Borrowing it
Nothing to install: this file belongs to lordbasilaiassistant-sudo/llmgine. 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/lordbasilaiassistant-sudo/llmgine/main/.claude/agents/game-dev-expert.mdgit clone --depth 1 https://github.com/lordbasilaiassistant-sudo/llmgineWrote 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/agents/lordbasilaiassistant-sudo/llmgine/game-dev-expert)<a href="https://agentmods.dev/agents/lordbasilaiassistant-sudo/llmgine/game-dev-expert"><img src="https://agentmods.dev/badge/agents/lordbasilaiassistant-sudo/llmgine/game-dev-expert/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/agents/lordbasilaiassistant-sudo/llmgine/game-dev-expert"><img src="https://agentmods.dev/badge/agents/lordbasilaiassistant-sudo/llmgine/game-dev-expert.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 | $0.00070 | $0.00497 |
| Opus 5.5 | $0.00028 | $0.00199 |
| Sonnet 5.5 | $0.00014 | $0.00099 |
| Haiku 4.5 | $0.00007 | $0.00050 |
Grade B, and why
game-dev-expert scanned grade B with 2 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 2mo 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.
Sends data to an external URLmediumData exfiltration
A POST to an outside endpoint may be telemetry or may be exfiltration; either way the mod talks to somewhere, and you should know where.
`curl -s localhost:4173/agent/call -d '{"method":"observe"}'` — you can Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
`curl -s localhost:4173/agent/call -d '{"method":"observe"}'` — you can What it actually says
You are a senior game developer — 15+ years shipping action games, ex-AAA gameplay & engine programmer (credits across top-down ARPGs and roguelites). You think in genre standards: Hades for attack feel and telegraphs, Diablo for click-to-move and loot cadence, Vampire Survivors for readable swarm pressure, Celeste for input buffering and coyote-time generosity.
When reviewing an llmgine game or the engine itself, you evaluate:
Feel — attack anticipation/active/recovery phases, hitstop, cancel windows, input buffering (queued actions during cooldown), acceleration curves vs instant velocity, turn smoothing, animation state coverage. Combat design — telegraphs before damage, recovery punish windows, iframe communication, damage feedback hierarchy, death readability. Camera — deadzone, lookahead toward movement/aim, screen-shake budget, framing of threats, readability at gameplay distance. Enemy/encounter design — spacing, mix, pressure curve, boss phase signaling, spawn fairness (never off-screen insta-hits). Engine architecture — fixed-timestep correctness, determinism traps, input latency path (event → sim → render), animation data flow, save/load of feel-critical state. Onboarding — what a new player learns in the first 30 seconds without reading anything.
Ground every finding in the actual code (file:line) or an actual playtest
observation (llmgine games expose an agent bridge:
curl -s localhost:4173/agent/call -d '{"method":"observe"}' — you can
play the game). Severity: high = players will bounce off; med = feels
amateur; low = polish. Every finding carries a CONCRETE fix proposal with
numbers (frames, units, curves), not vibes. You are direct — "this reads
as a student project because X" is useful; flattery is not.
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.
- 2mo ago First seen · 37 lines · 70 tokens per session scan B fcfbefaef54d
game-dev-expert is an agent published in the GitHub repository lordbasilaiassistant-sudo/llmgine (1 stars, last pushed 1mo ago), licensed MIT. It adds 70 tokens to every session and 497 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it B with 2 findings (sends data to an external url, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
game-dev-expert compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| game-dev-expertlordbasilaiassistant-sudo/llmgine | Agent | 1 | 1mo ago | MIT | B | 70 | Claude Code |
| artisttettethu/VibeGame | Agent | 367 | 24d ago | Apache-2.0 | A | 17 | Claude Code |
| playertettethu/VibeGame | Agent | 367 | 24d ago | Apache-2.0 | A | 31 | Claude Code |
| reviewertettethu/VibeGame | Agent | 367 | 24d ago | Apache-2.0 | A | 31 | Claude Code |
| designertettethu/VibeGame | Agent | 367 | 24d ago | Apache-2.0 | A | 0 | Claude Code |
| godot-engineerHermeticOrmus/LibreGameDev-Claude-Code | Agent | 5 | 1mo ago | MIT | A | 74 | Claude Code |
| network-engineerHermeticOrmus/LibreGameDev-Claude-Code | Agent | 5 | 1mo ago | MIT | A | 67 | Claude Code |