Guide for reverse engineering protected games and anti-cheat components across user mode, kernel mode, and hypervisor-aware environments. Use this skill when analyzing drivers, IOCTL protocols, callback registration, injected-code artifacts, integrity checks, protected binaries, or debugging security-sensitive game components.
65
80%
Does it follow best practices?
Run evals on this skill
Adds up to 20 points to the overall score
View guide
Critical
Do not install without reviewing
Fix and improve this skill with Tessl
tessl review fix ./.claude/skills/reverse-engineering/SKILL.mdSecurity
2 findings: 1 critical severity, 1 medium severity. Installing this skill is not recommended: please review these findings carefully if you do intend to do so.
Detected high-risk code patterns in the skill content — including its prompts, tool definitions, and resources — such as data exfiltration, backdoors, remote code execution, credential theft, system compromise, supply chain attacks, and obfuscation techniques.
The document contains explicit, actionable techniques for stealthy anti-analysis, kernel-space dumping, driver/PatchGuard circumvention, hypervisor-based interception, and API/exception hooking—patterns that enable creation of covert backdoors, rootkits, or cheating software and thus present high malicious intent/abuse risk.
The skill prompts the agent to compromise the security or integrity of the user’s machine by modifying system-level services or configurations, such as obtaining elevated privileges, altering startup scripts, or changing system-wide settings.
The skill explicitly documents kernel-space tooling and anti-analysis/ PatchGuard circumvention techniques (kernel debugger hiding, kernel dumps, driver/IOCTL tracing, hypervisor tricks) which encourage bypassing OS-level protections and performing privileged modifications on the host system.
Low
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
The skill fetches instructions or code from an external URL at runtime, and the fetched content directly controls the agent’s prompts or executes code. This dynamic dependency allows the external source to modify the agent’s behavior without any changes to the skill itself.
The skill explicitly instructs the agent at runtime to fetch and incorporate remote raw GitHub content (e.g., https://raw.githubusercontent.com/gmh5225/awesome-game-security/refs/heads/main/README.md and the archive/description raw URLs) into responses, so these external URLs directly control prompts and are required dependencies.
a73f4a5
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.