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.
npx skills add manhvann/codexkit --skill google-adk-pythongit clone --depth 1 https://github.com/manhvann/codexkitWrote 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/skills/manhvann/codexkit/google-adk-python)<a href="https://agentmods.dev/skills/manhvann/codexkit/google-adk-python"><img src="https://agentmods.dev/badge/skills/manhvann/codexkit/google-adk-python/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/skills/manhvann/codexkit/google-adk-python"><img src="https://agentmods.dev/badge/skills/manhvann/codexkit/google-adk-python.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00044 | $0.01255 |
| Opus 5.5 | $0.00018 | $0.00502 |
| Sonnet 5.5 | $0.00009 | $0.00251 |
| Haiku 4.5 | $0.00004 | $0.00126 |
Grade A, and why
ck:google-adk-python 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.
How it starts
The opening of the file, as written. The whole thing — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Google ADK Python Skill
Expert guide for Google's Agent Development Kit (ADK) Python — open-source, code-first toolkit for building, evaluating, and deploying AI agents. Optimized for Gemini, model-agnostic by design.
When to Activate
- Build single or multi-agent systems with tool integration
- Implement A2A protocol for remote agent communication
- Integrate MCP servers as agent tools
- Use workflow agents (sequential, parallel, loop) for pipelines
- Manage sessions, state, memory, and artifacts
- Add callbacks, plugins, or observability hooks
- Deploy to Cloud Run, Vertex AI Agent Engine, or GKE
- Evaluate agents with
adk evalframework
Agent Structure Convention (Required)
my_agent/
├── __init__.py # MUST: from . import agent
└── agent.py # MUST: root_agent = Agent(...) OR app = App(...)
Quick Start
pip install google-adk # stable (weekly releases)
uv sync --all-extras # dev setup (uv required, Python 3.10+, 3.11+ recommended)
from google.adk import Agent
root_agent = Agent(
name="assistant",
model="gemini-2.5-flash",
instruction="You are a helpful assistant.",
description="General assistant agent.",
tools=[get_weather],
)
App Pattern (Production)
from google.adk import Agent
from google.adk.apps import App
from google.adk.apps.app import EventsCompactionConfig
from google.adk.plugins.save_files_as_artifacts_plugin import SaveFilesAsArtifactsPlugin
app = App(
name="my_app",
root_agent=Agent(name="my_agent", model="gemini-2.5-flash", ...),
plugins=[SaveFilesAsArtifactsPlugin()],
events_compaction_config=EventsCompactionConfig(compaction_interval=2),
)
Use App when needing plugins, event compaction, or custom lifecycle management.
CLI Tools
| Command | Purpose |
|---|---|
adk web <agents_dir> |
Dev UI (recommended for development) |
adk run <agent_dir> |
Interactive CLI testing |
adk api_server <agents_dir> |
FastAPI production server |
adk eval <agent> <evalset.json> |
Run evaluation suite |
What ships with it
7 files 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.
- references/agent-types-and-architecture.md 2.9 KB
- references/callbacks-plugins-observability.md 3.5 KB
- references/deployment-cloud-run-vertex-gke.md 3.4 KB
- references/evaluation-testing-cli.md 2.6 KB
- references/multi-agent-and-a2a-protocol.md 3.8 KB
- references/sessions-state-memory-artifacts.md 4.2 KB
- references/tools-and-mcp-integration.md 3.9 KB
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 · 134 lines · 44 tokens per session scan A c09f467646fc
ck:google-adk-python is a skill published in the GitHub repository manhvann/codexkit (89 stars, last pushed 1mo ago), licensed MIT. It adds 44 tokens to every session and 1,255 once invoked, about $0.0002 per session on Opus 5.5. 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.
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