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 DDS-Solutions/AI-TadPole-OS --skill multiplayergit clone --depth 1 https://github.com/DDS-Solutions/AI-TadPole-OSWrote 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/dds-solutions/ai-tadpole-os/multiplayer)<a href="https://agentmods.dev/skills/dds-solutions/ai-tadpole-os/multiplayer"><img src="https://agentmods.dev/badge/skills/dds-solutions/ai-tadpole-os/multiplayer/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/dds-solutions/ai-tadpole-os/multiplayer"><img src="https://agentmods.dev/badge/skills/dds-solutions/ai-tadpole-os/multiplayer.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 | $0.00000 | $0.00733 |
| Opus 5.5 | $0.00000 | $0.00293 |
| Sonnet 5.5 | $0.00000 | $0.00147 |
| Haiku 4.5 | $0.00000 | $0.00073 |
Grade A, and why
multiplayer 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 3d 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.
This is a copy
86% identical to multiplayer — 8 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 139 lines — stays where its author put it; the contents beside it link to each section on GitHub.
[!IMPORTANT] AI Context & Knowledge Heritage
- Subsystem: Documentation / SKILL
- Architecture:
@docs ARCHITECTURE:Documentation- Failure Path: Information drift, legacy terminology, or documentation mismatch.
- Observability: Traceability via
execution/parity_guard.py
name: multiplayer description: Multiplayer game development principles. Architecture, networking, synchronization. allowed-tools: Read, Write, Edit, Glob, Grep, Bash
Multiplayer Game Development
Networking architecture and synchronization principles.
1. Architecture Selection
Decision Tree
What type of multiplayer?
│
├── Competitive / Real-time
│ └── Dedicated Server (authoritative)
│
├── Cooperative / Casual
│ └── Host-based (one player is server)
│
├── Turn-based
│ └── Client-server (simple)
│
└── Massive (MMO)
└── Distributed servers
Comparison
| Architecture | Latency | Cost | Security |
|---|---|---|---|
| Dedicated | Low | High | Strong |
| P2P | Variable | Low | Weak |
| Host-based | Medium | Low | Medium |
2. Synchronization Principles
State vs Input
| Approach | Sync What | Best For |
|---|---|---|
| State Sync | Game state | Simple, few objects |
| Input Sync | Player inputs | Action games |
| Hybrid | Both | Most games |
Lag Compensation
| Technique | Purpose |
|---|---|
| Prediction | Client predicts server |
| Interpolation | Smooth remote players |
| Reconciliation | Fix mispredictions |
| Lag compensation | Rewind for hit detection |
3. Network Optimization
Bandwidth Reduction
| Technique | Savings |
|---|---|
| Delta compression | Send only changes |
| Quantization | Reduce precision |
| Priority | Important data first |
| Area of interest | Only nearby entities |
Update Rates
| Type | Rate |
|---|---|
| Position | 20-60 Hz |
| Health | On change |
| Inventory | On change |
| Chat | On send |
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.
- 3d ago Changed · -1 lines · -15 tokens per session 5436b80341cd
- 1mo ago First seen · 140 lines · 15 tokens per session scan A 181b424679be
multiplayer is a skill published in the GitHub repository DDS-Solutions/AI-TadPole-OS (8 stars, last pushed today), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 733 tokens. A static security scan graded it A with 0 findings. It is 86% identical to multiplayer, differing in 8 lines, and is treated as a copy.
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