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/jpoutrin/product-forge/gcp-cloudnpx skills add jpoutrin/product-forge --skill gcp-cloudgit clone --depth 1 https://github.com/jpoutrin/product-forgeWrote 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/jpoutrin/product-forge/gcp-cloud)<a href="https://agentmods.dev/skills/jpoutrin/product-forge/gcp-cloud"><img src="https://agentmods.dev/badge/skills/jpoutrin/product-forge/gcp-cloud.svg" alt="Measured on agentmods" 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 | $0.00035 | $0.00350 |
| Opus 5 | $0.00017 | $0.00175 |
| Sonnet 5 | $0.00007 | $0.00070 |
| Haiku 4.5 | $0.00003 | $0.00035 |
Grade A, and why
gcp-cloud scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
GCP Cloud Skill
This skill provides GCP architecture patterns and best practices.
Core Services
| Service | Use Case |
|---|---|
| Compute Engine | Virtual machines |
| Cloud Functions | Serverless functions |
| Cloud Run | Containers serverless |
| Cloud Storage | Object storage |
| Cloud SQL | Managed databases |
| BigQuery | Data warehouse |
| GKE | Kubernetes |
Terraform Patterns
# GKE cluster
resource "google_container_cluster" "primary" {
name = "my-cluster"
location = "us-central1"
remove_default_node_pool = true
initial_node_count = 1
workload_identity_config {
workload_pool = "${var.project_id}.svc.id.goog"
}
}
Security Best Practices
- Use Workload Identity (not service account keys)
- Enable VPC Service Controls
- Use Cloud IAM for access management
- Enable Cloud Audit Logs
- Use Customer-Managed Encryption Keys
- Enable Binary Authorization for GKE
BigQuery Patterns
-- Partitioned table for cost optimization
CREATE TABLE mydataset.events
PARTITION BY DATE(event_time)
CLUSTER BY user_id
AS SELECT * FROM staging.events;
Cost Optimization
- Use Committed Use Discounts
- Use Preemptible VMs for batch
- Enable autoscaling
- Use BigQuery slot reservations
- Archive to Coldline/Archive storage
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.
- 5d ago First seen · 66 lines · 35 tokens per session scan A 62d4ba2d0eb6
gcp-cloud is a skill published in the GitHub repository jpoutrin/product-forge (15 stars, last pushed 6mo ago), licensed MIT. It adds 35 tokens to every session and 350 once invoked, about $0.0002 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 skills, from other repositories
application-design-center-design-deploy
Processes GCP infrastructure design and deployment workflows within Application Design Center (ADC). Use when: - Designing GCP infrastructure with Terraform. - Validating local HCL. - Performing best-practice plan scans. - Importing templates to Application Design Center (ADC). - Deploying templates. - Troubleshooting…
interactive-login
How to complete browser/interactive logins (aws / gh / glab / gcloud). The platform backgrounds the login poller so it survives the human's browser round-trip — and when that does NOT work.
azure-mgmt-botservice-dotnet
Azure Resource Manager SDK for Bot Service in .NET. Management plane operations for creating and managing Azure Bot resources, channels (Teams, DirectLine, Slack), and connection settings. Triggers: "Bot Service", "BotResource", "Azure Bot", "DirectLine channel", "Teams channel", "bot management .NET", "create bot".
cloud-architect
Designs cloud architectures, creates migration plans, generates cost optimization recommendations, and produces disaster recovery strategies across AWS, Azure, and GCP. Use when designing cloud architectures, planning migrations, or optimizing multi-cloud deployments. Invoke for Well-Architected Framework, cost…
azmon-mirroredcatalogs-operations-cli
Brings Azure Monitor, Application Insights, and Log Analytics telemetry into Fabric as Eventhouse external delta tables and correlates it with business data. Use to onboard observability data, judge whether latency or availability affected revenue, or build a Real-Time dashboard and Operations Agent over it.
atmos-auth
Authentication and identity management: providers (SSO/SAML/OIDC/GCP/Atmos Pro), identities, keyring, identity chaining, login/exec/shell/console, and github/sts for private GitHub access.