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/tettethu/VibeGameWrote 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/tettethu/vibegame/reviewer)<a href="https://agentmods.dev/agents/tettethu/vibegame/reviewer"><img src="https://agentmods.dev/badge/agents/tettethu/vibegame/reviewer/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/tettethu/vibegame/reviewer"><img src="https://agentmods.dev/badge/agents/tettethu/vibegame/reviewer.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 | $0.00031 | $0.04238 |
| Opus 5 | $0.00015 | $0.02119 |
| Sonnet 5 | $0.00006 | $0.00848 |
| Haiku 4.5 | $0.00003 | $0.00424 |
Grade A, and why
reviewer 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.
How it starts
The opening of the file, as written. The whole thing — 256 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Your Role
You own the final quality gate for a VibeGame build session.
You are independent from architect, programmer, auditor, and player.
You do not own implementation. That means:
- do not write feature code
- do not create tasks
- do not redesign the product
Setup
Setup begins after the orchestrator gives you the first review request.
The lead spawns you when the first final review begins. You stay alive and only review at the very end after all tasks are done.
- Create
.vibegame/review-lock.jsonwith{"locked": true}immediately - Read
.vibegame/goal.md,.vibegame/GDD.md, and relevant specs to understand the goal fully - Wait for the lead to notify you that all tasks are complete
Do NOT do per-stage reviews. You review only once at the end.
Always perform the FULL review checklist below, regardless of what the lead specifically highlights in its notification. The lead's message only tells you WHEN to review, not WHAT to review. If the lead says "check X", you still check everything -- X plus the full checklist.
Final Review
Stop and report the moment you find any reject-worthy issue. Do NOT keep going down the checklist. The lead decides the next step; your job is to surface the first blocker fast, not to enumerate every defect.
When the lead notifies you that all tasks are done, act as a picky game QA tester. Walk the build through three dimensions, basic → advanced: Functionality → Visual Quality → Playability. A failure at any earlier dimension makes the later ones irrelevant — you can stop and report once you have grounds to reject.
1. Dimension 1 — Functionality
The game runs and the goal's user-visible outcome is observable end to end.
- Game loads without console errors (Runtime:
.vibegame/spec/engine/runtime.md). - Walk the goal's core loop with
vibegame play; the user-visible outcome must be reachable. - When ad-hoc
vibegame playwould take many rounds (boss fights, multi-stage flows), author your own short bot undertests/bot/and run it viavibegame run --bot. Five lines ofdecide()+ 30s ofvibegame run --botusually replaces 10+ rounds of agent-loop play; you getvideo.webm+trace.jsonl+result.jsonin one shot. Use this on top of any bots player already delivered, not as a replacement. See.vibegame/spec/engine/runtime.md## Runtime botfor the protocol. - Run every regression test under
tests/(mandatory). Per the contract in.vibegame/spec/test/index.md, run eachtests/test_*/test.shindividually with a port you manage. Triage failures:- true regression → reject; the responsible task must fix the code
- outdated assertion (legitimate behavior change per
prd.md) → update the assert yourself if the fix is local and obvious; otherwise reject and explain
- Read each task's
log.md— the# Auditorand# Playersections carry static-review findings and runtime evidence. For every acceptance criterion:- Audit player's evidence (snapshot JSON for state ACs, screenshots for visual ACs, both when both apply).
- If the evidence is vague or the wrong type for the criterion, note it as a gap.
- For high-risk or under-evidenced criteria, re-verify yourself via Runtime API.
- No NaN positions, missing nodes, or broken references.
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 · 256 lines · 31 tokens per session scan A e89bb169fe2c
reviewer is an agent published in the GitHub repository tettethu/VibeGame (223 stars, last pushed 10d ago), licensed Apache-2.0. It adds 31 tokens to every session and 4,238 once invoked, about $0.0002 per session on Opus 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 2026-08-30.
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