Guide for game-hacking technique taxonomy and threat modeling relevant to game security. Use this skill when researching memory access, code injection, overlays, input simulation, engine-specific attack surfaces, or how modern anti-cheat systems constrain user-mode, kernel-mode, hypervisor, and DMA-based cheat implementations.
52
58%
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Critical
Do not install without reviewing
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tessl review fix ./.claude/skills/game-hacking/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.
This document provides step-by-step offensive techniques for creating cheats that include kernel/EFI-level payload injection and persistence, DMA/hypervisor physical memory access, kernel networking channels, and obfuscation — behaviors consistent with deliberate system compromise, covert remote control, and potential data theft.
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 details kernel-mode drivers, EFI/UEFI boot-time payloads, driver/registry/SMBIOS manipulation, DMA and other privileged operations that alter system firmware or OS state and require elevated/bypass 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.
SKILL.md indicates at runtime it will fetch outsider-authored public web content (e.g., `https://raw.githubusercontent.com/.../README.md` and archive/description files) and use those fetched README/archive texts as LLM context (“When users ask… retrieve and reference the appropriate sections from this source”), creating an indirect prompt-injection exposure path.
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 to fetch and reference external raw GitHub content at runtime (e.g., https://raw.githubusercontent.com/gmh5225/awesome-game-security/refs/heads/main/README.md), meaning remote content will be retrieved during runtime and directly used to shape the agent's responses.
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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.