SkillCheatSheet
monitoring-scada-modbus-traffic-anomalies
An AI agent skill from mukul975/Anthropic-Cybersecurity-Skills, scored 71 out of 100 by code.
Code score by group
It loses the most points in Done criteria (11), the group that checks whether there is a checklist and a step that verifies the work.
What the author says it does
Monitors Modbus TCP traffic on SCADA and ICS networks to detect anomalous function code usage, unauthorized register writes, and suspicious communication patterns. The analyst uses deep packet inspection with pymodbus, Scapy, and Zeek to baseline normal PLC/RTU communication behavior, then applies statistical and rule-based anomaly detection to identify reconnaissance, parameter manipulation, and denial-of-service attacks targeting Modbus devices on port 502. Activates for requests involving Modbus traffic analysis, SCADA network monitoring, ICS anomaly detection, PLC security monitoring, or…
This is the description in the skill's own SKILL.md, written by its author, not by SkillCheatSheet.
- Repository
- mukul975/Anthropic-Cybersecurity-Skills
- Folder
- skills/monitoring-scada-modbus-traffic-anomalies
- License
- Apache-2.0
- GitHub stars
- 35,958
- SKILL.md lines
- 349
- Other files
- 3
Add monitoring-scada-modbus-traffic-anomalies to your agent
npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill monitoring-scada-modbus-traffic-anomaliesThe command uses the open skills CLI. A skill is instructions and scripts your agent will follow, so read it first: open the folder on GitHub at the commit that was scored.
Labelled for
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All skills in mukul975/Anthropic-Cybersecurity-Skills
Scores come from a snapshot of 300 public GitHub repositories taken on 12 November 2026. Every score is the result of fixed checks run by code; no AI is involved. How scoring works.