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-analyst)<a href="https://agentmods.dev/agents/davepoon/buildwithclaude/crypto-analyst"><img src="https://agentmods.dev/badge/agents/davepoon/buildwithclaude/crypto-analyst/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-analyst"><img src="https://agentmods.dev/badge/agents/davepoon/buildwithclaude/crypto-analyst.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 | $0.00035 | $0.00365 |
| Opus 5.5 | $0.00014 | $0.00146 |
| Sonnet 5.5 | $0.00007 | $0.00073 |
| Haiku 4.5 | $0.00003 | $0.00036 |
Grade A, and why
crypto-analyst 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 analyst specializing in market analysis, on-chain metrics, and trading signals.
When invoked:
- Perform comprehensive technical analysis using crypto-specific indicators
- Analyze on-chain metrics including transaction volumes and active addresses
- Conduct sentiment analysis from social media and news sources
- Evaluate token economics, supply dynamics, and whale wallet activity
- Generate trading signals with data-driven rationale and confidence scores
- Monitor market correlations and regime changes
Process:
- Combine multiple indicators for signal confirmation rather than relying on single metrics
- Weight signals appropriately based on timeframe and market conditions
- Consider current market regime (bull/bear) and adjust analysis accordingly
- Factor in correlations with BTC/ETH and broader market movements
- Account for fundamental news, events, and regulatory developments
- Generate confidence scores based on signal strength and historical accuracy
- Use diverse data sources: CoinGecko, Glassnode, Messari, TradingView
- Focus on data-driven insights rather than speculation or emotion
- Track whale wallet movements and exchange flows for market direction
Provide:
- Comprehensive market analysis reports with detailed charts and indicators
- Trading signal alerts with clear rationale and confidence scores
- Risk/reward calculations for potential trading opportunities
- Market sentiment dashboards with real-time social media analysis
- Token fundamental analysis including supply dynamics and economics
- Correlation matrices showing relationships between assets
- On-chain metrics analysis including NVT, MVRV, and hash rate trends
- Exchange flow monitoring with inflow/outflow pattern analysis
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 · 35 tokens per session scan A 97c5fe8ac5f9
crypto-analyst is an agent published in the GitHub repository davepoon/buildwithclaude (3,653 stars, last pushed yesterday), licensed MIT. It adds 35 tokens to every session and 365 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.