ags-alpha-golang

ags-alpha-golang is a skill for Claude Code, Codex from 1llu50ry/mcp-gamehacking. It costs 45 tokens per session (208 once invoked), scanned A, original, MIT.

An IDAPython toolkit for examining Go programs in IDA Pro, a tool for reading and analysing compiled programs. It helps identify Go binaries and recover functions, strings, and type information, including from stripped or optimised files.

In plain words
What is it for?
Use it for malware and threat analysis of Go programs, including function discovery, pclntab recovery, string handling, type extraction, and YARA-based file identification.
Why use it?
Go executables can be difficult to understand when names and other clues have been removed by compilation. These scripts provide a repeatable analysis workflow instead of requiring each sample to be examined manually.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it for malware and threat analysis of Go programs, including function discovery, pclntab recovery, string handling, type extraction, and YARA-based file identification.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/1llu50ry/mcp-gamehacking/ags-alpha-golang
Install

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.

Any agent
npx skills add 1llu50ry/mcp-gamehacking --skill ags-alpha-golang
Clone the repo
git clone --depth 1 https://github.com/1llu50ry/mcp-gamehacking

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for ags-alpha-golang

README.md
[![agentmods](https://agentmods.dev/badge/skills/1llu50ry/mcp-gamehacking/ags-alpha-golang/github.svg)](https://agentmods.dev/skills/1llu50ry/mcp-gamehacking/ags-alpha-golang)
Your own site
<a href="https://agentmods.dev/skills/1llu50ry/mcp-gamehacking/ags-alpha-golang"><img src="https://agentmods.dev/badge/skills/1llu50ry/mcp-gamehacking/ags-alpha-golang/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.

agentmods 80×15 button for ags-alpha-golang

Your own site · 80×15
<a href="https://agentmods.dev/skills/1llu50ry/mcp-gamehacking/ags-alpha-golang"><img src="https://agentmods.dev/badge/skills/1llu50ry/mcp-gamehacking/ags-alpha-golang.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 45 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 208 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00045 $0.00208
Opus 5.5 $0.00018 $0.00083
Sonnet 5.5 $0.00009 $0.00042
Haiku 4.5 $0.00005 $0.00021

Measured 2d ago against content hash 2d76762f98d1, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ags-alpha-golang 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.

skills/ags-alpha-golang/SKILL.md · 17 lines

What it actually says

AlphaGolang

Author: SentineLabs Source: mcp-gamehacking/skills/ags-alpha-golang

Description

This project is a toolkit of scripts that helps reverse engineers analyze Go binaries in IDA Pro. It is mainly written in IDAPython and is organized as a step-by-step workflow covering binary identification, pclntab recovery, function discovery, string handling, and type extraction. It also includes a YARA rule for quickly spotting Go executables across PE, ELF, and Mach-O formats. The primary use case is malware and threat analysis where stripped or heavily optimized Go samples are difficult to read manually.

Files

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.

Changes

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.

  1. 2d ago First seen · 17 lines · 45 tokens per session scan A 2d76762f98d1

Subscribe to this mod's changes

ags-alpha-golang is a skill published in the GitHub repository 1llu50ry/mcp-gamehacking (344 stars, last pushed 2d ago), licensed MIT. It adds 45 tokens to every session and 208 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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