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 ouzlifaneyassine1-dot/onyx-engine --skill tune-performancegit clone --depth 1 https://github.com/ouzlifaneyassine1-dot/onyx-engineWrote 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/ouzlifaneyassine1-dot/onyx-engine/tune-performance)<a href="https://agentmods.dev/skills/ouzlifaneyassine1-dot/onyx-engine/tune-performance"><img src="https://agentmods.dev/badge/skills/ouzlifaneyassine1-dot/onyx-engine/tune-performance/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/ouzlifaneyassine1-dot/onyx-engine/tune-performance"><img src="https://agentmods.dev/badge/skills/ouzlifaneyassine1-dot/onyx-engine/tune-performance.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 | $0.00095 | $0.02722 |
| Opus 5 | $0.00048 | $0.01361 |
| Sonnet 5 | $0.00019 | $0.00544 |
| Haiku 4.5 | $0.00010 | $0.00272 |
Grade A, and why
tune-performance 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 10d 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 — 220 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/tune-performance — Profile, Diagnose, Fix
Overview
Performance tuning without measurement is gambling. This skill enforces a measure-first loop: read diagnostics, identify the dominant cost (rendering / physics / scripting / startup), drill into the specific pattern, propose one fix, verify the metric moved. No shotgun optimization.
Core principle: the engine's diagnostics tell you which subsystem is bleeding. Don't optimize a different subsystem.
Steps
1. Get the user's symptom precisely
What's slow? Pick the closest: framerate drops in scene X / startup is long / freezes for a moment / runs fine on my machine but bad on hardware Y.
Wait. The answer narrows the fix domain by 5x:
| Symptom | Likely subsystem |
|---|---|
| Framerate drops as more enemies spawn | Scripting (_process per-instance) or physics |
| Framerate is fine standing still, drops looking at level X | Rendering (overdraw, draw calls, lights) |
| Stutter every N seconds | GC pause, autoload loop, or async load |
| Long startup | Asset import, autoload _ready work, shader compilation |
| Runs fine on dev machine, bad on user machine | Resolution, GPU features (compute, GI), shadow quality |
2. Take a baseline measurement
Don't guess. Read the engine's actual numbers.
Preferred (onyx MCP):
onyx_clear_console
onyx_play
# user reproduces the slowdown for 5–10 seconds
onyx_get_diagnostics
onyx_get_console # check for warnings (e.g. "shader compilation hot-path")
onyx_stop
onyx_get_diagnostics returns the aggregate metrics. Note (write down before fixing anything):
- Average FPS during the slow section
- Frame time (ms) — anything over 16.67 ms = below 60 fps
- Draw calls per frame
- Active physics bodies
- Active GPUParticles instances
- Script time vs. physics time vs. render time
Fallback (no MCP): ask the user to enable Godot's built-in monitor (Debug → Monitor or in-game with Performance.get_monitor) and paste numbers. At minimum: FPS, frame time, draw calls, physics active objects.
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.
- 10d ago First seen · 220 lines · 95 tokens per session scan A 9c0b2d69f007
tune-performance is a skill published in the GitHub repository ouzlifaneyassine1-dot/onyx-engine (0 stars, last pushed 2mo ago), licensed MIT. It adds 95 tokens to every session and 2,722 once invoked, about $0.0005 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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