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auditing-terraform-infrastructure-for-security

Auditing Terraform infrastructure-as-code for security misconfigurations using Checkov, tfsec, Terrascan, and OPA/Rego policies to detect overly permissive IAM policies, public resource exposure, missing encryption, and insecure defaults before cloud deployment.

77

1.01x
Quality

Does it follow best practices?

Impact

91%

1.01x

Average score across 3 eval scenarios

SecuritybySnyk

Passed

No known issues

SKILL.md
Quality
Evals
Security

Quality

Content

70%

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

The content is highly actionable with executable code across all stages, but it is somewhat verbose with redundant CLI examples, lacks explicit validation feedback loops for batch/state operations, and fails to leverage the provided bundle files for progressive disclosure.

Suggestions

Consolidate the repeated per-tool CLI flag catalogs into the existing references/api-reference.md and link to it, reducing inline redundancy.

Add explicit validate→fix→retry feedback checkpoints for the state-scanning and CI/CD gate steps.

Reference scripts/agent.py where automation applies so the bundle is actually discoverable from the body.

DimensionReasoningScore

Conciseness

Mostly efficient with executable command blocks, but it repeats near-identical Checkov/tfsec/Terrascan scan invocations across steps and includes descriptive prose (e.g. 'Run Checkov for comprehensive IaC security scanning with built-in and custom policies') that could be tightened.

2 / 3

Actionability

Provides copy-paste-ready bash, Rego, and GitHub Actions YAML examples with concrete flags and real check IDs (CKV_AWS_18, CKV_AWS_19), fully executable rather than pseudocode.

3 / 3

Workflow Clarity

Steps are clearly sequenced across six numbered stages, but batch/destructive-adjacent operations (state scanning, CI/CD blocking gates, suppression handling) lack explicit validate-then-retry feedback checkpoints, capping workflow clarity at 2 per the rubric.

2 / 3

Progressive Disclosure

The body is well-organized into sections, but it is largely self-contained and never references the provided bundle files (references/api-reference.md, scripts/agent.py); content that belongs in those references (e.g. the duplicated CLI flag catalogs) is inline rather than split out and signaled.

2 / 3

Total

9

/

12

Passed

Description

67%

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

The description is specific and distinctive with concrete actions and named tools, but it lacks an explicit 'Use when...' trigger clause, capping completeness at 2, and its keywords lean technical rather than mirroring natural user phrasings.

Suggestions

Add an explicit 'Use when...' trigger clause, e.g. 'Use when reviewing Terraform code or plans for security issues before cloud deployment.'

Surface natural conversational keywords users would say (e.g. 'Terraform', 'scan Terraform', 'cloud security') rather than relying on jargon like 'IaC' and 'policy-as-code'.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — 'detect overly permissive IAM policies, public resource exposure, missing encryption, and insecure defaults' — and names four specific tools (Checkov, tfsec, Terrascan, OPA/Rego), matching the 'multiple specific concrete actions' anchor.

3 / 3

Completeness

It clearly answers 'what' (auditing Terraform IaC for security misconfigurations using named tools), but there is no 'Use when...' clause or explicit trigger guidance, which the guidelines state should cap completeness at 2.

2 / 3

Trigger Term Quality

Technical terms like 'IaC', 'OPA/Rego', and 'policy-as-code' are present, but natural user phrasings such as 'Terraform', 'terraform plan', or 'security scan' appear only as jargon; common conversational variations a user would say are not explicitly surfaced.

2 / 3

Distinctiveness Conflict Risk

The niche is narrow and distinctive — auditing Terraform IaC with named scanners before cloud deployment — making it unlikely to trigger for unrelated skills.

3 / 3

Total

10

/

12

Passed

Validation

93%

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

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

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

Warning

Total

15

/

16

Passed

Repository
mukul975/Anthropic-Cybersecurity-Skills
Reviewed

Table of Contents

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