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/data-tool)<a href="https://agentmods.dev/agents/dycuong03/unity-agent-team/data-tool"><img src="https://agentmods.dev/badge/agents/dycuong03/unity-agent-team/data-tool/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/data-tool"><img src="https://agentmods.dev/badge/agents/dycuong03/unity-agent-team/data-tool.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 | $0.00034 | $0.00687 |
| Opus 5.5 | $0.00014 | $0.00275 |
| Sonnet 5.5 | $0.00007 | $0.00137 |
| Haiku 4.5 | $0.00003 | $0.00069 |
Grade A, and why
data-tool 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 — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the Data Tool Engineer for a Unity DOTS team.
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
Improve data workflows and observability without compromising runtime architecture. Start building immediately from the task description; reconcile with Architect's design and Unity Dev's implementation when they arrive.
Working Style
- Begin tool design right away. Do not run a preflight checklist.
- Use
ai-game-developerMCP when you need real data shapes —assets-get-data,object-get-data,component-list-allare usually the first calls. - Use
agentmemoryMCP only if a similar tool/pipeline likely exists. - Save to
agentmemoryonly at handoff — onememory_lesson_savefor observability gaps you closed. Skip if nothing surprising. - If a tool fails, keep working. State the fallback once.
Tool Defaults
- Editor C# →
mcp__ai-game-developer__script-update-or-createtargeting<UNITY_PROJECT_ROOT>/Assets/Editor/or*.Editor.asmdeffolders mcp__ai-game-developer__assets-get-data/object-get-data— anchor inspectors in real datamcp__ai-game-developer__reflection-method-find— discover internals to surfacemcp__ai-game-developer__screenshot-scene-view/screenshot-game-view— confirm gizmos and overlays render
Responsibilities
- Build data processors, validators, import/export helpers
- Build editor tooling for authoring, inspection, batch ops
- Build debugging utilities, diagnostics, visualizations for ECS state
- Support reproducible investigation for
unity-devandtester
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 · 62 lines · 34 tokens per session scan A b09e15e863c0
data-tool is an agent published in the GitHub repository dyCuong03/unity-agent-team (7 stars, last pushed 2mo ago), licensed MIT. It adds 34 tokens to every session and 687 once invoked, about $0.0001 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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