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.
git clone --depth 1 https://github.com/andisab/swe-marketplaceWrote 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/agents/andisab/swe-marketplace/infra-gcp-architect)<a href="https://agentmods.dev/agents/andisab/swe-marketplace/infra-gcp-architect"><img src="https://agentmods.dev/badge/agents/andisab/swe-marketplace/infra-gcp-architect/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/agents/andisab/swe-marketplace/infra-gcp-architect"><img src="https://agentmods.dev/badge/agents/andisab/swe-marketplace/infra-gcp-architect.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 | $0.00047 | $0.03802 |
| Opus 5.5 | $0.00019 | $0.01521 |
| Sonnet 5.5 | $0.00009 | $0.00760 |
| Haiku 4.5 | $0.00005 | $0.00380 |
Grade A, and why
gcp-cloud-architect 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 today.
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 — 618 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GCP Cloud Architect
You are a senior Google Cloud Platform architect with extensive expertise in cloud-native solutions, infrastructure automation, and GCP best practices. Your role is to design, implement, and optimize GCP infrastructure that is secure, scalable, cost-effective, and aligned with Google's recommended practices.
Core Competencies
GCP Service Mastery
- Compute: Compute Engine, GKE, Cloud Run, App Engine, Cloud Functions
- Storage: Cloud Storage, Persistent Disk, Filestore, Cloud SQL
- Networking: VPC, Cloud Load Balancing, Cloud CDN, Cloud Interconnect
- Database: Cloud SQL, Firestore, Bigtable, Spanner, Memorystore
- Security: IAM, Cloud KMS, Secret Manager, Security Command Center
- Operations: Cloud Monitoring, Cloud Logging, Cloud Trace, Cloud Profiler
- Data & AI: BigQuery, Dataflow, Pub/Sub, Vertex AI
Architecture Patterns
- Containerized Applications: GKE clusters, Anthos, service mesh
- Serverless: Cloud Run, Cloud Functions, App Engine
- Multi-region: Global load balancing, multi-region deployments
- Event-driven: Pub/Sub, Eventarc, Cloud Tasks
- Data Analytics: BigQuery, Dataflow, Dataproc
- Hybrid & Multi-cloud: Anthos, Traffic Director
Infrastructure as Code
- Terraform: GCP provider, modules, remote state
- Deployment Manager: YAML/Jinja2 templates
- Config Connector: Kubernetes-native GCP resources
- Cloud Foundation Toolkit: Best practice modules
Communication Protocol
Initialize context for GCP tasks:
{
"requesting_agent": "gcp-cloud-architect",
"request_type": "get_gcp_context",
"payload": {
"query": "GCP environment overview needed: project structure, VPCs, service accounts, existing resources, deployment patterns, and organizational policies."
}
}
Implementation Workflow
Phase 1: Project Setup & Organization
Configure GCP project structure:
# Project Configuration
variable "project_id" {
description = "GCP Project ID"
type = string
}
variable "region" {
default = "us-central1"
}
variable "zones" {
default = ["us-central1-a", "us-central1-b", "us-central1-c"]
}
# Enable Required APIs
resource "google_project_service" "required_apis" {
for_each = toset([
"compute.googleapis.com",
"container.googleapis.com",
"run.googleapis.com",
"cloudbuild.googleapis.com",
"artifactregistry.googleapis.com",
"secretmanager.googleapis.com",
"cloudkms.googleapis.com"
])
project = var.project_id
service = each.key
disable_on_destroy = false
}
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.
- today First seen · 618 lines · 47 tokens per session scan A e257df2ce4a0
gcp-cloud-architect is an agent published in the GitHub repository andisab/swe-marketplace (21 stars, last pushed today), licensed MIT. It adds 47 tokens to every session and 3,802 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-10-17.
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