new-agent

new-agent is a command for coding agents from davepoon/buildwithclaude. It costs 20 tokens per session (554 once invoked), scanned A, original, MIT.

A command for creating the starting files for an AG2 ConversableAgent, an agent that can exchange messages and use tools. It includes the agent definition, its tools, system instructions, and language-model settings.

In plain words
What is it for?
Use it when starting an AG2 agent with a chosen name, purpose, tools, language model, and possible external API connection.
Why use it?
It gives a new agent a defined structure and asks for the information needed to configure its purpose, tools, model, and outside API access.

Command

Part of the ag2-agent-builder plugin — 7 commands, 3 agents shipped together

About the project

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.

davepoon/buildwithclaude · 3,415 stars · on GitHub

Install

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.

agentmods
npx agentmods add commands/davepoon/buildwithclaude/new-agent
Clone the repo
git clone --depth 1 https://github.com/davepoon/buildwithclaude

Or install ag2-agent-builder, the plugin that ships this one along with the rest of its 7 commands, 3 agents.

Wrote 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.

agentmods badge for new-agent

README.md
[![agentmods](https://agentmods.dev/badge/commands/davepoon/buildwithclaude/new-agent.svg)](https://agentmods.dev/commands/davepoon/buildwithclaude/new-agent)
Your own site
<a href="https://agentmods.dev/commands/davepoon/buildwithclaude/new-agent"><img src="https://agentmods.dev/badge/commands/davepoon/buildwithclaude/new-agent.svg" alt="Measured on agentmods" height="20"></a>
Per session 20 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 554 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00020 $0.00554
Opus 5 $0.00010 $0.00277
Sonnet 5 $0.00004 $0.00111
Haiku 4.5 $0.00002 $0.00055

Measured 5d ago against content hash 501f2cf0430e, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

new-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 5d 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.

plugins/ag2-agent-builder/commands/new-agent.md · 83 lines

How it starts

The opening of the file, as written. The whole thing — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are scaffolding a new AG2 (AutoGen) agent. Follow the AG2 framework patterns exactly.

Instructions

  1. Ask the user for:

    • Agent name and purpose
    • What tools/capabilities it needs
    • Which LLM model to use (default: gpt-4o-mini)
    • Whether it needs external API access
  2. Create the agent following this exact structure:

File Structure

agents/<agent-name>/
  <agent_name>.py    # Agent definition + tools
  README.md          # Capabilities documentation

Agent Code Pattern

import json
from autogen import ConversableAgent
from autogen.tools import tool

# --- Tool Functions ---
# Each tool returns a JSON string with {"success": bool, "data": ..., "error": ...}

@tool()
def tool_name(param1: str, param2: int = 10) -> str:
    """Clear description of what this tool does.

    Args:
        param1: Description of param1
        param2: Description of param2 (default: 10)
    """
    try:
        # Implementation
        result = {"key": "value"}
        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 orchestrator routing",
    system_message="""You are a [role description].

Your capabilities:
- Capability 1
- Capability 2

Guidelines:
- Always use the appropriate tool for the task
- Return structured responses
- Handle errors gracefully and explain what went wrong
""",
    llm_config={"model": "gpt-4o-mini"},
    functions=[tool_name],
)

Key Rules

  • Tool functions MUST return JSON strings, not dicts or raw values
  • Tool functions MUST have docstrings (used for LLM function calling schema)
  • System messages should be specific about the agent's role and boundaries
  • Agent description is used by orchestrators to route tasks -- keep it concise
  • Use @tool() decorator from autogen.tools
  • Group related tools in the same file
  • Never use bare except: -- always catch specific exceptions or Exception

Read the full file on GitHub · 83 lines

Changes

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.

  1. 5d ago First seen · 83 lines · 20 tokens per session scan A 501f2cf0430e

Subscribe to this mod's changes

new-agent is a command published in the GitHub repository davepoon/buildwithclaude (3,415 stars, last pushed today), licensed MIT. It adds 20 tokens to every session and 554 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.