Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/armanzeroeight/fastagent-pluginsnpx agentmods add skills/armanzeroeight/fastagent-plugins/terraform-module-scaffolderWrote 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/armanzeroeight/fastagent-plugins/terraform-module-scaffolder)<a href="https://agentmods.dev/skills/armanzeroeight/fastagent-plugins/terraform-module-scaffolder"><img src="https://agentmods.dev/badge/skills/armanzeroeight/fastagent-plugins/terraform-module-scaffolder/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/armanzeroeight/fastagent-plugins/terraform-module-scaffolder"><img src="https://agentmods.dev/badge/skills/armanzeroeight/fastagent-plugins/terraform-module-scaffolder.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 | $0.00073 | $0.00727 |
| Opus 5.5 | $0.00029 | $0.00291 |
| Sonnet 5.5 | $0.00015 | $0.00145 |
| Haiku 4.5 | $0.00007 | $0.00073 |
Grade A, and why
terraform-module-scaffolder 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 2mo 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 — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Terraform Module Scaffolder
This skill helps create well-structured Terraform modules following best practices and conventions.
When to Use
Use this skill when:
- Creating a new Terraform module from scratch
- Setting up standardized module structure
- Need templates for common AWS/Azure/GCP resources
- Want to ensure module follows Terraform conventions
Module Structure
Generate modules with this standard structure:
module-name/
├── main.tf # Primary resource definitions
├── variables.tf # Input variables
├── outputs.tf # Output values
├── versions.tf # Provider and Terraform version constraints
├── README.md # Module documentation
└── examples/ # Usage examples (optional)
└── basic/
└── main.tf
Instructions
1. Gather Requirements
Ask the user:
- What is the module name?
- What cloud provider (AWS, Azure, GCP, multi-cloud)?
- What resources should the module create?
- Any specific requirements or constraints?
2. Create Core Files
main.tf - Include:
- Resource definitions with clear naming
- Local values for computed attributes
- Data sources if needed
variables.tf - Include:
- Required variables first, then optional
- Clear descriptions for each variable
- Sensible defaults where appropriate
- Type constraints (string, number, bool, list, map, object)
- Validation rules for critical inputs
outputs.tf - Include:
- Resource IDs and ARNs
- Connection information (endpoints, URLs)
- Computed attributes that other modules might need
- Clear descriptions for each output
versions.tf - Include:
- Terraform version constraint (use ~> for minor version)
- Provider version constraints
- Required providers block
README.md - Include:
- Module description and purpose
- Usage example
- Requirements section
- Inputs table (can be auto-generated later)
- Outputs table (can be auto-generated later)
3. Apply Best Practices
- Use consistent naming:
resource_type-purpose(e.g.,s3-logs,vpc-main) - Add tags to all taggable resources with variables for custom tags
- Use
terraform fmtformatting - Include lifecycle blocks where appropriate
- Add
depends_ononly when implicit dependencies don't work - Use
countorfor_eachfor conditional resources
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.
- 2mo ago First seen · 114 lines · 73 tokens per session scan A dfed701535e8
terraform-module-scaffolder is a skill published in the GitHub repository armanzeroeight/fastagent-plugins (29 stars, last pushed 3mo ago), licensed MIT. It adds 73 tokens to every session and 727 once invoked, about $0.0003 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.
terraform-module-scaffolder compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| terraform-module-scaffolderarmanzeroeight/fastagent-plugins | Skill | 29 | 3mo ago | MIT | A | 73 | Claude Code |
| guizang-ppt-skillproma-ai/Proma | Skill | 2.2k | 1mo ago | AGPL-3.0 | A | 161 | Claude Code, Codex |
| proma-coachproma-ai/Proma | Skill | 2.2k | 1mo ago | AGPL-3.0 | A | 386 | Claude Code, Codex |
| skill-creatorproma-ai/Proma | Skill | 2.2k | 1mo ago | AGPL-3.0 | A | 64 | Claude Code, Codex |
| automationproma-ai/Proma | Skill | 2.2k | 1mo ago | AGPL-3.0 | A | 390 | Claude Code, Codex |
| docxproma-ai/Proma | Skill | 2.2k | 1mo ago | AGPL-3.0 | A | 168 | Claude Code, Codex |
| agent-collaborationproma-ai/Proma | Skill | 2.2k | 1mo ago | AGPL-3.0 | A | 101 | Claude Code, Codex |