implementing-device-posture-assessment-in-zero-trust
implementing-device-posture-assessment-in-zero-trust is a Hardening & security compliance skill for AI agents, published by killvxk in the cybersecurity-skills-zh repository on GitHub. Skillspace rates implementing-device-posture-assessment-in-zero-trust B (81/100) and it passed the safety scan; the rating is based on static analysis only.
在零信任访问控制中实施设备态势评估，将来自 CrowdStrike ZTA、Microsoft Intune 和 Jamf 的端点健康信号集成到条件访问策略中，在授予资源访问权限前强制执行合规性。
- Grade
- B
- Quality
- 81 / 100
- Safety
- Passed
- 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, so go by its current files.
Our review
- Architecture
- 84 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- Low-risk patterns
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 1 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.