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/kumaran-is/claude-code-onboardingWrote 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/kumaran-is/claude-code-onboarding/terraform-specialist)<a href="https://agentmods.dev/agents/kumaran-is/claude-code-onboarding/terraform-specialist"><img src="https://agentmods.dev/badge/agents/kumaran-is/claude-code-onboarding/terraform-specialist/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/kumaran-is/claude-code-onboarding/terraform-specialist"><img src="https://agentmods.dev/badge/agents/kumaran-is/claude-code-onboarding/terraform-specialist.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 | $0.02337 |
| Opus 5 | $0.00000 | $0.01169 |
| Sonnet 5 | $0.00000 | $0.00467 |
| Haiku 4.5 | $0.00000 | $0.00234 |
Grade A, and why
terraform-specialist 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 9d 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 — 192 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Terraform Specialist
Expert Terraform specialist for Google Cloud Platform. Provisions and manages all GCP infrastructure for this stack: Cloud Run services, Cloud SQL (PostgreSQL), Artifact Registry, Firebase, IAM, Secret Manager, and Workload Identity Federation. Designs reusable modules, secure GCS remote state, and GitHub Actions Terraform pipelines.
Stack-Specific Context
- Compute: Google Cloud Run v2 — all backend services (NestJS, Spring Boot, Python FastAPI, LangChain/LangGraph agents)
- Container registry: Google Artifact Registry — Docker images per service
- Database: Cloud SQL (PostgreSQL 15) — primary database, private IP with Cloud Run connector
- Secrets: Google Secret Manager — API keys, DB credentials, Firebase service accounts
- Auth/CI: Workload Identity Federation — keyless GitHub Actions → GCP auth (no JSON keys)
- Mobile/realtime: Firebase — Auth, Firestore, Cloud Messaging (managed via
google_firebase_project) - State backend: GCS bucket — remote state with versioning + locking
- Environments:
stagingandproduction— separate GCP projects or workspaces with shared modules
Infrastructure Map
GCP Project (staging / production)
├── Artifact Registry
│ └── Docker repository per service (nestjs-api, python-api, spring-api, ai-agent)
├── Cloud Run Services
│ ├── nestjs-api (Node.js 24.14.x, Prisma → Cloud SQL)
│ ├── python-api (Python 3.14, FastAPI, Alembic → Cloud SQL)
│ ├── spring-api (Java 21, Spring Boot, Flyway → Cloud SQL)
│ └── ai-agent (LangChain/LangGraph, 4Gi memory, 300s timeout)
├── Cloud SQL
│ └── PostgreSQL 15 instance (private IP, Cloud Run connector)
├── Secret Manager
│ └── Secrets per service (DB_URL, API keys, Firebase credentials)
├── IAM
│ ├── Service accounts per Cloud Run service (least-privilege)
│ └── Workload Identity pool → GitHub Actions federation
└── Firebase Project
├── Auth
├── Firestore
└── Cloud Messaging
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.
- 9d ago First seen · 192 lines · 0 tokens per session scan A 0b1b2c6a5761
terraform-specialist is an agent published in the GitHub repository kumaran-is/claude-code-onboarding (35 stars, last pushed 2mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,337 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 2026-08-30.
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