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 medy-gribkov/arcana --skill memory-managementgit clone --depth 1 https://github.com/medy-gribkov/arcanaWrote 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/medy-gribkov/arcana/memory-management)<a href="https://agentmods.dev/skills/medy-gribkov/arcana/memory-management"><img src="https://agentmods.dev/badge/skills/medy-gribkov/arcana/memory-management/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/medy-gribkov/arcana/memory-management"><img src="https://agentmods.dev/badge/skills/medy-gribkov/arcana/memory-management.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 | $0.00022 | $0.03569 |
| Opus 5 | $0.00011 | $0.01784 |
| Sonnet 5 | $0.00004 | $0.00714 |
| Haiku 4.5 | $0.00002 | $0.00357 |
Grade A, and why
memory-management 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.
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.
How it starts
The opening of the file, as written. The whole thing — 479 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Memory Management
Memory Architecture
┌─────────────────────────────────────────────────────────────┐
│ GAME MEMORY LAYOUT │
├─────────────────────────────────────────────────────────────┤
│ STACK (Fast, Auto-managed): │
│ ├─ Local variables │
│ ├─ Function parameters │
│ └─ Return addresses │
│ │
│ HEAP (Slower, Manual/GC-managed): │
│ ├─ Dynamic allocations (new/malloc) │
│ ├─ Game objects │
│ └─ Asset data │
│ │
│ STATIC (Fixed at compile time): │
│ ├─ Global variables │
│ ├─ Static class members │
│ └─ Constant data │
│ │
│ VRAM (GPU Memory): │
│ ├─ Textures │
│ ├─ Meshes │
│ └─ Render targets │
└─────────────────────────────────────────────────────────────┘
Platform Memory Budgets
MEMORY BUDGET GUIDELINES:
┌─────────────────────────────────────────────────────────────┐
│ PLATFORM │ TOTAL │ GAME LOGIC │ ASSETS │ BUFFER │
├────────────────┼──────────┼────────────┼──────────┼────────┤
│ Mobile Low │ 512 MB │ 50 MB │ 350 MB │ 112 MB │
│ Mobile High │ 2 GB │ 200 MB │ 1.5 GB │ 300 MB │
│ Console │ 8 GB │ 500 MB │ 6 GB │ 1.5 GB │
│ PC Min │ 4 GB │ 300 MB │ 3 GB │ 700 MB │
│ PC High │ 16 GB │ 1 GB │ 12 GB │ 3 GB │
│ VR │ 8 GB │ 400 MB │ 6 GB │ 1.6 GB │
└────────────────┴──────────┴────────────┴──────────┴────────┘
VRAM BUDGETS:
┌─────────────────────────────────────────────────────────────┐
│ Mobile: 512 MB - 1 GB │
│ Console: 8-12 GB (shared with RAM) │
│ PC Low: 2-4 GB │
│ PC High: 8-16 GB │
└─────────────────────────────────────────────────────────────┘
What ships with it
3 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.
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.
- 9d ago First seen · 479 lines · 22 tokens per session scan A ed150bfb4961
memory-management is a skill published in the GitHub repository medy-gribkov/arcana (1 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 22 tokens to every session and 3,569 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.
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