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-observabilitynpx skills add google/agents-cli --skill google-agents-cli-observabilitygit 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 | $0.00132 | $0.02568 |
| Opus 5 | $0.00066 | $0.01284 |
| Sonnet 5 | $0.00026 | $0.00514 |
| Haiku 4.5 | $0.00013 | $0.00257 |
Grade A, and why
google-agents-cli-observability 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 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.
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 — 166 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ADK Observability Guide
Cloud Trace works out of the box — no infrastructure needed. Prompt-response logging and BigQuery Agent Analytics require Terraform-provisioned infrastructure (service account, GCS bucket, BigQuery dataset). Run
agents-cli infra single-project --project PROJECT_IDto provision these resources. Seereferences/cloud-trace-and-logging.mdfor details, env vars, and verification commands. If your project isn't scaffolded yet, see/google-agents-cli-scaffoldfirst.
Order of operations for agent_runtime deployments
For deployment_target = agent_runtime, run agents-cli infra single-project before the first agents-cli deploy. The Terraform module owns the entire Reasoning Engine resource (service account, deployment spec, env vars), so applying it after an SDK-based deploy creates a state mismatch Terraform can't reconcile without taking ownership of the whole resource.
Already ran agents-cli deploy? Two options:
- Switch to Terraform-managed — delete the SDK-deployed Reasoning Engine, then run
agents-cli infra single-projectandagents-cli deploy(sessions and in-flight state are lost). - Keep the SDK-deployed instance — skip
infra single-projectand set the observability env vars by re-runningagents-cli deploy --update-env-vars "KEY=VALUE,..."; deploy matches the existing Reasoning Engine by display name and updates it in place, preserving env vars set outside the deploy. You must also grant its service account the telemetry IAM roles the Terraform module would otherwise provision:roles/storage.admin(write completions to the logs bucket),roles/logging.logWriter,roles/cloudtrace.agent, plusroles/bigquery.dataOwner+roles/bigquery.jobUserwhen scaffolded with--bq-analytics. The full set lives indeployment/terraform/single-project/iam.tf(fromapp_sa_roles) andtelemetry.tf. Terraform-managed env vars aren't available in this mode.
Reference Files
| File | Contents |
|---|---|
references/cloud-trace-and-logging.md |
Scaffolded project details — Terraform-provisioned resources, environment variables, verification commands, enabling/disabling locally |
references/bigquery-agent-analytics.md |
BQ Agent Analytics plugin — enabling, key features, GCS offloading, tool provenance |
references/feedback-mechanism.md |
Adding a user-feedback endpoint — request model, structured logging, log sink → BigQuery |
What ships with it
3 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 · 166 lines · 132 tokens per session scan A 8cf17cd2c1a9
google-agents-cli-observability is a skill published in the GitHub repository google/agents-cli (5,759 stars, last pushed 4d ago), licensed Apache-2.0. It adds 132 tokens to every session and 2,568 once invoked, about $0.0007 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.
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