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 G1Joshi/Agent-Skills --skill gcpgit clone --depth 1 https://github.com/G1Joshi/Agent-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/g1joshi/agent-skills/gcp)<a href="https://agentmods.dev/skills/g1joshi/agent-skills/gcp"><img src="https://agentmods.dev/badge/skills/g1joshi/agent-skills/gcp/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/g1joshi/agent-skills/gcp"><img src="https://agentmods.dev/badge/skills/g1joshi/agent-skills/gcp.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 | $0.00046 | $0.01206 |
| Opus 5.5 | $0.00018 | $0.00482 |
| Sonnet 5.5 | $0.00009 | $0.00241 |
| Haiku 4.5 | $0.00005 | $0.00121 |
Grade A, and why
gcp 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 26d 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 — 148 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Google Cloud Platform (GCP)
Google Cloud Platform (GCP) provides scalable cloud infrastructure, featuring managed container runtimes (Cloud Run, GKE), BigQuery analytics, and Vertex AI foundation model tooling.
When to Use
- Enterprise Google Cloud Infrastructure: Compute Engine (GCE), Google Kubernetes Engine (GKE), and Cloud Run.
- Big Data Analytics & AI/ML: BigQuery data warehousing, Vertex AI foundation models, and Cloud Pub/Sub streaming.
- Global Anycast Networking & CDN: Google Cloud Armor, Cloud CDN, and Cloud Load Balancing with single global anycast IPs.
- Serverless Event-Driven Microservices: Cloud Run, Cloud Functions, and Eventarc.
Quick Start
# Deploy container directly to serverless Cloud Run
gcloud run deploy web-service \
--image us-docker.pkg.dev/cloudrun/container/hello \
--platform managed \
--region us-central1 \
--allow-unauthenticated
Core Concepts
Cloud Run Container Service Architecture
Deploying containerized microservices that scale to zero and scale up dynamically:
# cloud-run-service.yaml
apiVersion: serving.knative.dev/v1
kind: Service
metadata:
name: order-service
labels:
cloud.googleapis.com/location: us-central1
spec:
template:
metadata:
annotations:
autoscaling.knative.dev/minScale: "1"
autoscaling.knative.dev/maxScale: "50"
run.googleapis.com/cpu-throttling: "true"
spec:
containerConcurrency: 80
timeoutSeconds: 300
containers:
- image: us-central1-docker.pkg.dev/my-project/apps/order-service:v2.1
resources:
limits:
cpu: "1000m"
memory: "1Gi"
env:
- name: DB_USER
valueFrom:
secretKeyRef:
name: db-credentials
key: username
Pub/Sub Event Streaming with Python
Publishing and subscribing to real-time events with high throughput:
from google.cloud import pubsub_v1
import json
project_id = "my-gcp-project"
topic_id = "telemetry-events"
publisher = pubsub_v1.PublisherClient()
topic_path = publisher.topic_path(project_id, topic_id)
data = json.dumps({"sensor_id": 401, "temp": 24.5, "status": "OK"}).encode("utf-8")
future = publisher.publish(topic_path, data, origin="edge-gateway")
message_id = future.result()
print(f"Published message ID: {message_id}")
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.
- 26d ago Changed · +5 lines fd602f51e24e
- 1mo ago Changed · +98 lines · +23 tokens per session d75e26594b6d
- 1mo ago First seen · 45 lines · 23 tokens per session scan A 20658fc9e65d
gcp is a skill published in the GitHub repository G1Joshi/Agent-Skills (15 stars, last pushed 26d ago), licensed MIT. It adds 46 tokens to every session and 1,206 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 2026-09-03.
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