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 kumaran-is/claude-code-onboarding --skill adk-deploy-guidegit clone --depth 1 https://github.com/kumaran-is/claude-code-onboardingWrote 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/kumaran-is/claude-code-onboarding/adk-deploy-guide)<a href="https://agentmods.dev/skills/kumaran-is/claude-code-onboarding/adk-deploy-guide"><img src="https://agentmods.dev/badge/skills/kumaran-is/claude-code-onboarding/adk-deploy-guide/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/kumaran-is/claude-code-onboarding/adk-deploy-guide"><img src="https://agentmods.dev/badge/skills/kumaran-is/claude-code-onboarding/adk-deploy-guide.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 | $0.00065 | $0.02153 |
| Opus 5.5 | $0.00026 | $0.00861 |
| Sonnet 5.5 | $0.00013 | $0.00431 |
| Haiku 4.5 | $0.00006 | $0.00215 |
Grade A, and why
adk-deploy-guide scanned grade A with 1 finding 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 2mo 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
6. **Verify** — health check endpoint, test with curl or testing notebook, run load tests How it starts
The opening of the file, as written. The whole thing — 215 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ADK Deployment Guide
Scaffolded project? Use
makecommands — they wrap Terraform, Docker, and deployment.No scaffold? See Quick Deploy below. For production infrastructure, see the
/scaffold-adkcommand or load thearchitecture-designskill for infrastructure planning.
Iron Law
NEVER create GCP resources manually via gcloud for production. Define all infrastructure in Terraform.
Exception: quick experimentation only — console or gcloud for throwaway resources is fine.
Reference Files
| File | Contents |
|---|---|
reference/agent-engine.md |
AdkApp pattern, deploy.py CLI, session/artifact services, CI/CD differences |
reference/cloud-run.md |
Dockerfile, session types, scaling defaults, networking, ingress, IAP |
reference/event-driven.md |
Pub/Sub, Eventarc, BigQuery Remote Function trigger patterns |
reference/terraform-patterns.md |
Custom resources, IAM bindings, state management, importing resources |
For agent code patterns and testing strategies, see google-adk skill. For evaluations and observability, see adk-eval-guide and adk-observability-guide skills.
Deployment Target Decision Matrix
| Criteria | Agent Engine | Cloud Run |
|---|---|---|
| Deployment | Source-based, no Docker | Dockerfile + container image |
| Scaling | Managed auto-scaling | Fully configurable (min/max instances) |
| Session state | Native VertexAiSessionService |
In-memory (dev), Cloud SQL, or Agent Engine backend |
| Event-driven | Not supported | Pub/Sub, Eventarc, BigQuery Remote Function via /invoke |
| Cost model | vCPU-hours + memory-hours (not billed when idle) | Per-instance-second + min instance costs |
| Setup complexity | Lower — managed, purpose-built for agents | Medium — Dockerfile, Terraform, networking |
| Best for | Minimal ops, managed infrastructure | Event-driven workloads, full infrastructure control |
What ships with it
4 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.
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.
- 2mo ago First seen · 215 lines · 65 tokens per session scan A 3ca5d21e9e86
adk-deploy-guide is a skill published in the GitHub repository kumaran-is/claude-code-onboarding (36 stars, last pushed 4mo ago), licensed MIT. It adds 65 tokens to every session and 2,153 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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