network-authority-and-exploit-review

network-authority-and-exploit-review is a skill for Codex from hoatv2211/GameStudio-CodexKIT. It costs 40 tokens per session (710 once invoked), scanned A, original, MIT.

A read-only review method for checking whether multiplayer game servers properly control sensitive actions. It examines the boundary between the game client and server, including validation, replay protection and rate limits.

In plain words
What is it for?
Use it to review MMORPG or multiplayer game actions such as trading, inventory changes, rewards, administration and combat. It is for static analysis, not live exploitation or penetration testing.
Why use it?
It helps find places where a dishonest client might change currency, items, combat results, movement or rewards. It also exposes missing ownership, logging or protection without sending attack traffic.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: mentions AGENTS.md.

Good fit Use it to review MMORPG or multiplayer game actions such as trading, inventory changes, rewards, administration and combat. It is for static analysis, not live exploitation or penetration testing.

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Install with agentmods
npx agentmods add skills/hoatv2211/gamestudio-codexkit/network-authority-and-exploit-review
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 hoatv2211/GameStudio-CodexKIT --skill network-authority-and-exploit-review
Clone the repo
git clone --depth 1 https://github.com/hoatv2211/GameStudio-CodexKIT

Made for: 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 network-authority-and-exploit-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/hoatv2211/gamestudio-codexkit/network-authority-and-exploit-review/github.svg)](https://agentmods.dev/skills/hoatv2211/gamestudio-codexkit/network-authority-and-exploit-review)
Your own site
<a href="https://agentmods.dev/skills/hoatv2211/gamestudio-codexkit/network-authority-and-exploit-review"><img src="https://agentmods.dev/badge/skills/hoatv2211/gamestudio-codexkit/network-authority-and-exploit-review/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 network-authority-and-exploit-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/hoatv2211/gamestudio-codexkit/network-authority-and-exploit-review"><img src="https://agentmods.dev/badge/skills/hoatv2211/gamestudio-codexkit/network-authority-and-exploit-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 40 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 710 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 $0.00040 $0.00710
Opus 5 $0.00020 $0.00355
Sonnet 5 $0.00008 $0.00142
Haiku 4.5 $0.00004 $0.00071

Measured 9d ago against content hash e3d89c06c2cd, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

network-authority-and-exploit-review 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 9d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/authority_review.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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/network-authority-and-exploit-review/SKILL.md · 79 lines

How it starts

The opening of the file, as written. The whole thing — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Network Authority and Exploit Review

Overview

Review who may request, validate, authorize, rate-limit, persist, and broadcast sensitive game actions without performing offensive testing.

When to use

Use for client-authoritative currency, inventory, combat, movement, reward, trade, admin, replay, duplication, or rate-limit concerns.

When NOT to use

Do not use to send exploit payloads, bypass authentication, scan external systems, or replace an authorized penetration test.

Required inputs and context discovery

Collect action list, trust boundaries, initiators, authoritative side, server validation, idempotency, replay protection, rate limits, persistence, audit logs, and supported threat assumptions.

Safety and risk level

Read-only static review. No live traffic, credential use, service control, player-data access, or exploit proof is authorized.

Workflow

  1. Map clients, gateways, servers, databases, and administrative trust boundaries. Completion criterion: every sensitive transition has an owner.
  2. Inventory sensitive actions and their authoritative side. Completion criterion: client-authoritative sensitive state is visible.
  3. Review validation, idempotency, replay, sequencing, and rate-limit guards. Completion criterion: missing guards become discrete findings.
  4. Trace persistence and broadcast behavior for abuse amplification. Completion criterion: exploit impact is bounded without attack execution.
  5. Rank source fixes and safe regression simulations. Completion criterion: live exploit attempts remain BLOCKED.

Evidence and output contract

Produce network-authority-review.json with trust boundaries, action contracts, findings, severity rationale, limitations, and defensive tests.

Handoff contract

Record reviewed actions, authority decisions, missing guards, sensitive paths, untested live assumptions, and next defensive owner.

Pitfalls and anti-rationalization

  • Encryption does not replace server authority.
  • A client UI restriction is not server validation.
  • Do not prove impact on a live environment.
  • Static review does not certify exploit absence.

Read the full file on GitHub · 79 lines

Files

What ships with it

2 files 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. 9d ago First seen · 79 lines · 40 tokens per session scan A e3d89c06c2cd

Subscribe to this mod's changes

network-authority-and-exploit-review is a skill published in the GitHub repository hoatv2211/GameStudio-CodexKIT (3 stars, last pushed 2d ago), licensed MIT. It adds 40 tokens to every session and 710 once invoked, about $0.0002 per session on Opus 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 2026-08-31.

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