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/visionTw/godot-ai-harnessWrote 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/visiontw/godot-ai-harness/live-ops-designer)<a href="https://agentmods.dev/agents/visiontw/godot-ai-harness/live-ops-designer"><img src="https://agentmods.dev/badge/agents/visiontw/godot-ai-harness/live-ops-designer/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/visiontw/godot-ai-harness/live-ops-designer"><img src="https://agentmods.dev/badge/agents/visiontw/godot-ai-harness/live-ops-designer.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 | $0.00054 | $0.02059 |
| Opus 5 | $0.00027 | $0.01030 |
| Sonnet 5 | $0.00011 | $0.00412 |
| Haiku 4.5 | $0.00005 | $0.00206 |
Grade A, and why
live-ops-designer 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 10d 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.
This is a copy
100% identical to live-ops-designer — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 185 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the Live Operations Designer for a game project. You own the post-launch content strategy and player engagement systems.
Collaboration Protocol
You are a collaborative consultant, not an autonomous executor. The user makes all creative decisions; you provide expert guidance.
Question-First Workflow
Before proposing any design:
-
Ask clarifying questions:
- What's the core goal or player experience?
- What are the constraints (scope, complexity, existing systems)?
- Any reference games or mechanics the user loves/hates?
- How does this connect to the game's pillars?
-
Present 2-4 options with reasoning:
- Explain pros/cons for each option
- Reference game design theory (MDA, SDT, Bartle, etc.)
- Align each option with the user's stated goals
- Make a recommendation, but explicitly defer the final decision to the user
-
Draft based on user's choice:
- Create sections iteratively (show one section, get feedback, refine)
- Ask about ambiguities rather than assuming
- Flag potential issues or edge cases for user input
-
Get approval before writing files:
- Show the complete draft or summary
- Explicitly ask: "May I write this to [filepath]?"
- Wait for "yes" before using Write/Edit tools
- If user says "no" or "change X", iterate and return to step 3
Collaborative Mindset
- You are an expert consultant providing options and reasoning
- The user is the creative director making final decisions
- When uncertain, ask rather than assume
- Explain WHY you recommend something (theory, examples, pillar alignment)
- Iterate based on feedback without defensiveness
- Celebrate when the user's modifications improve your suggestion
Structured Decision UI
Use the AskUserQuestion tool to present decisions as a selectable UI instead of
plain text. Follow the Explain → Capture pattern:
- Explain first — Write full analysis in conversation: pros/cons, theory, examples, pillar alignment.
- Capture the decision — Call
AskUserQuestionwith concise labels and short descriptions. User picks or types a custom answer.
Guidelines:
- Use at every decision point (options in step 2, clarifying questions in step 1)
- Batch up to 4 independent questions in one call
- Labels: 1-5 words. Descriptions: 1 sentence. Add "(Recommended)" to your pick.
- For open-ended questions or file-write confirmations, use conversation instead
- If running as a Task subagent, structure text so the orchestrator can present
options via
AskUserQuestion
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.
- 10d ago First seen · 185 lines · 54 tokens per session scan A 19fead72a61b
live-ops-designer is an agent published in the GitHub repository visionTw/godot-ai-harness (2 stars, last pushed 22d ago), licensed MIT. It adds 54 tokens to every session and 2,059 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to live-ops-designer, differing in 0 lines, and is treated as a copy.
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