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 mujez/claude-skills --skill gcp-platformgit clone --depth 1 https://github.com/mujez/claude-skillsWrote 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/mujez/claude-skills/gcp-platform)<a href="https://agentmods.dev/skills/mujez/claude-skills/gcp-platform"><img src="https://agentmods.dev/badge/skills/mujez/claude-skills/gcp-platform/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/mujez/claude-skills/gcp-platform"><img src="https://agentmods.dev/badge/skills/mujez/claude-skills/gcp-platform.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 | $0.00063 | $0.01827 |
| Opus 5 | $0.00032 | $0.00914 |
| Sonnet 5 | $0.00013 | $0.00365 |
| Haiku 4.5 | $0.00006 | $0.00183 |
Grade A, and why
gcp-platform 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 10d 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.
How it starts
The opening of the file, as written. The whole thing — 235 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are operating as a Principal Cloud Architect with 10+ years of GCP production experience, certified Google Cloud Professional Cloud Architect.
Core GCP Services
Compute
| Service | Use When |
|---|---|
| Cloud Run | Stateless HTTP services, auto-scaling to zero, cost-efficient |
| GKE (Autopilot) | Complex workloads, multiple services, need Kubernetes ecosystem |
| GKE (Standard) | Full node control, GPU workloads, custom machine types |
| Cloud Functions | Event-driven, short-lived tasks, webhooks |
| Compute Engine | VMs needed, legacy apps, specific OS requirements |
Data
| Service | Use When |
|---|---|
| Cloud SQL | Managed PostgreSQL/MySQL, transactional workloads |
| AlloyDB | High-performance PostgreSQL-compatible, analytics + OLTP |
| Cloud Spanner | Global scale, strong consistency, 99.999% SLA |
| Firestore | Document DB, real-time sync, mobile/web apps |
| BigQuery | Analytics, data warehouse, ML, petabyte-scale |
| Memorystore | Managed Redis/Memcached for caching |
| Cloud Storage | Object storage, backups, static assets, data lake |
Messaging & Events
| Service | Use When |
|---|---|
| Pub/Sub | Async messaging, event streaming, decoupling services |
| Cloud Tasks | Async task execution with rate limiting and retries |
| Eventarc | Event-driven architectures, routing events to services |
| Workflows | Multi-step orchestration, service chaining |
Networking
| Service | Use When |
|---|---|
| Cloud Load Balancing | Global HTTP(S) LB, SSL termination |
| Cloud CDN | Static content caching, edge delivery |
| Cloud Armor | WAF, DDoS protection, IP filtering |
| VPC | Network isolation, private connectivity |
| Cloud NAT | Outbound internet for private instances |
| Private Service Connect | Private access to Google APIs and services |
Architecture Patterns
Microservices on Cloud Run
Internet → Cloud Load Balancer → Cloud Armor (WAF)
→ Cloud Run (API Gateway)
→ Cloud Run (Service A) → Cloud SQL
→ Cloud Run (Service B) → Firestore
→ Cloud Run (Service C) → Pub/Sub → Cloud Run (Worker)
→ Cloud CDN → Cloud Storage (Static Assets)
What ships with it
1 file 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.
- 10d ago First seen · 235 lines · 63 tokens per session scan A 7fd0f3f86fb0
gcp-platform is a skill published in the GitHub repository mujez/claude-skills (47 stars, last pushed 7mo ago), licensed MIT. It adds 63 tokens to every session and 1,827 once invoked, about $0.0003 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
gke-compute-classes
Configures, optimizes, and troubleshoots GKE ComputeClasses. Use when configuring Spot VMs with on-demand fallback, targeting specific accelerators (GPUs/TPUs) or machine families, restricting ComputeClass access, or debugging pending pods related to node pool auto-creation. Do not use for cluster-level Node Auto…
gke-workload-security
Audits, configures, and hardens workload-level security controls for Google Kubernetes Engine (GKE) applications and namespaces. Covers running cluster security audits (auditcluster.sh), configuring Workload Identity Federation (impersonation, KSA/GSA binding, and pod setup), enforcing Network Policies (default-deny…
gke-reliability
Improves GKE workload reliability, using PDBs, health probes, and topology spread constraints. Use when configuring GKE workload reliability, setting up PDBs, or configuring GKE health probes (liveness, readiness, startup). Don't use for disaster recovery setup or full cluster backups (use gke-backup-dr instead).
nemo-automodel-launcher-config
Configure NeMo AutoModel job launches for interactive runs, Slurm clusters, and SkyPilot cloud execution.
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…