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 automation-modegit 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/automation-mode)<a href="https://agentmods.dev/skills/vchelaru/flatredball2/automation-mode"><img src="https://agentmods.dev/badge/skills/vchelaru/flatredball2/automation-mode/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/automation-mode"><img src="https://agentmods.dev/badge/skills/vchelaru/flatredball2/automation-mode.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 | $0.00073 | $0.02701 |
| Opus 5.5 | $0.00029 | $0.01080 |
| Sonnet 5.5 | $0.00015 | $0.00540 |
| Haiku 4.5 | $0.00007 | $0.00270 |
Grade A, and why
automation-mode 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 11d 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 — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Automation Mode in FlatRedBall2
Automation mode lets an external process control a running game via NDJSON (newline-delimited JSON) over stdin/stdout — one command per line in, one response per line out. The primary use case is AI agents that need to observe and interact with the game the way Playwright interacts with a browser.
Debug builds only — gated on your own project's configuration. EnableAutomationMode() is a [Conditional("DEBUG")] call: the C# compiler strips the call site entirely when your project builds Release, regardless of how the FlatRedBall2 package itself was built. It's safe to leave the call in unconditionally. This is intentional — automation mode exposes internal state and allows arbitrary value forcing.
Setup
// Game.Initialize, after base.Initialize():
FlatRedBallService.Default.EnableAutomationMode();
The call itself does nothing unless --frb-auto is present in the command-line args. Ship the call unconditionally; the flag controls activation.
dotnet run -- --frb-auto
That's the entire required wiring. Entities and their public properties are auto-discovered — no per-property registration.
Hiding the window (Windows)
dotnet run -- --frb-auto --frb-auto-hide parks the game window off-screen at the back of the z-order and hands focus back to the window beneath it, so an agent-driven run does not cover the user's work. Pass it whenever you launch the game on a person's machine. The window still renders, so screenshots work, and without the flag the window shows as usual. Focus handback is best-effort (src/Automation/AutomationWindowParker.cs); the flag does nothing without --frb-auto and is ignored on other platforms.
Deterministic randomness
When automation activates, FlatRedBallService.Random is replaced with a deterministic GameRandom so recorded NDJSON sessions reproduce exactly. Pass an explicit seed to choose which run.
FlatRedBallService.Default.EnableAutomationMode(seed: 1234);
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.
- 11d ago Changed · +2 lines ecedb47adb17
- 19d ago Changed · +4 lines 8b3971de98eb
- 29d ago Changed · -7 lines e4f80f84b593
- 2mo ago First seen · 134 lines · 73 tokens per session scan A 9ef949fcd30b
automation-mode is a skill published in the GitHub repository vchelaru/FlatRedBall2 (15 stars, last pushed yesterday), licensed MIT. It adds 73 tokens to every session and 2,701 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.
automation-mode compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| automation-modevchelaru/FlatRedBall2 | Skill | 15 | yesterday | MIT | A | 73 | 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 | 10d 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 |