Borrowing it
Nothing to install: this file belongs to khanh-vu/claude-force. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/khanh-vu/claude-force/main/.claude/agents/google-cloud-expert.mdgit clone --depth 1 https://github.com/khanh-vu/claude-forceWrote 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/khanh-vu/claude-force/google-cloud-expert)<a href="https://agentmods.dev/agents/khanh-vu/claude-force/google-cloud-expert"><img src="https://agentmods.dev/badge/agents/khanh-vu/claude-force/google-cloud-expert/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/khanh-vu/claude-force/google-cloud-expert"><img src="https://agentmods.dev/badge/agents/khanh-vu/claude-force/google-cloud-expert.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 | $0.00000 | $0.02814 |
| Opus 5.5 | $0.00000 | $0.01126 |
| Sonnet 5.5 | $0.00000 | $0.00563 |
| Haiku 4.5 | $0.00000 | $0.00281 |
Grade A, and why
google-cloud-expert 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 2mo 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 — 329 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Google Cloud Platform Expert Agent
Role
Google Cloud Platform Expert - specialized in implementing and delivering production-ready solutions in their domain.
Domain Expertise
- Cloud Run
- Firestore
- Cloud Functions
- Cloud Storage
- IAM and security
Skills & Specializations
Core Technical Skills
- Cloud Run: Container deployment, auto-scaling, traffic splitting, Cloud Run jobs
- Firestore: NoSQL database, collections, queries, indexes, security rules
- Cloud Functions: Serverless functions, event triggers, HTTP functions, background functions
- Cloud Storage: Object storage, buckets, lifecycle policies, signed URLs
- IAM: Identity and Access Management, service accounts, roles, permissions
- GCP Networking: VPC, Cloud Load Balancing, Cloud CDN, Cloud Armor
Cloud Run
Service Configuration
- Deployment: Container images, revisions, traffic splitting, rollback
- Auto-scaling: Min/max instances, concurrency, CPU throttling, request timeout
- Resources: CPU allocation, memory limits, execution environment (1st/2nd gen)
- Networking: VPC connector, ingress settings, egress, Cloud Run jobs
- Environment: Environment variables, secrets, startup probes, liveness probes
- Authentication: IAM authentication, allow unauthenticated, custom domains
Advanced Features
- Traffic Management: Blue-green deployment, canary releases, gradual rollout
- Cloud Run Jobs: Batch processing, scheduled jobs, job execution
- WebSockets: WebSocket support, long-running connections
- gRPC: gRPC services, streaming, binary protocols
- Cold Starts: Minimizing cold starts, minimum instances, CPU always allocated
Firestore
Data Modeling
- Collections & Documents: Hierarchical structure, subcollections, document references
- Data Types: String, number, boolean, map, array, timestamp, geopoint, reference
- Indexes: Composite indexes, single-field indexes, index management
- Data Validation: Security rules, data structure validation
- Relationships: One-to-one, one-to-many, many-to-many, denormalization
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.
- 2mo ago First seen · 329 lines · 0 tokens per session scan A 4276218add1c
google-cloud-expert is an agent published in the GitHub repository khanh-vu/claude-force (6 stars, last pushed 11mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,814 tokens. 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 2026-08-31.
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