About anti-cheat-systems
A guidance skill for analyzing anti-cheat systems, aimed at security researchers and developers. It organizes questions around protected assets, attacker capabilities, evidence, detection, and enforcement while distinguishing confirmed behavior from general patterns.
Key features
- 01Map assets and attacker capabilities
- 02Trace observation and detection points
- 03Route research by security topic
- 04Separate evidence from inference
Use cases
- 01Reviewing client, kernel, and backend defenses
- 02Assessing memory, process, or input signals
- 03Selecting repository-backed sources
Install
Copy the command and run it in a terminal.
npx skills add https:/After installing, type/anti-cheat-systemsin Claude Code to confirm it loaded.
Bundled files
References and scripts installed along with SKILL.md.
references/repository-resources.mddetector-operations.mdnetwork-environment-evidence.mdrepository-map.mdinput-provenance-and-measurement.mdresearch-and-threats.mdarchitecture-and-detection.mdDetails
From the project READMEAnti-cheat systems
Map the protected asset, attacker capability, observation point, detector, and enforcement authority. Separate confirmed product behavior from general defensive patterns.
Topic routing
- Architecture and detection for products, client/kernel/backend layers, memory, process, behavior, and input signals.
- Research and threats for analysis methods, bypass categories, platform interactions, protection, telemetry, and ethics.
- Repository map and repository resources for collection-backed source selection.
- Input provenance, detector operations, or network evidence for those specific evidence questions.
Use dma-attack-techniques, windows-kernel-security, graphics-api-hooking, mobile-security, or game-server-security when that boundary dominates. Apply game-security-research-rigor to consequential or disputed claims.