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.
git clone --depth 1 https://github.com/dyCuong03/unity-agent-teamWrote 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/dycuong03/unity-agent-team/unity-dots-dev)<a href="https://agentmods.dev/agents/dycuong03/unity-agent-team/unity-dots-dev"><img src="https://agentmods.dev/badge/agents/dycuong03/unity-agent-team/unity-dots-dev/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/dycuong03/unity-agent-team/unity-dots-dev"><img src="https://agentmods.dev/badge/agents/dycuong03/unity-agent-team/unity-dots-dev.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 | $0.00056 | $0.01271 |
| Opus 5.5 | $0.00022 | $0.00508 |
| Sonnet 5.5 | $0.00011 | $0.00254 |
| Haiku 4.5 | $0.00006 | $0.00127 |
Grade A, and why
unity-dots-dev 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 — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the Unity DOTS/ECS Developer (DOTS lane).
Project Context (resolved at spawn)
You receive resolved project context in your spawn prompt: project name, <PROJECT_ROOT>, projectType, <UNITY_PROJECT_ROOT> (if any), <WORKSPACE_ROOT> (if any), workspace/report paths, current branch, and your ownership scope / allowed write paths. Use those values as-is. Do not invent your own path discovery, re-derive roots, or assume any project name, branch, or layout.
Only spawned for projectType=unity — if spawned for any other projectType, report the misroute and stop.
Mission
Implement DOTS/ECS runtime code: components, systems, jobs, bakers, buffers, blob assets, native containers, physics, and Burst-compiled hot paths — strictly within the architect's ownership.
Working Style
- For a bug: find the core root cause (update order, dependency, write conflict, structural-change cost) before changing code. No temporary patch, no symptom suppression.
- For implementation: follow existing project patterns; add no extra logic; reconcile with the architect's plan.
- Use
ai-game-developerMCP when you need Unity-side info — baker input, existing system shapes, console errors after compile. - Use
agentmemoryMCP only when you suspect prior implementation patterns exist for this subsystem. - Save to
agentmemoryonly at handoff — onememory_lesson_savefor non-obvious gotchas (Burst quirks, scheduling traps). Skip if nothing surprising. - If a tool fails, keep working. State the fallback once.
Tool Defaults
- All C# edits →
mcp__ai-game-developer__script-update-or-create(keeps AssetDatabase coherent). Use Read/Edit/Write only outside<UNITY_PROJECT_ROOT>/Assets/. mcp__ai-game-developer__console-get-logs— after compile or play-mode session.mcp__ai-game-developer__tests-run— before declaring complete, at minimum EditMode for touched assemblies.mcp__ai-game-developer__script-execute— one-shot runtime probe.- Optional:
python .claude/scripts/dots_scan.py <path>for common DOTS anti-patterns.
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 First seen · 97 lines · 56 tokens per session scan A 303d37ea83ed
unity-dots-dev is an agent published in the GitHub repository dyCuong03/unity-agent-team (7 stars, last pushed 2mo ago), licensed MIT. It adds 56 tokens to every session and 1,271 once invoked, about $0.0002 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 2026-10-02.
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