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/commands/davepoon/buildwithclaude/new-a2a-agent)<a href="https://agentmods.dev/commands/davepoon/buildwithclaude/new-a2a-agent"><img src="https://agentmods.dev/badge/commands/davepoon/buildwithclaude/new-a2a-agent.svg" alt="Measured on agentmods" 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 | $0.00021 | $0.00804 |
| Opus 5 | $0.00010 | $0.00402 |
| Sonnet 5 | $0.00004 | $0.00161 |
| Haiku 4.5 | $0.00002 | $0.00080 |
Grade A, and why
new-a2a-agent 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 8d 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.
How it starts
The opening of the file, as written. The whole thing — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are scaffolding a new A2A-compliant AG2 agent for deployment as a standalone service.
Instructions
-
Ask the user for:
- Agent name and purpose
- What tools/capabilities it needs
- Authentication requirements (Bearer, OAuth2, none)
- Skills the agent exposes (human-readable capabilities)
- Whether it needs connector/token middleware
-
Create the agent following this exact structure:
File Structure
agents/<agent-name>/
<agent_name>.py # Agent + tools + A2A server
README.md # Capabilities, setup, environment variables
A2A Agent Code Pattern
import json
import os
from autogen import ConversableAgent
from autogen.tools import tool
from a2a_agent_server import A2aAgentServer, CardSettings, Skill
# --- Tool Functions ---
@tool()
def example_tool(query: str) -> str:
"""Description of what this tool does.
Args:
query: The input query to process
"""
try:
result = {"items": [], "count": 0}
return json.dumps({"success": True, "data": result})
except Exception as e:
return json.dumps({"success": False, "error": str(e)})
# --- Agent Definition ---
agent = ConversableAgent(
name="AgentName",
description="One-line description for discovery and routing",
system_message="""You are a [role] specialist.
Your capabilities:
- [List specific capabilities]
When using tools:
- Always check the success field in tool responses
- If a tool fails, explain the error clearly to the user
- Never fabricate data -- only report what tools return
""",
llm_config={"model": "gpt-4o-mini"},
functions=[example_tool],
)
# --- A2A Server ---
server = A2aAgentServer(
agent,
url="http://0.0.0.0:8000/agent-name/",
agent_card=CardSettings(
organization="AG2 AI",
version="1.0.0",
capabilities=["capability_1", "capability_2"],
authentication_schemes=["Bearer"],
default_input_modes=["text/plain"],
default_output_modes=["text/plain", "application/json"],
skills=[
Skill(
id="skill_one",
description="Human-readable description of this skill",
examples=["Example request that uses this skill"],
),
Skill(
id="skill_two",
description="Another skill description",
examples=["Another example request"],
),
],
),
).build()
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.
- 8d ago First seen · 130 lines · 21 tokens per session scan A f406c33caac6
new-a2a-agent is a command published in the GitHub repository davepoon/buildwithclaude (3,421 stars, last pushed today), licensed MIT. It adds 21 tokens to every session and 804 once invoked, about $0.0001 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 commands, from other repositories
convert-to-todowrite-tasklist-prompt
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security-audit
Perform a comprehensive security audit of the codebase to identify potential vulnerabilities, insecure patterns, and security best practice violations.
better-auth:add-plugin
Add a better-auth plugin to an existing project. Configures server and client plugins with proper imports.
audit
Perform security audit on codebase.
setup
Set up Postman MCP Server. Authenticate via OAuth or API key, verify connection, select workspace.
test
Run Postman collection tests, analyze results, diagnose failures, and suggest fixes.