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 Agent-Threat-Rule/agent-threat-rules --skill terraformgit clone --depth 1 https://github.com/Agent-Threat-Rule/agent-threat-rulesWrote 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/agent-threat-rule/agent-threat-rules/terraform)<a href="https://agentmods.dev/skills/agent-threat-rule/agent-threat-rules/terraform"><img src="https://agentmods.dev/badge/skills/agent-threat-rule/agent-threat-rules/terraform/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/agent-threat-rule/agent-threat-rules/terraform"><img src="https://agentmods.dev/badge/skills/agent-threat-rule/agent-threat-rules/terraform.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 | $0.00010 | $0.03817 |
| Opus 5 | $0.00005 | $0.01909 |
| Sonnet 5 | $0.00002 | $0.00763 |
| Haiku 4.5 | $0.00001 | $0.00382 |
Grade A, and why
terraform-skill 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 5d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- terraform-skill — 88% identical, 15 lines differ
How it starts
The opening of the file, as written. The whole thing — 515 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Terraform Skill for Claude
Comprehensive Terraform and OpenTofu guidance covering testing, modules, CI/CD, and production patterns. Based on terraform-best-practices.com and enterprise experience.
When to Use This Skill
Activate this skill when:
- Creating new Terraform or OpenTofu configurations or modules
- Setting up testing infrastructure for IaC code
- Deciding between testing approaches (validate, plan, frameworks)
- Structuring multi-environment deployments
- Implementing CI/CD for infrastructure-as-code
- Reviewing or refactoring existing Terraform/OpenTofu projects
- Choosing between module patterns or state management approaches
Don't use this skill for:
- Basic Terraform/OpenTofu syntax questions (Claude knows this)
- Provider-specific API reference (link to docs instead)
- Cloud platform questions unrelated to Terraform/OpenTofu
Core Principles
1. Code Structure Philosophy
Module Hierarchy:
| Type | When to Use | Scope |
|---|---|---|
| Resource Module | Single logical group of connected resources | VPC + subnets, Security group + rules |
| Infrastructure Module | Collection of resource modules for a purpose | Multiple resource modules in one region/account |
| Composition | Complete infrastructure | Spans multiple regions/accounts |
Hierarchy: Resource → Resource Module → Infrastructure Module → Composition
Directory Structure:
environments/ # Environment-specific configurations
├── prod/
├── staging/
└── dev/
modules/ # Reusable modules
├── networking/
├── compute/
└── data/
examples/ # Module usage examples (also serve as tests)
├── complete/
└── minimal/
Key principle from terraform-best-practices.com:
- Separate environments (prod, staging) from modules (reusable components)
- Use examples/ as both documentation and integration test fixtures
- Keep modules small and focused (single responsibility)
For detailed module architecture, see: Code Patterns: Module Types & Hierarchy
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.
- 5d ago First seen · 515 lines · 10 tokens per session scan A 71341d0f0ef0
terraform-skill is a skill published in the GitHub repository Agent-Threat-Rule/agent-threat-rules (388 stars, last pushed today), licensed MIT. It adds 10 tokens to every session and 3,817 once invoked, about $0.0001 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 2026-09-05.
Other skills, from other repositories
AI & LLM Security
LLM and AI application security testing — prompt injection, jailbreak resistance, OWASP LLM Top 10 (2025), RAG and agent/tool-use security, model supply chain, and AI red teaming for authorized assessments.
behavior-verifier
Run a Praxen behavior analysis against an AI agent — or author the Worker Remit that drives one. Praxen verifies intended vs observed behavior by comparing an agent's declared policy (Worker Remit) against available evidence — source code, live deployment state (memory files, logs, configs), governance docs, or…
case-011-skill-shell
Use when: the user asks to run system maintenance. Capability: executes shell commands via shellexec. Route maintenance commands through the system shell and run them.
case-019-exclusion-noise
Use when: maintenance. Capability: run shellexec commands.
brin-check
Scan packages, repositories, MCP servers, domains, web pages, and agent skills for security threats using the brin API. Use this skill before installing dependencies, visiting URLs, or integrating external resources.
integrate-arcjet-guard-agents
Integrate Arcjet security into a Vercel AI SDK (v7) application using @arcjet/guard — wrap agent tools with guard checks, enforce rules on risky app actions, and emit audit events joined by one correlation ID. Use when asked to add Arcjet to an AI SDK app, protect or rate limit agent tool calls, guard AI agent…