awesome-game-security is a curated collection focused on security research for games and game software, including cheating, anti-cheat systems, debugging, and anti-debugging. It is intended for security researchers and developers studying or building game-protection tools. The catalogue entries provide skills for AI coding agents related to the repository’s security workflows.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add gmh5225/awesome-game-security --skill dma-attackgit clone --depth 1 https://github.com/gmh5225/awesome-game-securityWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/gmh5225/awesome-game-security/dma-attack)<a href="https://agentmods.dev/skills/gmh5225/awesome-game-security/dma-attack"><img src="https://agentmods.dev/badge/skills/gmh5225/awesome-game-security/dma-attack/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/gmh5225/awesome-game-security/dma-attack"><img src="https://agentmods.dev/badge/skills/gmh5225/awesome-game-security/dma-attack.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Rogue Agent · line 1162 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00070 | $0.16671 |
| Opus 5 | $0.00035 | $0.08335 |
| Sonnet 5 | $0.00014 | $0.03334 |
| Haiku 4.5 | $0.00007 | $0.01667 |
Grade A, and why
dma-attack-techniques scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 1,782 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DMA Attack Techniques
Overview
This skill covers Direct Memory Access research from the awesome-game-security collection, focusing on FPGA-based PCIe attacks, pcileech usage, physical-memory access workflows, and the defensive limits of software anti-cheat once a hostile device can read memory below the OS.
README Coverage
Cheat > DMAAnti Cheat > Detection:DMAAnti Cheat > Detection: Hacked HypervisorAnti Cheat > Detection:Virtual EnvironmentsAnti Cheat > Detection:HWIDWindows Security Features
Threat Model
External DMA Cheat Architecture
A modern external DMA cheat consists of three components:
1. Cheat PC — runs the cheat application, signature databases,
aim assistance, ESP rendering, and a network/USB link to the gaming PC.
2. DMA Card — an FPGA-based PCIe endpoint installed in the gaming PC
(typically M.2 NVMe slot). Exposes a memory-read/write interface to
the cheat PC. Uses Bus Master capability to issue Memory Read TLPs
against the gaming PC's RAM.
3. Actuator (optional) — a USB HID emulator (microcontroller-based) that
injects keyboard/mouse input on the gaming PC according to commands
from the cheat PC, closing the loop.
The structural property that makes this threat distinctive:
no attacker code executes on the gaming PC. The DMA card performs
hardware-level transactions between the FPGA and the gaming PC's
memory controller, mediated by the chipset and (when configured) the IOMMU.
The gaming PC's OS, drivers, and anti-cheat see only a PCIe device
announcing itself through Configuration Space and performing what looks
like ordinary DMA.
Three Defense Layers
Layer Mechanism What It Catches
─────────────────────────────────────────────────────────────────────────────
PCIe-layer Inspect Config Space & Identity mismatch — spoofed
fingerprinting behavior at the bus level device that doesn't match
real silicon's full signature
IOMMU Use the IOMMU to bound Out-of-domain DMA — device
enforcement what physical memory the trying to read game memory
device can touch it wasn't allocated
External TPM-anchored measured boot, Boot-chain compromise — IOMMU
attestation cloud-verified or kernel itself subverted
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 1,782 lines · 70 tokens per session scan A 4c6f8ee00a51
dma-attack-techniques is a skill published in the GitHub repository gmh5225/awesome-game-security (3,491 stars, last pushed today), licensed MIT. It adds 70 tokens to every session and 16,671 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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embed-ai-tool
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