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.
npx skills add TabooHarmony/roblox-brain --skill roblox-growth-designgit clone --depth 1 https://github.com/TabooHarmony/roblox-brainWrote 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/skills/tabooharmony/roblox-brain/roblox-growth-design)<a href="https://agentmods.dev/skills/tabooharmony/roblox-brain/roblox-growth-design"><img src="https://agentmods.dev/badge/skills/tabooharmony/roblox-brain/roblox-growth-design/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/skills/tabooharmony/roblox-brain/roblox-growth-design"><img src="https://agentmods.dev/badge/skills/tabooharmony/roblox-brain/roblox-growth-design.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00024 | $0.01322 |
| Opus 5 | $0.00012 | $0.00661 |
| Sonnet 5 | $0.00005 | $0.00264 |
| Haiku 4.5 | $0.00002 | $0.00132 |
Grade A, and why
roblox-growth-design 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 6d 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 — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Roblox Growth Design
When to Load
Load for growth, discovery, retention, onboarding, packaging, or LiveOps; route implementation to domain skills.
Quick Reference
Diagnose before prescribing
- Ask for dashboard, release, acquisition, and session evidence. Never invent metrics.
- Find the narrowest broken transition: impression→play, join→control, action→payoff, return, or purchase.
- Write a falsifiable hypothesis: If Y changes because evidence Z, X should move without harming G.
- Prefer one test with a primary metric, counter-metrics, MDE, and decision rule.
- Stop for safety, severe regressions, or invalid instrumentation; avoid significance peeking.
Home diagnosis
- Low Play-Through Rate (PTR, was QPTR): packaging readability, promise accuracy, or audience mismatch. Also check Experience Detail Page CTR.
- High First-Play Bounce Rate (negative stat): misleading package/clickbait, join failure, performance, confusing FTUE, or delayed payoff.
- Low D1: core loop, onboarding, stability, goals, or first payoff.
- Low D7/D30: progression, variety, social value, LiveOps, endgame, or exhaustion.
- Low conversion/ARPPU: product fit, value communication, friction, catalog depth, or concentration.
- Low 7-day spend days / play days per user: consumables, purchase pathways, or event cadence.
These are hypotheses, not one-to-one causes. Segment and test. Per-stat tactics in full.md §3–§6.
Algorithm hotspots (2026)
Provenance: (official) = documented platform behavior; (practitioner) = operator observation, experience-based, not verified as a ranking rule.
- Cold traffic (practitioner): ads are the cheapest, least-qualified players; Home algo ranks the qualified audience. Launch stats look bad on ad players. Don't panic.
- Ranking: Roblox docs say benchmark games do not affect ranking; the similar-games benchmark is rough context only. A practitioner model (unverified hypothesis) adds staging: genre-wide first, then against "experiences with similar players," where better-statted competitors take your players. Use the benchmark to choose comparison cohorts, not as a ranking rule.
- Ads do not buy Home placement (practitioner); meaningful stat-improving updates do. 28-day signals (D1, D2–7, D8–28); updates take days to show.
- Beta mode hides a game from Home (official feature); tune metrics on cheap ad traffic before opening to the algo.
- The 500 highly-engaged-player requirement (official): all-ages games start 16+ only until 500 highly engaged age-checked plays within 60 days. Definition (official, evolving): account tenure + playtime in your game + a purchase anywhere on Roblox in the last 60 days. 100 = publishing-fee refund threshold (separate). Ads serve 16+ automatically. Home impressions accelerate the count fastest.
- Experience detail page matters: put your best thumbnails and a gameplay description there; it feeds overall play-through.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 6d ago Changed · +2 lines 3f0746de8cab
- 12d ago First seen · 81 lines · 24 tokens per session scan A 9d7d65805519
roblox-growth-design is a skill published in the GitHub repository TabooHarmony/roblox-brain (43 stars, last pushed 6d ago), licensed MIT. It adds 24 tokens to every session and 1,322 once invoked, about $0.0001 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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