (~$0.10/call, 2x daily)
- Budget: ~$0.30/day = ~$9/month
Rules
- Cross-reference: every prospect needs 2+ independent source confirmations
- Multi-source cross-match gets +5 score bonus
- Track ROI per paid source — did this call produce a qualified prospect?
- Store insights in experience memory for continuous calibration
2. Token Scoring (100 Points)
Base Criteria
| Factor | Weight | Scoring | |--------|--------|---------| | Liquidity | 25% | >$500K excellent, $200-500K good, $100K minimum | | Market Cap | 20% | >$10M excellent, $1-10M good, $500K-1M acceptable | | 24h Volume | 20% | >$1M excellent, $500K-1M good, $100-500K acceptable | | Social Metrics | 15% | Multi-platform active, 2+ platforms, 1 platform | | Token Age | 10% | Established >6mo, moderate 1-6mo, new <1mo | | Team Transparency | 10% | Doxxed + active, partial, anonymous |
Catalyst Adjustments
Positive: Hackathon win +10, mainnet launch +10, major partnership +10, CEX listing +8, audit +8, multi-source match +5, whale signal +5, wallet verified +3-5, cross-chain deployer +3, net positive wallet +2.
Negative: Rugpull association -15, exploit history -15, mixer funded AUTO REJECT, contract vulnerability -10, serial creator -5, already on major CEXs -5, team controversy -10, deployer dump >50% in 7 days -10 to -15.
Score Actions
| Range | Action | |-------|--------| | 85-100 HOT | Immediate outreach + wallet forensics | | 70-84 Qualified | Priority queue + wallet forensics | | 50-69 Watch | Monitor 48 hours | | 0-49 Skip | Log only, no action |
3. Wallet Forensics
Run on every token scoring 70+. This differentiates serious BD agents from simple scanners.
5-Step Deployer Analysis
- Funded-By — Where did deployer get funds? (exchange, mixer, other wallet)
- Balances — Current holdings across chains
-
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