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 agentmods add instructions/google/adk-python/agents-mdgit clone --depth 1 https://github.com/google/adk-pythonWhat 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 | $0.00322 | $0.00322 |
| Opus 5 | $0.00161 | $0.00161 |
| Sonnet 5 | $0.00064 | $0.00064 |
| Haiku 4.5 | $0.00032 | $0.00032 |
Grade A, and why
adk-python AGENTS.md 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 2d 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.
What it actually says
Project Overview
The Agent Development Kit (ADK) is an open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents.
Key Components
- Agent: Blueprint defining identity, instructions, and tools.
- Runner: Stateless execution engine that orchestrates agent execution.
- Tool: Functions/capabilities agents can call.
- Session: Conversation state management.
- Memory: Long-term recall across sessions.
- Workflow (ADK 2.0): Graph-based orchestration of complex, multi-step agent interactions.
- BaseNode (ADK 2.0): Contract for all nodes, supporting output streaming and human-in-the-loop steps.
- Context (ADK 2.0): Holds execution state and telemetry context mapped 1:1 to nodes.
For details on how the Runner works and the invocation lifecycle, please refer to the adk-architecture skill and the referenced documentation therein.
ADK Knowledge, Architecture, and Style
Skills related to ADK development are in .agents/skills/.
Project Architecture
For detailed architecture patterns, component descriptions, and core interfaces, please refer to the adk-architecture skill at .agents/skills/adk-architecture/SKILL.md.
Development Setup
The project uses uv for package management and Python 3.10+. Please refer to the adk-setup skill at .agents/skills/adk-setup/SKILL.md for detailed instructions.
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.
- 2d ago First seen · 29 lines · 322 tokens per session scan A 98933cf6f62b
adk-python AGENTS.md is an instructions file published in the GitHub repository google/adk-python (21,331 stars, last pushed 2d ago), licensed Apache-2.0. It adds 322 tokens to every session, about $0.0016 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 instructions, from other repositories
adk-java GEMINI.md
Instructions for google/adk-java, covering gemini code assistant context, project overview, building and running, maven commands and development workflow.
mcp-toolbox GEMINI.md
Gemini CLI instructions for googleapis/mcp-toolbox, covering mcp toolbox context & style guide, project overview, tech stack, key directories and development workflow.
open-agents AGENTS.md
AGENTS.md instructions for vercel-labs/open-agents, covering agents.md, quick links, authentication, database & migrations and environment isolation.
adk-go CLAUDE.md
Instructions for google/adk-go: See AGENTS.md for project context, commands, and contribution guidelines for AI coding agents.
relay AGENTS.md
Instructions for AgentWorkforce/relay, covering git workflow rules, never push directly to main, correct workflow, ... do work .. and stop here - let user merge.
axonhub AGENTS.md
AGENTS.md instructions for looplj/axonhub, covering agents.md, global rules, configuration, project overview and technology stack.