access-review
access-review is a Hardening & security compliance skill for AI agents, published by UnitOneAI in the SecuritySkills repository on GitHub. Skillspace rates access-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.
Conducts access review and entitlement audit against CIS Controls v8 (Controls 5, 6) and NIST SP 800-53 AC family. Auto-invoked when reviewing entitlement certifications, orphaned accounts, role explosion, segregation of duties violations, or quarterly access recertification campaigns. Produces findings with severity, framework mapping, and remediation roadmap.
- 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
- 76 / 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
Not checked yet
- Category is a classifier prediction; no model has read this skill 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.