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-an-tfsgit 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-an-tfs)<a href="https://agentmods.dev/skills/1llu50ry/mcp-gamehacking/ags-an-tfs"><img src="https://agentmods.dev/badge/skills/1llu50ry/mcp-gamehacking/ags-an-tfs/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-an-tfs"><img src="https://agentmods.dev/badge/skills/1llu50ry/mcp-gamehacking/ags-an-tfs.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 | $0.00032 | $0.00222 |
| Opus 5.5 | $0.00013 | $0.00089 |
| Sonnet 5.5 | $0.00006 | $0.00044 |
| Haiku 4.5 | $0.00003 | $0.00022 |
Grade A, and why
ags-an-tfs 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
ANTfs
Author: ch3rn0byl Source: mcp-gamehacking/skills/ags-an-tfs
Description
This project is an anti-forensics tool that recovers deleted NTFS files and permanently wipes file records and their contents from the filesystem. The user-mode application recovers deleted files by parsing NTFS MFT entries and outputs them to a specified directory, while the kernel driver overwrites file records and file content data to make recovery impossible. The C++ codebase includes both a Visual Studio 2019 solution with WDK driver and a user-mode console application for NTFS filesystem manipulation. It is mainly useful for digital forensics researchers and security analysts studying NTFS anti-forensic techniques and secure file deletion at the filesystem driver level.
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 · 20 lines · 32 tokens per session scan A 64ab186df961
ags-an-tfs is a skill published in the GitHub repository 1llu50ry/mcp-gamehacking (344 stars, last pushed 2d ago), licensed MIT. It adds 32 tokens to every session and 222 once invoked, about $0.0001 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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