detecting-attacks-on-scada-systems

detecting-attacks-on-scada-systems is a Blue team & detection skill for AI agents, published by killvxk in the cybersecurity-skills-zh repository on GitHub. Skillspace rates detecting-attacks-on-scada-systems C (76/100) and it passed the safety scan; the rating is based on static analysis only.

本技能涵盖检测针对数据采集与监控(SCADA)系统的网络攻击,包括工业协议的中间人攻击、向PLC注入未授权命令、HMI入侵、历史数据操纵以及对控制系统通信的拒绝服务攻击。它利用OT专用入侵检测系统、工业协议异常检测和过程数据分析来识别传统IT安全工具无法发现的攻击。

Grade
C
Quality
76 / 100
Safety
Passed
GitHub stars
32

Unproven: rated by static analysis only, not yet compared head-to-head.

Not launch-quality. It is graded C with a clean safety verdict, but our quality filters exclude it: it is a near-duplicate variant of another skill. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

Our review

Architecture
75 / 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

  • 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

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