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-adaptive-boss-arenagit 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-adaptive-boss-arena)<a href="https://agentmods.dev/skills/1llu50ry/mcp-gamehacking/ags-adaptive-boss-arena"><img src="https://agentmods.dev/badge/skills/1llu50ry/mcp-gamehacking/ags-adaptive-boss-arena/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-adaptive-boss-arena"><img src="https://agentmods.dev/badge/skills/1llu50ry/mcp-gamehacking/ags-adaptive-boss-arena.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 | $0.00050 | $0.00274 |
| Opus 5.5 | $0.00020 | $0.00110 |
| Sonnet 5.5 | $0.00010 | $0.00055 |
| Haiku 4.5 | $0.00005 | $0.00027 |
Grade A, and why
ags-adaptive-boss-arena 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
adaptive boss arena
Author: Shadow-46 Source: mcp-gamehacking/skills/ags-adaptive-boss-arena
Description
Adaptive Boss Arena is a Unity C# arena combat game built around a boss that learns player habits and adapts its counters over the course of a fight. Its learning stack is pure C# and includes behavior tracking, pattern recognition, combat memory, and counter-strategy selection, backed by extensive edit-mode and play-mode tests. A core anti-cheat design keeps the boss fair: compile-time assembly firewalls block AI and learning code from reading player input, while a delayed perception layer exposes only human-observable state on human reaction timescales. The project also implements full melee combat systems with weapons, parries, posture, and phase-based boss attacks. It serves as a reference for game developers and security researchers studying adaptive AI, perception boundaries, and cheat-resistant boss design.
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 · 50 tokens per session scan A e922837dc048
ags-adaptive-boss-arena is a skill published in the GitHub repository 1llu50ry/mcp-gamehacking (344 stars, last pushed 2d ago), licensed MIT. It adds 50 tokens to every session and 274 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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