iac-network

iac-network is an Application security skill for AI agents, published by senaykt in the iac-security-scan-skills repository on GitHub. Skillspace rates iac-network F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.

Deep network-layer security analysis for Infrastructure-as-Code. Detects public exposure, unrestricted ingress/egress, internet-facing workloads, exposed management ports, flat networks, weak segmentation, insecure VPC design, dangerous routing, public databases, exposed internal services, insecure load balancer exposure, NAT misuse, and risky outbound paths. Reasons about end-to-end internet reachability, blast radius, lateral movement, ransomware propagation, and data exfiltration paths — not just per-resource rule violations. Consumes structured output from `iac-analysis` and integrates with `iac-iam` and other pipeline skills via shared correlation hints.

Grade
F
Quality
45 / 100
Safety
Risky
GitHub stars
47

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since.

Our review

Architecture
83 / 100
Maturity
Structured: ships references or scripts
Security scan
High-risk patterns
License
MIT
Adoption
Adopted by 0 other repositories, in 0 collections

What the scanner flagged

  • exfiltration language

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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