No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by antonbabenko · Claude Skill · ★ 2.4k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is terraform-skill safe to install? View the security audit →
Terraform & OpenTofu Skill for AI Agents Terraform and OpenTofu best-practices skill for AI coding agents (Claude Code, Cursor, Copilot, Gemini CLI, OpenCode, Codex, and others). Covers testing strategies, module patterns, CI/CD workflows, and production infrastructure code. What this skill provides Testing frameworks Decision matrix for native tests vs Terratest Testing workflows (static, integration, E2E) Examples and patterns Module development Structure and naming conventions Versioning strategies Public vs private module patterns State management Remote backends (S3, Azure, GCS, Terraform Cloud) Locking and security Multi-team state isolation Migration and recovery procedures CI/CD integration GitHub Actions workflows GitLab CI examples Cost optimization Compliance automation Security and compliance Trivy and Checkov integration Policy-as-code patterns Compliance scanning workflows Quick reference Decision flowcharts Common patterns (DO vs DON'T) Cheat sheets Installation This plugin is distributed via Claude Code marketplace using .claude-p
| Stars | 2,365 |
| Forks | 211 |
| Category | Claude Skill |
| Quality Score | 70.3317513731703/100 |
| Open Issues | 3 |
| Last Updated | 2026-07-03 |
| Created | 2026-01-15 |
| Platforms | claude-code |
| Est. Tokens | ~17k |
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terraform-skill is Terraform & OpenTofu Skill for AI Agents - testing, modules, CI/CD, and production patterns. It is categorized as a Claude Skill with 2.4k GitHub stars.
You can find installation instructions and usage details in the terraform-skill GitHub repository at github.com/antonbabenko/terraform-skill. The project has 2.4k stars and 211 forks, indicating an active community.
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: