implementing-purdue-model-network-segmentation
implementing-purdue-model-network-segmentation is a Hardening & security compliance skill for AI agents, published by killvxk in the cybersecurity-skills-zh repository on GitHub. Skillspace rates implementing-purdue-model-network-segmentation B (85/100) and it passed the safety scan; the rating is based on static analysis only.
基于Purdue企业参考架构（PERA）模型实施网络隔离，将工业控制系统网络划分为从0级物理过程到5级企业的层次化安全区域，在OT和IT域之间强制执行严格的流量控制。
- Grade
- B
- Quality
- 85 / 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
- No issues found
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 1 collections
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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