iac-iam
iac-iam is an Application security skill for AI agents, published by senaykt in the iac-security-scan-skills repository on GitHub. Skillspace rates iac-iam D (61/100) and it passed the safety scan; the rating is based on static analysis only.
Deep IAM and identity-layer security analysis for Infrastructure-as-Code. Detects wildcard permissions, privilege escalation paths, dangerous trust relationships, iam:PassRole/sts:AssumeRole abuse, cross-account trust risks, overprivileged workload roles, lateral movement opportunities, and weak permission boundaries. Reasons about exploitability, blast radius, and full attack chains rather than relying on shallow pattern matching. Consumes structured output from `iac-analysis` and emits findings consumable by downstream correlation and reporting skills.
- Grade
- D
- Quality
- 61 / 100
- Safety
- Passed
- GitHub stars
- 47
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 83 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- Low-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.