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terraform-skill

Provides Terraform module, testing, CI/CD, security and AWS stack-layout guidance layered with Provectus conventions (exact version pinning, required tags, ephemeral secrets). Use when working with Terraform - creating modules, writing tests (native test framework, Terratest), setting up CI/CD pipelines, reviewing configurations, choosing between testing approaches, debugging state issues, implementing security scanning (trivy, checkov), or making infrastructure-as-code architecture decisions. OpenTofu is largely compatible; verify feature floors. Does not cover application code, Kubernetes manifests, or CloudFormation/CDK.

85

1.36x
Quality

91%

Does it follow best practices?

Impact

97%

1.36x

2 of 3 eval scenarios. Add 1 more for a full score.

SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Quality

Content

78%Weight 40%Scale 1-5

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

A well-structured, highly actionable body with excellent progressive disclosure into verified one-level-deep references and explicit validation gates on the risky apply workflow. Its main weakness is token efficiency: a sizable fraction of the body restates general Terraform best practices Claude already knows, some of it duplicating the reference files it points to.

Suggestions

Compress the textbook sections — Naming Conventions, count vs for_each basics, Variable/Resource Block Ordering, and the Standard Module Structure tree — into one-line rules plus pointers to references/code-patterns.md and references/module-patterns.md, keeping only the Provectus-specific overrides in the body.

De-duplicate the body against the bundle: the count/for_each GOOD/BAD snippets and the naming examples restate content that already lives in code-patterns.md, so the body can carry the rule and the pointer and drop the duplicated code blocks.

Add a short feedback loop to the apply/test workflows (e.g. 'if trivy/checkov fail or the plan shows unexpected destroys: fix and re-run plan before requesting approval') so error recovery is in the body rather than only in quick-reference.md's troubleshooting section.

DimensionReasoningScore

Conciseness

The ~465-line body is efficient where it carries the Provectus conventions (pinning, layers, cross-root wiring, MCP resolution, apply workflow), but several sections restate textbook Terraform knowledge Claude already has — naming conventions with six code examples, count vs for_each basics with GOOD/BAD blocks, variable block ordering, the standard module directory tree, and the features-by-version table. This fits anchor 3 ('mostly efficient but includes some unnecessary explanation or could be tightened') rather than anchor 2, because the unnecessary material is interleaved with a large amount of genuinely non-obvious, org-specific signal rather than being pure padding.

3 / 5

Actionability

Fully executable guidance throughout: concrete HCL (locals.tf example, tags merge, variable validation block), exact commands ('terraform plan -out=plan.tfplan', 'trivy config .', 'checkov -d .'), decision matrices, and a four-step apply workflow. The one placeholder ('required_version = "= X.Y.Z"') is explicitly justified — 'Version numbers in this skill are illustrative — never copy them' — with a concrete resolution protocol (MCP lookup, then the Registry HTTP API), which the rubric accepts.

5 / 5

Workflow Clarity

Sequences are clear with explicit checkpoints: the apply workflow numbers steps and gates step 4 on 'Wait for explicit approval', security scanning must 'pass before a plan', and test generation starts with 'Confirm the resource schema'. It falls short of anchor 5 because in-body error-recovery feedback loops are absent — there is no 'if validation/plan fails, fix and retry' loop in the body (troubleshooting is delegated to quick-reference.md), which is a minor validation gap characteristic of anchor 4. The destructive-operation cap does not apply since apply is explicitly gated on approval.

4 / 5

Progressive Disclosure

All seven referenced files (references/aws-stack-layout.md, code-patterns.md, module-patterns.md, testing-frameworks.md, ci-cd-workflows.md, security-compliance.md, quick-reference.md) exist, are one level deep with no nested references, and the deep-link anchors used in the body (e.g. '#security-baseline', '#cost-review', '#stack-layers', '#count-vs-for_each-deep-dive') resolve to real headings. Every detail topic is signaled inline at the point of use and consolidated in a References index with per-file descriptions — clear overview, appropriate split, easy navigation.

5 / 5

Total

17

/

20

Passed

Description

100%Weight 40%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.

An exemplary description: dense, explicit 'what' plus an explicit 'Use when' clause with concrete trigger phrases, named tools, ecosystem synonyms, and clear scope exclusions. It matches the strongest reference examples in the rubric with no padding.

DimensionReasoningScore

Specificity

The description enumerates many concrete actions with named tools: 'creating modules, writing tests (native test framework, Terratest), setting up CI/CD pipelines, reviewing configurations, choosing between testing approaches, debugging state issues, implementing security scanning (trivy, checkov), or making infrastructure-as-code architecture decisions' — comprehensive coverage of the domain with specifics like exact version pinning and required tags in the 'what' clause.

5 / 5

Completeness

Explicitly answers both questions: what ('Provides Terraform module, testing, CI/CD, security and AWS stack-layout guidance layered with Provectus conventions (exact version pinning, required tags, ephemeral secrets)') and when ('Use when working with Terraform - creating modules, ... or making infrastructure-as-code architecture decisions') with concrete trigger phrases, plus explicit scope exclusions ('Does not cover application code, Kubernetes manifests, or CloudFormation/CDK').

5 / 5

Trigger Term Quality

Natural trigger terms are comprehensive and include synonyms users actually say: 'Terraform', 'modules', 'tests', 'CI/CD pipelines', 'trivy', 'checkov', 'Terratest', 'debugging state issues', plus the synonyms 'OpenTofu' and 'infrastructure-as-code'. Anti-drift check: anchor 4 ('a few natural terms missing') fits less well than anchor 5, since both tool synonyms and ecosystem variants are present.

5 / 5

Distinctiveness Conflict Risk

Clear niche (Terraform conventions) with distinct triggers and explicit negative boundary ('Does not cover application code, Kubernetes manifests, or CloudFormation/CDK'), plus OpenTofu compatibility guidance — minimal conflict risk with adjacent AWS or Kubernetes skills.

5 / 5

Total

20

/

20

Passed

Validation

100%

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

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository

provectus/awos-recruitment

Path

.claude/skills/terraform-skill/SKILL.md

Reviewed

Table of Contents

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