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terraform-aws-modules

Terraform module creation for AWS — reusable modules, state management, and HCL best practices. Use when building or reviewing Terraform AWS infrastructure.

62

Quality

73%

Does it follow best practices?

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tessl review fix ./plugins/AI-Agents-Safe-Coding-Skills/skills/terraform-aws-modules/SKILL.md

The canonical home for this skill is terraform-aws-modules in administrakt0r/AI-Agents-Safe-Coding-Skills

SKILL.md
Quality
Evals
Security

Quality

Content

68%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

This is a solid, well-structured Terraform skill that provides concrete HCL examples and clear best practices. Its main weaknesses are the lack of a sequenced workflow with validation checkpoints (especially important for destructive infrastructure operations) and a minor syntax error in the VPC variable block. The content is reasonably concise and actionable but could be elevated by adding an explicit plan→review→apply→verify workflow.

Suggestions

Add an explicit sequenced workflow for module development and deployment: init → plan → review plan output → apply → verify, with a feedback loop for handling plan errors or unexpected changes.

Fix the HCL syntax error in the VPC variables.tf example — `variable "cidr" { type = string, default = "10.0.0.0/16" }` should use separate lines or proper HCL block syntax, not comma separation.

Add a brief example showing how to call/consume the VPC module from a root module, making the reusable module pattern fully executable end-to-end.

DimensionReasoningScore

Conciseness

Generally efficient with minimal over-explanation. The 'Use this skill when' and 'Do not use this skill when' sections add some bulk but are reasonable for scoping. The persona sentence at the top ('You are an expert...') is slightly unnecessary padding. Overall, most tokens earn their place.

4 / 5

Actionability

Provides concrete, executable HCL examples for VPC module structure and remote state backend configuration. The instructions are specific (e.g., 'Use `for_each` over `count`'). Minor gap: the VPC module example has a syntax error in the variable block (`type = string, default = ...` should use braces/newlines, not commas), and there's no complete root module example showing how to call the module.

4 / 5

Workflow Clarity

The instructions list steps but they read more like a checklist of best practices than a sequenced workflow. There's no explicit validation feedback loop — step 4 mentions `terraform fmt` and `terraform validate` but doesn't specify what to do if validation fails. For Terraform operations (which can be destructive with `apply`), the absence of a plan-review-apply-verify sequence with explicit checkpoints is a notable gap.

3 / 5

Progressive Disclosure

Content is well-organized with clear sections (Instructions, Examples, Best Practices, Troubleshooting). For a standalone skill with no bundle files, the structure is appropriate and navigable. It could benefit from references to separate files for more advanced topics (e.g., workspace strategies, module testing, CI/CD integration) rather than leaving those topics unaddressed.

4 / 5

Total

15

/

20

Passed

Description

78%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

This is a solid description that clearly identifies its domain (Terraform for AWS) and includes an explicit 'Use when' clause with relevant trigger terms. Its main weakness is that the capability descriptions are somewhat categorical ('state management', 'best practices') rather than listing concrete specific actions, and it could benefit from additional trigger term synonyms like 'IaC' or '.tf files'.

Suggestions

Add more concrete actions such as 'create VPC modules', 'configure remote state backends', 'define input/output variables' to increase specificity.

Include additional trigger synonyms like 'IaC', 'infrastructure as code', '.tf files', or common AWS service names (e.g., 'EC2', 'S3', 'Lambda') to improve keyword coverage.

DimensionReasoningScore

Specificity

Names the domain (Terraform/AWS) and mentions a few actions ('module creation', 'reusable modules', 'state management', 'HCL best practices'), but these are somewhat high-level categories rather than concrete specific actions like 'create VPC modules' or 'configure remote state backends'.

3 / 5

Completeness

Clearly answers both 'what' (Terraform module creation for AWS, reusable modules, state management, HCL best practices) and 'when' ('Use when building or reviewing Terraform AWS infrastructure') with an explicit trigger clause.

5 / 5

Trigger Term Quality

Includes strong natural keywords like 'Terraform', 'AWS', 'HCL', 'modules', 'state management', and 'infrastructure'. Missing some common variations like 'IaC', 'infrastructure as code', '.tf files', or specific AWS service names users might mention.

4 / 5

Distinctiveness Conflict Risk

Fairly distinct by combining Terraform + AWS + module creation, which narrows the niche well. Minor overlap risk with general AWS skills or general Terraform skills that aren't AWS-specific, but the combination is reasonably distinctive.

4 / 5

Total

16

/

20

Passed

Validation

90%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation10 / 11 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

10

/

11

Passed

Repository
administrakt0r/AI-Agents-Safe-Coding-Skills
Reviewed

Table of Contents

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