Anti-Cheat Systems Analyzer
Analyze anti-cheat architecture, detection methods, and enforcement strategies for gaming security.
Installation
- Make sure Claude is on your device and in your terminal.
Skills load from
~/.claude/skills/when Claude Code starts up — so you need it on your machine first. If you don't have it yet, install it once with the command below, then runclaudein any terminal to verify.One-time setupnpm i -g @anthropic-ai/claude-codeAlready have it? Skip ahead.
- Paste into Claude Code or into your terminal.
This copies the whole skill folder into
~/.claude/skills/anti-cheat-systems-gmh5225/— the SKILL.md plus any scripts, reference docs, or templates the skill ships with. Safe default: works for every skill.Faster alternative (instruction-only skills)
Skips the clone and grabs only the SKILL.md file. Don't use this if the skill ships Python scripts, reference markdowns, or asset templates — they won't be downloaded and the skill will fail when it tries to load them.
Quick install (SKILL.md only)Sign up to copy - Restart Claude Code.
Quit and reopen Claude Code (or any other agent that loads from
~/.claude/skills/). New skills are picked up on startup. - Just ask Claude.
Skills auto-activate when your request matches the skill's description — no slash command needed. Trigger phrases live in the skill's own frontmatter; you can read them in the “What this skill does” section above.
Prefer to read the source first? Open on GitHub.
When Claude uses it
Analyze layered anti-cheat architecture, detection evidence, telemetry, and enforcement tradeoffs. Use for system-level defense questions; use narrower skills for DMA, kernel, graphics, mobile, or server details.
What this skill does
Anti-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.
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