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 agentmods add skills/wesleysalzer/gamecodex/learnnpx skills add WesleySalzer/GameCodex --skill learngit clone --depth 1 https://github.com/WesleySalzer/GameCodexWhat 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 | $0.00014 | $0.00069 |
| Opus 5 | $0.00007 | $0.00034 |
| Sonnet 5 | $0.00003 | $0.00014 |
| Haiku 4.5 | $0.00001 | $0.00007 |
Grade A, and why
learn scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
1 near-identical copy found in the catalogue:
- learn — 100% identical, 0 lines differ
What it actually says
Use the gamecodex teach MCP tool to create an interactive learning session about "$ARGUMENTS".
Start with beginner difficulty. After each step, ask if the user wants to continue deeper or move on. Keep explanations concise with code examples.
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 · 8 lines · 14 tokens per session scan A 56052f6cf343
learn is a skill published in the GitHub repository WesleySalzer/GameCodex (4 stars, last pushed 2mo ago), licensed MIT. It adds 14 tokens to every session and 69 once invoked, about $0.0001 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.
Other skills, from other repositories
godot-mentor
Use when the user wants to learn Godot while building — teaching mode that explains the concept, the editor setup, and what to verify, instead of just delivering code. Triggers on "teach me", "explain as we go", "I'm learning Godot", "guide me", "walk me through", "help me understand".
unreal-asset-operation
Query and manage UE assets via UCP. Use when the user asks about asset search, dependencies, referencers, asset CRUD, asset management, getting selected/current assets, opening/closing asset editors, or any editor asset operation in Unreal Engine.
unreal-material-editing
Edit UE material node graphs and properties via text (ReadGraph/WriteGraph). Use when the user asks to add, remove, or rewire material expression nodes, or change material properties like ShadingModel or BlendMode.
unreal-actor-editing
Manage actors in UE levels via UCP. Use when the user asks to spawn, delete, move, duplicate, select, or otherwise manipulate actors in the Unreal Engine editor.
unreal-large-blueprint-analysis
Systematically analyze and translate large UE Blueprints (10+ functions) into C++ or other targets. Use when the user asks to convert a Blueprint to C++, audit a complex Blueprint, or understand a large Blueprint's full logic.
unreal-modeling-meshops
Skill "unreal-modeling-meshops" from Italink/UnrealClientProtocol, covering 建模 — 网格操作, 库, 修复函数, 修复结构体 and 简化函数.