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SKILL verified MIT Self-run

Game Prototype

skill-melons-melons-agents-game-prototype · by MelonS

Unity-based mini colony-sim-style game prototype, built using game-dev-agent. Portfolio piece demonstrating AI agent + game dev T-shape skill.

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Install

$ agentstack add skill-melons-melons-agents-game-prototype

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

Verified badge

Passed review? Show it. Paste this badge into your README, it links to the public security report.

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Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
2mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

game-prototype

Unity mini colony-sim-style colony sim vertical slice, built in 7 days using [game-dev-agent](../game-dev-agent/) for asset generation, code scaffolding, balance tuning, and in-game AI Director.

Reference game

콜로니 심 장르. We're building a vertical slice — NOT a clone, NOT competing. Demonstration only.

Scope (locked at start of Day 1)

| Included | Excluded | |---|---| | 2-3 pawns | 10+ pawns | | 3 needs (food, sleep, mood) | 8+ needs | | 2 resources (wood, food) | full economy + production chains | | 3-4 actions (chop, eat, sleep, wander) | building, crafting, research | | 50×50 tilemap | open world / multiple biomes | | AI Director — 3-5 event types | seasons, weather sim, raids | | Utility AI (highest-need priority) | mood / relationship simulation | | Basic save/load (JSON) | autosave / multi-slot / cloud | | Top-down 2D | 3D / isometric |

End-of-day deliverable schedule

| Day | What .exe shows when launched | |---|---| | 1 | Title → Start → empty tilemap + 1 idle pawn, clickable | | 2 | Pawn moves on right-click, needs UI panel ticking down | | 3 | Trees on map, pawn can chop wood, wood counter rises | | 4 | 3 pawns, autonomous needs satisfaction (utility AI) | | 5 | AI Director generates random events (LLM-driven text) | | 6 | Save/load works, BGM + SFX added | | 7 | Polish + demo video + portfolio README |

Each day = builds/day-X-2026-MM-DD.exe snapshot saved.

Directory layout

skills/game-prototype/
├── SKILL.md (this file)
├── unity-project/          # Unity 2022.3.32f1 project root
│   ├── Assets/
│   │   ├── Scripts/        # C# (generated by code_assist module)
│   │   ├── Sprites/        # 2D art (generated by asset_gen module)
│   │   ├── Audio/          # BGM + SFX (generated by audio_gen module)
│   │   ├── Configs/        # ScriptableObject balance data
│   │   └── Scenes/
│   ├── Packages/
│   └── ProjectSettings/
├── builds/                 # End-of-day .exe snapshots (gitignored)
│   ├── day-1-2026-05-26.exe
│   └── ...
└── docs/
    ├── DESIGN.md           # Scope + system list
    ├── AGENT_LOG.md        # What the agent did each day
    └── DEMO.md             # Demo video script + portfolio narrative

Build-in-public narrative

Each day's commit log = the agent's contribution that day. Portfolio README at end of Day 7 = "AI agent built this game in 7 days, here's what each day looked like + which agent module did what".

Target audience: AI agent engineer hiring managers at game companies + general tech companies hiring for AI agent / LLM-application roles.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.