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 vchelaru/FlatRedBall2 --skill performancegit clone --depth 1 https://github.com/vchelaru/FlatRedBall2Wrote 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/vchelaru/flatredball2/performance)<a href="https://agentmods.dev/skills/vchelaru/flatredball2/performance"><img src="https://agentmods.dev/badge/skills/vchelaru/flatredball2/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/vchelaru/flatredball2/performance"><img src="https://agentmods.dev/badge/skills/vchelaru/flatredball2/performance.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00076 | $0.01826 |
| Opus 5.5 | $0.00030 | $0.00730 |
| Sonnet 5.5 | $0.00015 | $0.00365 |
| Haiku 4.5 | $0.00008 | $0.00183 |
Grade A, and why
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 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 — 68 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Performance Monitoring
FlatRedBallService.Default.Performance (a PerformanceMonitor, src/Diagnostics/PerformanceMonitor.cs) tracks rolling FPS, per-phase frame timing, and a per-collision-relationship severity breakdown over a 120-frame window.
Off by default — set IsEnabled = true before it records anything; until then every stat reads zero/empty.
FlatRedBallService.Default.Performance.IsEnabled = true;
// later, e.g. every N frames from Screen.CustomActivity:
var perf = FlatRedBallService.Default.Performance;
Console.WriteLine(perf.GenerateReport()); // FPS + phase timing + collision severity, as a string
var fps = perf.Fps; // .Current / .Average / .Min / .Max
var worst = perf.GetCollisionReport(); // most expensive first; each row carries a PartitionStatus
GenerateReport() only builds a string — it does no I/O itself, so printing/logging/writing it is on the caller.
Timer resolution (web)
GenerateReport() opens with a Platform: line and the measured clock step (TimerResolutionMs, probed once via ProfileClock.MeasureResolutionMs).
Landmine: browsers coarsen their clock as a Spectre mitigation — ~1ms on Firefox/Safari, ~0.1ms on Chrome — and Stopwatch.Frequency does not reflect it. Whole-pass totals stay accurate (start/end errors cancel), but any per-phase number smaller than one step reads as 0 or one full step and nothing between. The report warns automatically above 0.5ms. Read FrameTotal first, then the phases.
Set PlatformLabel from the host — the engine targets net10.0 and cannot read navigator.userAgent itself.
Every row in the collision report carries a PartitionStatus. Unpartitioned is the only value worth acting on, and the fix is to set the same Factory<T>.PartitionAxis on both sides of the relationship. NotApplicable means one side is not a factory, such as a TileShapes, a single entity, or a plain List<T>, so no axis setting would change it. See the collision-relationships skill.
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 Changed ab7e273064ab
- 11d ago Changed 6927af4f7c86
- 17d ago Changed · +7 lines 5c269546482c
- 23d ago Changed · +1 lines 2e884ce1323a
- 28d ago Changed · +76 tokens per session 721c83497640
- 29d ago Changed · +25 lines e461f01d274c
- 2mo ago First seen · 35 lines · 0 tokens per session scan A 8635e2d9d5c2
performance is a skill published in the GitHub repository vchelaru/FlatRedBall2 (15 stars, last pushed yesterday), licensed MIT. It adds 76 tokens to every session and 1,826 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-09-04.
performance compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| performancevchelaru/FlatRedBall2 | Skill | 15 | yesterday | MIT | A | 76 | Claude Code, Codex |
| playtest-reportDonchitos/Claude-Code-Game-Studios | Skill | 36k | 19d ago | MIT | A | 20 | Claude Code |
| godot-signals-groupsgamedev-skills/awesome-gamedev-agent-skills | Skill | 6.9k | 9d ago | Apache-2.0 | A | 95 | Claude Code |
| scenario-unreal-gameplayscenario-labs/skills | Skill | 3.2k | yesterday | MIT | A | 121 | Claude Code |
| motionOpenDCAI/GameFactory-3A | Skill | 1.0k | 8d ago | Apache-2.0 | A | 0 | Claude Code, Codex |
| unity-addressablesBesty0728/Unity-Skills | Skill | 1.9k | yesterday | MIT | A | 25 | Claude Code, Codex |
| unity-manual-componentBesty0728/Unity-Skills | Skill | 1.9k | yesterday | MIT | A | 36 | Claude Code, Codex |