Borrowing it
Nothing to install: this file belongs to ukanwat/aaabench. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/ukanwat/aaabench/main/.claude/skills/save-systems/SKILL.mdgit clone --depth 1 https://github.com/ukanwat/aaabenchWrote 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/ukanwat/aaabench/save-systems)<a href="https://agentmods.dev/skills/ukanwat/aaabench/save-systems"><img src="https://agentmods.dev/badge/skills/ukanwat/aaabench/save-systems/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/ukanwat/aaabench/save-systems"><img src="https://agentmods.dev/badge/skills/ukanwat/aaabench/save-systems.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 | $0.00074 | $0.01848 |
| Opus 5.5 | $0.00030 | $0.00739 |
| Sonnet 5.5 | $0.00015 | $0.00370 |
| Haiku 4.5 | $0.00007 | $0.00185 |
Grade A, and why
save-systems 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 1mo 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
94% identical to save-systems — 60 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 — 168 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Save systems
A save file is a serialized snapshot of game state that survives restarts. The hard parts aren't writing bytes — they're choosing what to save, writing it so a crash mid-save can't corrupt it, and reading old saves after you ship a patch. Get those three right and the rest is plumbing.
When to use
- Use to persist progress: player stats, inventory, world flags, settings, positions — across sessions and game updates.
- Use to design save slots, quicksave/autosave, and crash-safe writes.
- Use when old save files break after a content/code change (versioning & migration).
When not to use: for Roblox cloud persistence specifics, use
roblox-datastores. For the data model the save serializes (resources/SOs), use
godot-resources / unity-scriptableobjects. For Godot's FileAccess/
ResourceSaver and user:// paths, defer to the Godot engine skill while
applying the patterns here.
Core workflow
- Decide what state is authoritative. Save the data (hp, position, seed, unlocked flags), not engine objects or scene nodes. You will reconstruct objects from data on load — never serialize live node references.
- Define a versioned schema. Every save embeds a
versioninteger. This is the single most important field for a game you intend to patch. - Pick a format. JSON/text for readability and debuggability; a binary format for size/speed or mild tamper-resistance. Start with JSON.
- Write atomically. Serialize to a temp file, flush, then rename over the real file. A crash leaves either the old save or the new one — never a half-written one.
- Load defensively. Read version → migrate up to current → validate → instantiate. Keep a backup of the last good save and fall back on parse error.
- Autosave on safe boundaries (level change, checkpoint), throttled, and to a separate slot so it can't clobber a manual save.
- Verify: save, fully quit, relaunch, load — and confirm by inspection that state matches. Test loading a save from the previous version.
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.
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.
- 1mo ago First seen · 168 lines · 74 tokens per session scan A 20dba7985d2f
save-systems is a skill published in the GitHub repository ukanwat/aaabench (385 stars, last pushed 2mo ago), licensed MIT. It adds 74 tokens to every session and 1,848 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 94% identical to save-systems, differing in 60 lines, and is treated as a copy.
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