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 1llu50ry/mcp-gamehacking --skill ags-all-about-eacgit clone --depth 1 https://github.com/1llu50ry/mcp-gamehackingWrote 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/1llu50ry/mcp-gamehacking/ags-all-about-eac)<a href="https://agentmods.dev/skills/1llu50ry/mcp-gamehacking/ags-all-about-eac"><img src="https://agentmods.dev/badge/skills/1llu50ry/mcp-gamehacking/ags-all-about-eac/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/1llu50ry/mcp-gamehacking/ags-all-about-eac"><img src="https://agentmods.dev/badge/skills/1llu50ry/mcp-gamehacking/ags-all-about-eac.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00041 | $0.00260 |
| Opus 5.5 | $0.00016 | $0.00104 |
| Sonnet 5.5 | $0.00008 | $0.00052 |
| Haiku 4.5 | $0.00004 | $0.00026 |
Grade A, and why
ags-all-about-eac 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 2d 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.
What it actually says
all about eac
Author: BishopTopG Source: mcp-gamehacking/skills/ags-all-about-eac
Description
This project is a memflow-only reverse engineering dossier that documents one exact Easy Anti-Cheat Fortnite kernel driver build captured from outside a Windows VM. Using passive physical-memory acquisitions and matched Windows kernel PDB layouts, it maps EAC's registered kernel surfaces including process, thread, and image callbacks, Object Manager handle policy, registry callbacks, a Filter Manager minifilter, device IPC, and private per-thread callback contexts. The repository packages narrative deep dives, technical appendices, and evidence-labeled claims with Python validation tooling and reproducible derivation rules that exclude bypass or exploit material. It is aimed at game security researchers, anti-cheat engineers, and Windows kernel reverse engineers studying how Easy Anti-Cheat monitors lifecycle, persistence, executable mapping, and platform state.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 2d ago First seen · 17 lines · 41 tokens per session scan A 3f71b95c26e8
ags-all-about-eac is a skill published in the GitHub repository 1llu50ry/mcp-gamehacking (344 stars, last pushed 2d ago), licensed MIT. It adds 41 tokens to every session and 260 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-10-23.
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