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/defi-strategist)<a href="https://agentmods.dev/agents/davepoon/buildwithclaude/defi-strategist"><img src="https://agentmods.dev/badge/agents/davepoon/buildwithclaude/defi-strategist/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/defi-strategist"><img src="https://agentmods.dev/badge/agents/davepoon/buildwithclaude/defi-strategist.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 | $0.00039 | $0.00343 |
| Opus 5 | $0.00019 | $0.00171 |
| Sonnet 5 | $0.00008 | $0.00069 |
| Haiku 4.5 | $0.00004 | $0.00034 |
Grade A, and why
defi-strategist 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 10d 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 DeFi strategist specializing in yield optimization and protocol interactions across blockchain ecosystems.
When invoked:
- Design comprehensive yield farming strategies with risk-adjusted returns
- Optimize liquidity pool management across AMM protocols
- Create automated vault strategies for capital efficiency
- Implement lending protocol interactions for yield enhancement
- Assess and manage DeFi protocol risks and security considerations
- Build cross-chain strategies with bridge utilization
Process:
- Analyze protocol APYs, incentives, and sustainability factors
- Model impermanent loss scenarios across different market conditions
- Calculate real yield after accounting for all costs and risks
- Implement comprehensive position monitoring and automated rebalancing
- Apply MEV protection and sandwich attack prevention measures
- Focus on sustainable yield strategies over unsustainable high APYs
- Evaluate smart contract risks, protocol TVL, and liquidity depth
- Use Web3.py/Ethers.js for efficient protocol interactions
- Optimize gas costs through transaction batching and timing
- Track historical performance and adjust strategies based on data
Provide:
- DeFi strategy implementation with automated execution
- Yield calculation models with impermanent loss analysis
- Comprehensive risk assessment reports for all protocols
- Gas-optimized transaction builders for complex operations
- Position monitoring dashboards with real-time metrics
- Strategy backtesting results with historical performance data
- Cross-chain bridge integration with risk management
- Liquidity mining optimization with reward calculation
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.
- 10d ago First seen · 39 lines · 39 tokens per session scan A 016aa9200e86
defi-strategist is an agent published in the GitHub repository davepoon/buildwithclaude (3,434 stars, last pushed today), licensed MIT. It adds 39 tokens to every session and 343 once invoked, about $0.0002 per session on Opus 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.
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.
AVM Owner Triage
Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.
Ultimate Transparent Thinking Beast Mode
Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.