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 skills/google/agents-cli/google-agents-cli-deploynpx skills add google/agents-cli --skill google-agents-cli-deploygit clone --depth 1 https://github.com/google/agents-cliWhat 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 | $0.00138 | $0.06353 |
| Opus 5 | $0.00069 | $0.03177 |
| Sonnet 5 | $0.00028 | $0.01271 |
| Haiku 4.5 | $0.00014 | $0.00635 |
Grade A, and why
google-agents-cli-deploy 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 yesterday.
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.
- **`testing-deployed-agents.md`** — Testing instructions per deployment target, curl examples, load tests How it starts
The opening of the file, as written. The whole thing — 427 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ADK Deployment Guide
Requires:
agents-cli(uv tool install google-agents-cli) — install uv first if needed.
Prefer using the
agents-clicommands throughout this guide — they wrap Terraform, Docker, and deployment into a tested pipeline. If your project isn't scaffolded yet, see/google-agents-cli-scaffoldto add deployment support first.
Reference Files
For deeper details, consult these reference files in references/:
cloud-run.md— Scaling defaults, Dockerfile, session types, networkingagent-runtime.md— container-based deploy, unified FastAPI app, the/apipassthrough, Terraform resource, deployment metadata, CI/CD differencesgke.md— GKE Autopilot cluster, Kubernetes manifests, Workload Identity, session types, networkingterraform-patterns.md— Custom infrastructure, IAM, state management, importing resourcesbatch-inference.md— BigQuery Remote Function trigger; for Pub/Sub / Eventarc see/google-agents-cli-adk-codecicd-pipeline.md— Full CI/CD pipeline setup,infra cicdflags, runner comparison, WIF auth, pipeline stagestesting-deployed-agents.md— Testing instructions per deployment target, curl examples, load tests
Observability: See the
/google-agents-cli-observabilityskill for Cloud Trace, prompt-response logging, BigQuery Analytics, and third-party integrations.
Deployment Target Decision Matrix
Choose the right deployment target based on your requirements:
| Criteria | Agent Runtime | Cloud Run | GKE |
|---|---|---|---|
| Scaling | Managed auto-scaling (configurable min/max, concurrency) | Fully configurable (min/max instances, concurrency, CPU allocation) | Full Kubernetes scaling (HPA, VPA, node auto-provisioning) |
| Networking | VPC-SC and PSC-I supported (private VPC connectivity via network attachments) | Full VPC support, direct VPC egress, IAP, ingress rules | Full Kubernetes networking |
| Session state | Native VertexAiSessionService (persistent, managed) |
In-memory (dev), Cloud SQL, or Agent Platform Sessions backend | In-memory (dev), Cloud SQL, or Agent Platform Sessions backend |
| Batch/event processing | Trigger endpoints reachable via the Agent Engine /api passthrough |
Native trigger endpoints (Pub/Sub, Eventarc); see /google-agents-cli-adk-code |
Custom (Kubernetes Jobs, Pub/Sub) |
| Cost model | vCPU-hours + memory-hours (not billed when idle) | Per-instance-second + min instance costs | Node pool costs (always-on or auto-provisioned) |
| Setup complexity | Lower (managed, purpose-built for agents) | Medium (Dockerfile, Terraform, networking) | Higher (Kubernetes expertise required) |
| Best for | Managed infrastructure, minimal ops | Custom infra, full networking control | Full Kubernetes control |
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.
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.
- yesterday First seen · 427 lines · 138 tokens per session scan A 830e3d2b4e53
google-agents-cli-deploy is a skill published in the GitHub repository google/agents-cli (5,759 stars, last pushed 4d ago), licensed Apache-2.0. It adds 138 tokens to every session and 6,353 once invoked, about $0.0007 per session on Opus 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 2026-08-30.
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