Hypersomnia: Skill for Claude Code

.claude/skills/audit-gameplay/SKILL.md

audit-gameplay is a skill for Claude Code from TeamHypersomnia/Hypersomnia. It costs 140 tokens per session (1,984 once invoked), scanned A, original, AGPL-3.0.

A review skill for a Hypersomnia game's newly added gameplay, rendering, or user-interface code. It checks the work against a project-specific checklist.

In plain words
What is it for?
Use it to review gameplay features and systems for safety, deterministic simulation, lag-robust random behavior, performance, web compatibility, parameter handling, and duplicate or dead code.
Why use it?
It helps find crashes, nondeterministic behavior, performance problems, misplaced logic, and other issues before a feature is accepted. It also checks code hygiene and platform concerns.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is TeamHypersomnia/Hypersomnia's own configuration. It tells Claude Code how to work on Hypersomnia itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything Hypersomnia configures →

About the project

Hypersomnia is an open-source multiplayer top-down shooter built in C++ without a game engine. Players use it for online duels, team battles, and creating or testing maps with its in-game editor.

TeamHypersomnia/Hypersomnia · 1,704 stars · on GitHub · hypersomnia.io

Reuse

Borrowing it

Nothing to install: this file belongs to TeamHypersomnia/Hypersomnia. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/TeamHypersomnia/Hypersomnia/master/.claude/skills/audit-gameplay/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/TeamHypersomnia/Hypersomnia

Made for: Claude Code.

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 audit-gameplay

README.md
[![agentmods](https://agentmods.dev/badge/skills/teamhypersomnia/hypersomnia/audit-gameplay/github.svg)](https://agentmods.dev/skills/teamhypersomnia/hypersomnia/audit-gameplay)
Your own site
<a href="https://agentmods.dev/skills/teamhypersomnia/hypersomnia/audit-gameplay"><img src="https://agentmods.dev/badge/skills/teamhypersomnia/hypersomnia/audit-gameplay/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 audit-gameplay

Your own site · 80×15
<a href="https://agentmods.dev/skills/teamhypersomnia/hypersomnia/audit-gameplay"><img src="https://agentmods.dev/badge/skills/teamhypersomnia/hypersomnia/audit-gameplay.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 140 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,984 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 unknown 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 $0.00140 $0.01984
Opus 5.5 $0.00056 $0.00794
Sonnet 5.5 $0.00028 $0.00397
Haiku 4.5 $0.00014 $0.00198

Measured 2d ago against content hash 417d4c1228b3, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

audit-gameplay 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.

.claude/skills/audit-gameplay/SKILL.md · 100 lines

The source is not reproduced here

Licensed AGPL-3.0

The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

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 Changed · +9 lines 417d4c1228b3
  2. 7d ago Changed · +4 lines 7ab71b6ed192
  3. 9d ago Changed · +27 tokens per session ba56ac01a010
  4. 11d ago First seen · 87 lines · 113 tokens per session scan A 77e332d6690d

Subscribe to this mod's changes

audit-gameplay is a skill published in the GitHub repository TeamHypersomnia/Hypersomnia (1,704 stars, last pushed 2d ago), licensed AGPL-3.0. It adds 140 tokens to every session and 1,984 once invoked, about $0.0006 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 2026-10-18.