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.
63
75%
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Critical
Do not install without reviewing
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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 high-risk, dual-use guidance that clearly instructs on kernel-space memory dumping, anti-debug/anti-analysis bypasses (including PatchGuard circumvention), hypervisor-based hiding, and stealthy integrity-evasion techniques that enable system compromise, covert payloads, or data exfiltration.
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 describes kernel-mode drivers and kernel-space dumping, hooking system exception dispatchers, PatchGuard circumvention, and anti-anti-debug/hiding tools—techniques that require elevated privileges and modify the host OS state, so it pushes compromising actions.
Low
Low-risk findings.
2 low severity findings. Worth noting, but not necessarily harmful.
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
The skill’s required workflow includes fetching “Repository Code Details (Archive)” and “Repository Descriptions” from runtime-constructed raw GitHub URLs, which are outsider-authored text; that fetched prose would be ingested into the LLM context when used for answering repository-specific queries.
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 instructs the agent at runtime to fetch and use external raw GitHub content to construct answers (e.g., https://raw.githubusercontent.com/gmh5225/awesome-game-security/refs/heads/main/README.md), so those URLs directly control prompts and are required runtime dependencies.
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