Skip to main content

anti-cheat-systems

Analyze anti-cheat architecture and detection tradeoffs across client, kernel, hypervisor, and backend layers. Use for system-level defense design; use narrower skills for PCIe DMA or Windows kernel details.

Source facts

Repository
NeverSight/NeverD
Last source activity
September 13, 2026 at 11:12
Detected SKILL.md language
English
Stars
95
Forks
17

Install options

The review-first prompt is selected by default. You can switch to a direct command or download a local copy.

Review the source files

Read SKILL.md and any companion files shown by SkillsMP before deciding whether to install.

File Explorer
5 files

Showing SKILL.md

SKILL.md
Source instructions · Read-only preview
name
anti-cheat-systems
description
Analyze anti-cheat architecture and detection tradeoffs across client, kernel, hypervisor, and backend layers. Use for system-level defense design; use narrower skills for PCIe DMA or Windows kernel details.
# Anti-cheat systems Use this skill for authorized defensive analysis of anti-cheat products and layered detection systems. Describe capabilities and limitations without assuming that a named product implements every technique in the reference material. ## Topic routing Read only the reference that matches the task: - [Systems and architecture](references/systems-and-architecture.md) for major products and user-mode, kernel, hypervisor, and server components. - [Detection and telemetry](references/detection-and-telemetry.md) for memory, process, behavior, input, replay, and backend signals. - [Threats and evasion](references/threats-and-evasion.md) for threat categories, DMA defense, platform security interactions, protection, heartbeat, and screenshots. - [Research and resources](references/research-and-resources.md) for analysis methods, ethical constraints, and the source collection. Use `game-hacking-techniques` to classify offensive implementations, `windows-kernel-security` for kernel details, and `dma-attack-techniques` for PCIe/IOMMU research. Separate confirmed product behavior from general defensive patterns and proposals.
View on GitHub