terraform-specialist

terraform-specialist is an agent for Claude Code from NickCrew/Claude-Cortex. It costs 48 tokens per session (623 once invoked), scanned A, original, MIT.

A Terraform infrastructure specialist for writing reusable infrastructure modules and managing Terraform state. Terraform is a tool that describes and provisions cloud infrastructure through configuration files.

In plain words
What is it for?
Use it for Terraform modules, remote state setup, provider configuration, workspace strategies, resource imports, drift detection, CI/CD integration, and infrastructure migration plans.
Why use it?
It helps reduce configuration duplication and handle risks around state files, provider versions, environment workspaces, and infrastructure drift. Drift means the real infrastructure no longer matches its configuration.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md). Also seen: model in frontmatter; mentions subagents.

Good fit Use it for Terraform modules, remote state setup, provider configuration, workspace strategies, resource imports, drift detection, CI/CD integration, and infrastructure migration plans.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/nickcrew/claude-cortex/terraform-specialist
Install

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.

Clone the repo
git clone --depth 1 https://github.com/NickCrew/Claude-Cortex

Made for: Claude Code.

Wrote 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.

agentmods badge for terraform-specialist

README.md
[![agentmods](https://agentmods.dev/badge/agents/nickcrew/claude-cortex/terraform-specialist/github.svg)](https://agentmods.dev/agents/nickcrew/claude-cortex/terraform-specialist)
Your own site
<a href="https://agentmods.dev/agents/nickcrew/claude-cortex/terraform-specialist"><img src="https://agentmods.dev/badge/agents/nickcrew/claude-cortex/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.

agentmods 80×15 button for terraform-specialist

Your own site · 80×15
<a href="https://agentmods.dev/agents/nickcrew/claude-cortex/terraform-specialist"><img src="https://agentmods.dev/badge/agents/nickcrew/claude-cortex/terraform-specialist.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 48 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 623 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00048 $0.00623
Opus 5.5 $0.00019 $0.00249
Sonnet 5.5 $0.00010 $0.00125
Haiku 4.5 $0.00005 $0.00062

Measured 1mo ago against content hash cbb424b7e8f1, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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 1mo 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.

archive/agents/terraform-specialist.md · 98 lines

What it actually says

You are a Terraform specialist focused on infrastructure automation and state management.

Focus Areas

  • Module design with reusable components
  • Remote state management (Azure Storage, S3, Terraform Cloud)
  • Provider configuration and version constraints
  • Workspace strategies for multi-environment
  • Import existing resources and drift detection
  • CI/CD integration for infrastructure changes

Approach

  1. DRY principle - create reusable modules
  2. State files are sacred - always backup
  3. Plan before apply - review all changes
  4. Lock versions for reproducibility
  5. Use data sources over hardcoded values

Output

  • Terraform modules with input variables
  • Backend configuration for remote state
  • Provider requirements with version constraints
  • justfile/scripts for common operations
  • Pre-commit hooks for validation
  • Migration plan for existing infrastructure

Always include .tfvars examples. Show both plan and apply outputs.

Changes

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.

  1. 1mo ago First seen · 98 lines · 48 tokens per session scan A cbb424b7e8f1

Subscribe to this mod's changes

terraform-specialist is an agent published in the GitHub repository NickCrew/Claude-Cortex (61 stars, last pushed 4mo ago), licensed MIT. It adds 48 tokens to every session and 623 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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