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.
59
69%
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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.
Document explicitly describes offensive capabilities (kernel/EFI persistence, DMA, driver abuse, HWID spoofing, anti-forensics, obfuscation) that enable backdoors, remote control, and system compromise.
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- and below-OS techniques (driver-based access, EFI/manual-map boot payloads, DMA, filter drivers, kernel input drivers, IOCTL/device hooks, and HWID-spoofing drivers) which require privileged actions and modification of system/firmware state, so it pushes the agent to compromise the host machine.
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 to fetch runtime content from raw.githubusercontent.com (e.g., https://raw.githubusercontent.com/gmh5225/awesome-game-security/refs/heads/main/README.md) and to use those fetched files to drive repository lookups and responses, so external content directly controls the agent's outputs.
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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.