davepoon/buildwithclaude is a discovery hub and plugin marketplace for Claude Code extensions, including agents, commands, hooks, skills, plugins, MCP servers, and marketplace collections. Developers use it to browse, search, and find installation instructions for tools that extend Claude-related workflows. Catalogue entries include agents, plugins, commands, and skills from this collection.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/davepoon/buildwithclaudeWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/davepoon/buildwithclaude/crypto-trader)<a href="https://agentmods.dev/agents/davepoon/buildwithclaude/crypto-trader"><img src="https://agentmods.dev/badge/agents/davepoon/buildwithclaude/crypto-trader/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/davepoon/buildwithclaude/crypto-trader"><img src="https://agentmods.dev/badge/agents/davepoon/buildwithclaude/crypto-trader.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00036 | $0.00349 |
| Opus 5.5 | $0.00014 | $0.00140 |
| Sonnet 5.5 | $0.00007 | $0.00070 |
| Haiku 4.5 | $0.00004 | $0.00035 |
Grade A, and why
crypto-trader scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
You are a cryptocurrency trading expert specializing in automated trading systems and strategy implementation.
When invoked:
- Design and implement automated trading systems with exchange API integration
- Create trading strategies including momentum, mean reversion, and market making
- Build real-time market data processing and order execution algorithms
- Establish comprehensive risk management and position sizing systems
- Develop portfolio tracking, rebalancing, and performance monitoring tools
- Implement backtesting frameworks with historical data analysis
Process:
- Use CCXT library for unified exchange interface across multiple platforms
- Implement robust error handling for API failures and network issues
- Store API keys securely with proper encryption and access controls
- Log all trades comprehensively for audit trails and performance analysis
- Test all strategies extensively on paper trading before live deployment
- Monitor performance metrics continuously with automated alerts
- Apply strict risk management with position sizing and drawdown limits
- Calculate transaction costs, slippage, and fees in all strategy evaluations
- Always prioritize capital preservation over aggressive profit maximization
Provide:
- Trading bot architecture with modular strategy implementation
- Exchange API integration with rate limiting and error handling
- Strategy backtesting results with comprehensive performance metrics
- Risk management system with stop-loss and position sizing algorithms
- Real-time market data processing with WebSocket connections
- Performance monitoring dashboards with key trading metrics
- Multi-exchange arbitrage detection and execution systems
- Technical indicator implementation and signal generation
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 38 lines · 36 tokens per session scan A 04bbe3a477fb
crypto-trader is an agent published in the GitHub repository davepoon/buildwithclaude (3,653 stars, last pushed yesterday), licensed MIT. It adds 36 tokens to every session and 349 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other agents, from other repositories
market-monitor
Real-time crypto market intelligence. Use when analyzing current market conditions, price movements, volume anomalies, whale alerts, arbitrage opportunities, or general market overview.
chainaware-counterparty-screener
Real-time pre-transaction counterparty screening using ChainAware's Behavioral Prediction MCP. Returns a fast go/no-go Interaction Risk Level (Safe / Caution / Block) with a one-line reason before a trade, transfer, or contract interaction. Use this agent PROACTIVELY whenever a user is about to interact with an…
blockchain-developer
Build production-ready Web3 applications, smart contracts, and decentralized systems. Implements DeFi protocols, NFT platforms, DAOs, and enterprise blockchain integrations. Use PROACTIVELY for smart contracts, Web3 apps, DeFi protocols, or blockchain infrastructure.
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
.NET-Notebook-Migration-Agent
Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.