ag2-use-builtin-tools

ag2-use-builtin-tools is a skill for Claude Code, Codex from ag2ai/ag2-skills. It costs 103 tokens per session (1,410 once invoked), scanned A, original, Apache-2.0.

A set of AG2's ready-made tools for agents, including web search, web fetching, code execution, file access, image generation, memory, and other toolkits.

In plain words
What is it for?
Use it to give an AG2 agent access to web research, files, code execution, image generation, memory, or search services such as DuckDuckGo, Exa, and Tavily.
Why use it?
It lets you add capabilities AG2 already provides without writing each tool yourself. Some tools run through the model provider, while others run in your own Python process.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to give an AG2 agent access to web research, files, code execution, image generation, memory, or search services such as DuckDuckGo, Exa, and Tavily.

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Install with agentmods
npx agentmods add skills/ag2ai/ag2-skills/ag2-use-builtin-tools
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.

Any agent
npx skills add ag2ai/ag2-skills --skill ag2-use-builtin-tools
Clone the repo
git clone --depth 1 https://github.com/ag2ai/ag2-skills

Made for: Claude Code, Codex.

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 ag2-use-builtin-tools

README.md
[![agentmods](https://agentmods.dev/badge/skills/ag2ai/ag2-skills/ag2-use-builtin-tools/github.svg)](https://agentmods.dev/skills/ag2ai/ag2-skills/ag2-use-builtin-tools)
Your own site
<a href="https://agentmods.dev/skills/ag2ai/ag2-skills/ag2-use-builtin-tools"><img src="https://agentmods.dev/badge/skills/ag2ai/ag2-skills/ag2-use-builtin-tools/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.

agentmods 80×15 button for ag2-use-builtin-tools

Your own site · 80×15
<a href="https://agentmods.dev/skills/ag2ai/ag2-skills/ag2-use-builtin-tools"><img src="https://agentmods.dev/badge/skills/ag2ai/ag2-skills/ag2-use-builtin-tools.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 103 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,410 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00103 $0.01410
Opus 5 $0.00051 $0.00705
Sonnet 5 $0.00021 $0.00282
Haiku 4.5 $0.00010 $0.00141

Measured 11d ago against content hash 606f5d6b29fe, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

ag2-use-builtin-tools 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 11d 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.

skills/ag2-use-builtin-tools/SKILL.md · 146 lines

How it starts

The opening of the file, as written. The whole thing — 146 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Use AG2's built-in tools

When to use

Reach for this skill when the user wants to add a capability that AG2 already ships. Two families:

  1. Provider-native tools (ag2.toolsWebSearchTool, CodeExecutionTool, etc.) — executed server-side by Anthropic / OpenAI / Gemini. No Python implementation on your side.
  2. Common toolkits (ag2.toolsFilesystemToolkit, DuckDuckSearchTool, TavilySearchTool, SkillsToolkit; plus ExaToolkit from ag2.extensions.tools.search) — regular Python that runs in your process and works with every provider.

For shell commands, use ag2-shell-tool (it's important enough to live in its own skill). For custom Python tools, use ag2-add-custom-tool.

60-second recipes

Web search (provider-native)

from ag2 import Agent
from ag2.config import AnthropicConfig
from ag2.tools import WebSearchTool, UserLocation

agent = Agent(
    "researcher",
    config=AnthropicConfig(model="claude-sonnet-4-6"),
    tools=[
        WebSearchTool(
            max_uses=5,
            user_location=UserLocation(country="US"),
            allowed_domains=["github.com", "pypi.org"],
            blocked_domains=["pinterest.com"],
        ),
    ],
)

Web fetch (Anthropic / Gemini only)

from ag2.tools import WebFetchTool

tools = [WebFetchTool(max_uses=3, max_content_tokens=50000, citations=True)]

Code execution

from ag2.tools import CodeExecutionTool

agent = Agent("analyst", config=config, tools=[CodeExecutionTool()])

MCP server integration

from ag2.tools import MCPServerTool

tools = [
    MCPServerTool(
        server_url="https://mcp.example.com/sse",
        server_label="my-tools",
        allowed_tools=["search", "summarize"],
    ),
]

Image generation (OpenAI Responses only)

from ag2.config import OpenAIResponsesConfig
from ag2.tools import ImageGenerationTool

agent = Agent(
    "designer",
    config=OpenAIResponsesConfig(model="gpt-4.1"),
    tools=[ImageGenerationTool(quality="high", size="1024x1024", output_format="png")],
)
reply = await agent.ask("Generate a logo for a coffee shop.")
images = reply.files  # list[BinaryResult]

Read the full file on GitHub · 146 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 11d ago First seen · 146 lines · 103 tokens per session scan A 606f5d6b29fe

Subscribe to this mod's changes

ag2-use-builtin-tools is a skill published in the GitHub repository ag2ai/ag2-skills (10 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 103 tokens to every session and 1,410 once invoked, about $0.0005 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 2026-08-31.

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