iam-review
iam-review is a Hardening & security compliance skill for AI agents, published by UnitOneAI in the SecuritySkills repository on GitHub. Skillspace rates iam-review F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.
Risky. This skill has patterns associated with unsafe behaviour. Read the source carefully before running it.
Reviews identity and access management configurations against NIST SP 800-63B, NIST SP 800-207 zero trust principles, and CIS Controls v8. Auto-invoked when reviewing IAM policies, role definitions, user provisioning workflows, or when asked to assess identity security posture. Produces findings on least privilege violations, MFA gaps, stale accounts, and service account hygiene with prioritized remediation.
- Grade
- F
- Quality
- 45 / 100
- Safety
- Risky
- GitHub stars
- 32
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.
Our review
- Architecture
- 79 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- High-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- prompt-injection: ignore-previous
- exfiltration language
- 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.