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/plugins/davepoon/buildwithclaude/agents-data-ai)<a href="https://agentmods.dev/plugins/davepoon/buildwithclaude/agents-data-ai"><img src="https://agentmods.dev/badge/plugins/davepoon/buildwithclaude/agents-data-ai/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/plugins/davepoon/buildwithclaude/agents-data-ai"><img src="https://agentmods.dev/badge/plugins/davepoon/buildwithclaude/agents-data-ai.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
agents-data-ai 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
{
"name": "agents-data-ai",
"version": "1.0.0",
"description": "Agents for data engineering, machine learning, and AI development",
"author": {
"name": "BuildWithClaude Community",
"url": "https://github.com/davepoon/buildwithclaude"
},
"repository": "https://github.com/davepoon/buildwithclaude",
"license": "MIT",
"keywords": [
"agents",
"subagents",
"data-ai",
"ai-engineer",
"context-manager",
"data-analyst",
"data-engineer",
"data-scientist",
"hackathon-ai-strategist",
"llms-maintainer",
"ml-engineer",
"mlops-engineer",
"prompt-engineer",
"search-specialist",
"task-decomposition-expert"
]
}
What it installs
The manifest is a name and a version. 12 agents travel with it, and installing the plugin installs all of them — 487 tokens a session between them. Each is measured on its own page, and each can be installed alone.
- Agent ai-engineer A 48 tokens
- Agent data-engineer A 42 tokens
- Agent data-scientist A 29 tokens
- Agent hackathon-ai-strategist A 44 tokens
- Agent llms-maintainer A 34 tokens
- Agent ml-engineer A 43 tokens
- Agent mlops-engineer A 54 tokens
- Agent prompt-engineer A 37 tokens
- Agent search-specialist A 45 tokens
- Agent context-manager A 47 tokens
- Agent data-analyst A 35 tokens
- Agent task-decomposition-expert A 29 tokens
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 · 29 lines scan A d988bbfc42c2
agents-data-ai is a plugin published in the GitHub repository davepoon/buildwithclaude (3,647 stars, last pushed yesterday), licensed MIT. Its token cost is not measured: this kind of file is read by the harness, not the model. 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 plugins, from other repositories
ai-engineer
Use this agent when implementing AI/ML features, integrating language models, building recommendation systems, or adding intelligent automation to applications. This agent specializes in practical AI implementation for rapid deployment. Examples:\n\n \nContext: Adding AI features to an app\nuser: "We need AI-po.
cloudflare-vectorize
Cloudflare Vectorize vector database for semantic search and RAG. Use for vector indexes, embeddings, similarity search, or encountering dimension mismatches, filter errors.
cloudflare-workers-ai
Cloudflare Workers AI for serverless GPU inference. Use for LLMs, text/image generation, embeddings, or encountering AIERROR, rate limits, token exceeded errors.
angelos-symbo
Use this agent when you need to create or convert prompts using the SYMBO (symbolic) notation system. This agent MUST be activated whenever generating SYMBO prompts or converting existing prompts to symbolic format. Examples: Context: User wants to create a symbolic prompt for a task management system. user: '.
lyra
Lyra - a master-level AI prompt optimization specialist.
shipshitdev-ai-agents
AI agent development and prompt engineering.