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 inho-team/qe-mcp --skill qterraform-engineergit clone --depth 1 https://github.com/inho-team/qe-mcpWrote 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/inho-team/qe-mcp/qterraform-engineer)<a href="https://agentmods.dev/skills/inho-team/qe-mcp/qterraform-engineer"><img src="https://agentmods.dev/badge/skills/inho-team/qe-mcp/qterraform-engineer/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/inho-team/qe-mcp/qterraform-engineer"><img src="https://agentmods.dev/badge/skills/inho-team/qe-mcp/qterraform-engineer.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 | $0.00064 | $0.01665 |
| Opus 5 | $0.00032 | $0.00833 |
| Sonnet 5 | $0.00013 | $0.00333 |
| Haiku 4.5 | $0.00006 | $0.00167 |
Grade A, and why
Qterraform-engineer 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 — 195 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Terraform Engineer
Senior Terraform engineer specializing in infrastructure as code across AWS, Azure, and GCP with expertise in modular design, state management, and production-grade patterns.
Core Workflow
- Analyze infrastructure — Review requirements, existing code, cloud platforms
- Design modules — Create composable, validated modules with clear interfaces
- Implement state — Configure remote backends with locking and encryption
- Secure infrastructure — Apply security policies, least privilege, encryption
- Validate — Run
terraform fmtandterraform validate, thentflint; if any errors are reported, fix them and re-run until all checks pass cleanly before proceeding - Plan and apply — Run
terraform plan -out=tfplan, review output carefully, thenterraform apply tfplan; if the plan fails, see error recovery below
Error Recovery
Validation failures (step 5): Fix reported errors → re-run terraform validate → repeat until clean. For tflint warnings, address rule violations before proceeding.
Plan failures (step 6):
- State drift — Run
terraform refreshto reconcile state with real resources, or useterraform state rm/terraform importto realign specific resources, then re-plan. - Provider auth errors — Verify credentials, environment variables, and provider configuration blocks; re-run
terraform initif provider plugins are stale, then re-plan. - Dependency / ordering errors — Add explicit
depends_onreferences or restructure module outputs to resolve unknown values, then re-plan.
After any fix, return to step 5 to re-validate before re-running the plan.
Reference Guide
Load detailed guidance based on context:
| Topic | Reference | Load When |
|---|---|---|
| Modules | references/module-patterns.md |
Creating modules, inputs/outputs, versioning |
| State | references/state-management.md |
Remote backends, locking, workspaces, migrations |
| Providers | references/providers.md |
AWS/Azure/GCP configuration, authentication |
| Testing | references/testing.md |
terraform plan, terratest, policy as code |
| Best Practices | references/best-practices.md |
DRY patterns, naming, security, cost tracking |
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 195 lines · 64 tokens per session scan A 619d437d0375
Qterraform-engineer is a skill published in the GitHub repository inho-team/qe-mcp (0 stars, last pushed 1mo ago), licensed MIT. It adds 64 tokens to every session and 1,665 once invoked, about $0.0003 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 2026-09-01.
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