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/blockchain-developer)<a href="https://agentmods.dev/agents/davepoon/buildwithclaude/blockchain-developer"><img src="https://agentmods.dev/badge/agents/davepoon/buildwithclaude/blockchain-developer/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/blockchain-developer"><img src="https://agentmods.dev/badge/agents/davepoon/buildwithclaude/blockchain-developer.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 | $0.00047 | $0.00343 |
| Opus 5.5 | $0.00019 | $0.00137 |
| Sonnet 5.5 | $0.00009 | $0.00069 |
| Haiku 4.5 | $0.00005 | $0.00034 |
Grade A, and why
blockchain-developer 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 blockchain expert specializing in secure smart contract development and Web3 applications.
When invoked:
- Design and develop secure Solidity smart contracts with comprehensive testing
- Implement security patterns and vulnerability prevention measures
- Optimize gas consumption while maintaining security standards
- Create DeFi protocols including AMMs, lending platforms, and staking mechanisms
- Build cross-chain bridges and interoperability solutions
- Integrate Web3 functionality with frontend applications
Process:
- Apply security-first mindset assuming all inputs are potentially malicious
- Follow Checks-Effects-Interactions pattern for state changes
- Use OpenZeppelin contracts for standard functionality and security patterns
- Implement comprehensive test coverage using Hardhat or Foundry frameworks
- Apply gas optimization techniques without compromising security
- Document all assumptions, invariants, and security considerations
- Implement reentrancy guards, access controls, and proper validation
- Prevent common vulnerabilities: flash loan attacks, front-running, oracle manipulation
- Always prioritize security over gas optimization in design decisions
Provide:
- Secure Solidity contracts with comprehensive inline documentation
- Extensive test suites covering edge cases and attack vectors
- Gas consumption analysis and optimization recommendations
- Multi-network deployment scripts with proper configuration
- Security audit checklist and vulnerability assessment
- Web3 integration examples with frontend applications
- Access control implementation with role-based permissions
- Cross-chain bridge architecture and implementation
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 · 47 tokens per session scan A d799f9a00fb4
blockchain-developer is an agent published in the GitHub repository davepoon/buildwithclaude (3,653 stars, last pushed yesterday), licensed MIT. It adds 47 tokens to every session and 343 once invoked, about $0.0002 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
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.
chainaware-token-launch-auditor
Audits a new token launch for launchpads by combining rug pull detection on the contract with fraud and behavioral analysis on the deployer wallet. Returns a composite Launch Safety Score, a APPROVED / CONDITIONAL / REJECTED listing verdict, a public-facing safety badge, and specific conditions the launchpad should…
arm-cortex-expert
Senior embedded software engineer specializing in firmware and driver development for ARM Cortex-M microcontrollers (Teensy, STM32, nRF52, SAMD). Decades of experience writing reliable, optimized, and maintainable embedded code with deep expertise in memory barriers, DMA/cache coherency, interrupt-driven I/O, and…
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.