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 AmariahAK/atlarix-skills --skill acr-google-adkgit clone --depth 1 https://github.com/AmariahAK/atlarix-skillsWrote 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/amariahak/atlarix-skills/acr-google-adk)<a href="https://agentmods.dev/skills/amariahak/atlarix-skills/acr-google-adk"><img src="https://agentmods.dev/badge/skills/amariahak/atlarix-skills/acr-google-adk/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/amariahak/atlarix-skills/acr-google-adk"><img src="https://agentmods.dev/badge/skills/amariahak/atlarix-skills/acr-google-adk.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00015 | $0.00536 |
| Opus 5 | $0.00008 | $0.00268 |
| Sonnet 5 | $0.00003 | $0.00107 |
| Haiku 4.5 | $0.00002 | $0.00054 |
Grade A, and why
Google Agent Development Kit rules for agents, tools, sessions, memory, artifact 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 9d 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 — 64 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Google Agent Development Kit rules for agents, tools, sessions, memory, artifact
When to use this skill
Google Agent Development Kit rules for agents, tools, sessions, memory, artifacts, evaluation, and deployment
Source
Synced from https://github.com/PatrickJS/awesome-cursorrules/tree/main/rules/google-adk.mdc.
Google ADK Rules
Agent Design
- Keep each agent focused on a clear goal, persona, and tool set.
- Use LLM agents for flexible reasoning and workflow agents for deterministic orchestration.
- Write instructions that define task boundaries, tool-use rules, and escalation behavior.
- Split multi-agent systems by responsibility rather than by implementation convenience.
- Keep model choices configurable.
Tools
- Give tools narrow, typed inputs and outputs.
- Validate tool arguments before performing side effects.
- Keep secrets, credentials, and privileged APIs out of agent prompts.
- Handle tool errors explicitly and return actionable failure messages.
- Be aware of ADK tool limitations; some built-in tools cannot be combined with other tools on the same agent.
Sessions, State, and Memory
- Use session state for current-conversation data.
- Use memory for cross-session recall and retrieval.
- Keep state small and serializable.
- Do not store large files or binary payloads in session state.
- Make state keys stable and documented.
Artifacts
- Use artifacts for generated files, uploaded files, reports, images, audio, and other binary data.
- Configure an artifact service in the runner before relying on artifact operations.
- Version artifact filenames intentionally and avoid overwriting semantically different outputs.
- Store only references or summaries in state when full content belongs in artifacts.
Evaluation and Deployment
- Add tests for tool behavior, agent routing, prompt regressions, and unsafe tool calls.
- Use trace or event logs to debug agent decisions.
- Keep local development, staging, and production configuration separate.
- Add observability for latency, tool failures, token use, and handoff failures.
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.
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.
- 9d ago First seen · 64 lines · 15 tokens per session scan A 4456a2c7e9cc
Google Agent Development Kit rules for agents, tools, sessions, memory, artifact is a skill published in the GitHub repository AmariahAK/atlarix-skills (2 stars, last pushed 5d ago), licensed Apache-2.0. It adds 15 tokens to every session and 536 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 2026-09-03.
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