ag2-testing

ag2-testing is a skill for Claude Code, Codex from ag2ai/ag2-skills. It costs 80 tokens per session (1,567 once invoked), scanned A, original, Apache-2.0.

A testing guide for AG2 agents, tools, middleware, and response schemas that uses mocked model replies instead of real language-model API calls.

In plain words
What is it for?
Use it with pytest to test normal results, tool calls, and error paths in AG2 code.
Why use it?
It makes tests repeatable and avoids spending money or depending on an external model service.

Skill for Claude CodeCodex

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

Good fit Use it with pytest to test normal results, tool calls, and error paths in AG2 code.

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Install with agentmods
npx agentmods add skills/ag2ai/ag2-skills/ag2-testing
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-testing
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-testing

README.md
[![agentmods](https://agentmods.dev/badge/skills/ag2ai/ag2-skills/ag2-testing.svg)](https://agentmods.dev/skills/ag2ai/ag2-skills/ag2-testing)
Your own site
<a href="https://agentmods.dev/skills/ag2ai/ag2-skills/ag2-testing"><img src="https://agentmods.dev/badge/skills/ag2ai/ag2-skills/ag2-testing.svg" alt="Measured on agentmods" height="20"></a>
Per session 80 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,567 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 $0.00080 $0.01567
Opus 5 $0.00040 $0.00783
Sonnet 5 $0.00016 $0.00313
Haiku 4.5 $0.00008 $0.00157

Measured 8d ago against content hash eaa62b032972, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

ag2-testing 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.

skills/ag2-testing/SKILL.md · 149 lines

How it starts

The opening of the file, as written. The whole thing — 149 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Testing agents and tools

When to use

Writing tests for code that builds AG2 Agents, custom @tool functions, middleware, or response schemas — anywhere you don't want to make real LLM API calls.

60-second recipe — mock an LLM response

import pytest
from ag2 import Agent
from ag2.testing import TestConfig

@pytest.mark.asyncio
async def test_mocked_response():
    agent = Agent("test_agent")
    reply = await agent.ask("Hi!", config=TestConfig("This is a mocked response."))
    assert reply.body == "This is a mocked response."

TestConfig(*responses) replaces the model client. Each positional arg is the mocked response for the next LLM call within an ask() — strings for text replies, ToolCallEvent for tool dispatches. (The cursor is per-ask(); see "Multi-turn mock" below for what that means across multiple turns.)

Simulate a successful tool call

Pass a ToolCallEvent first (the model "decides" to call the tool), then the final answer:

import pytest
from ag2 import Agent
from ag2.events import ToolCallEvent
from ag2.testing import TestConfig

@pytest.mark.asyncio
async def test_tool_success():
    def my_tool() -> str:
        return "tool execution result"

    agent = Agent("test_agent", tools=[my_tool])
    config = TestConfig(
        ToolCallEvent(name="my_tool"),
        "final result",
    )
    reply = await agent.ask("Please use my_tool", config=config)
    assert reply.body == "final result"

Test tool error paths

If a tool raises, the exception propagates to ask():

@pytest.mark.asyncio
async def test_tool_raises():
    def failing_tool() -> str:
        raise ValueError("Something went wrong")

    config = TestConfig(
        ToolCallEvent(name="failing_tool"),
        "result",
    )
    agent = Agent("test_agent", config=config, tools=[failing_tool])

    with pytest.raises(ValueError, match="Something went wrong"):
        await agent.ask("Hi!")

Tool not found

If the LLM calls a tool the agent doesn't have, the framework raises ToolNotFoundError:

Read the full file on GitHub · 149 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. 8d ago First seen · 149 lines · 80 tokens per session scan A eaa62b032972

Subscribe to this mod's changes

ag2-testing is a skill published in the GitHub repository ag2ai/ag2-skills (10 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 80 tokens to every session and 1,567 once invoked, about $0.0004 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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