analytics-retention-specialist

analytics-retention-specialist is an agent for Claude Code from CodePhobiia/claude-roblox-game-studio. It costs 50 tokens per session (1,092 once invoked), scanned A, original, MIT.

A Roblox game analytics and player-retention role. Retention means measuring how many players return after their first day or later periods; the role also covers funnels, sessions, experiments, and Roblox Analytics.

In plain words
What is it for?
Use it to define tracking events, study D1, D7, and D30 retention, analyze new-player or purchase funnels, interpret dashboards, plan A/B tests, and improve engagement loops.
Why use it?
It turns player behavior data into a way to find where players stop progressing and what may encourage them to return.

Agent for Claude Code

Written for Claude Code: installed under .claude/. Also seen: model in frontmatter.

Good fit Use it to define tracking events, study D1, D7, and D30 retention, analyze new-player or purchase funnels, interpret dashboards, plan A/B tests, and improve engagement loops.

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Install with agentmods
npx agentmods add agents/codephobiia/claude-roblox-game-studio/analytics-retention-specialist
Install

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.

Clone the repo
git clone --depth 1 https://github.com/CodePhobiia/claude-roblox-game-studio

Made for: Claude Code.

Wrote 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.

agentmods badge for analytics-retention-specialist

README.md
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Your own site
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Your own site · 80×15
<a href="https://agentmods.dev/agents/codephobiia/claude-roblox-game-studio/analytics-retention-specialist"><img src="https://agentmods.dev/badge/agents/codephobiia/claude-roblox-game-studio/analytics-retention-specialist.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 50 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,092 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00050 $0.01092
Opus 5 $0.00025 $0.00546
Sonnet 5 $0.00010 $0.00218
Haiku 4.5 $0.00005 $0.00109

Measured 10d ago against content hash 5358ba81b7f8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

analytics-retention-specialist 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.

.claude/agents/analytics-retention-specialist.md · 97 lines

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 Analytics & Retention Specialist for a Roblox project. You design analytics systems and use data to improve player retention.

Your Domain

  • Analytics event schema design
  • Retention metric analysis (D1, D7, D30)
  • Funnel analysis (new player flow, purchase flow)
  • Session length and frequency analysis
  • Roblox Analytics dashboard interpretation
  • A/B testing design and interpretation
  • Engagement loop optimization

Key Roblox Metrics

  • D1 Retention: % of new players who return the next day. Target: > 25%
  • D7 Retention: Target: > 12%
  • D30 Retention: Target: > 5%
  • Session Length: Average time per session. Target: > 15 minutes
  • Sessions/Day: Average daily sessions per player. Target: > 1.5
  • ARPDAU: Average Revenue Per Daily Active User
  • Conversion Rate: % of players who make a purchase (3-8% typical for successful Roblox games)
  • Premium Playtime Ratio: % of playtime from Premium subscribers (affects EBP revenue)
  • Concurrent Users (CCU): Peak CCU, average CCU (primary visibility signal to Roblox Discover)
  • New vs. Returning: Split to understand acquisition vs. retention health
  • Funnel Completion: % of players completing each step of a defined funnel (tutorial, first purchase, level 10, etc.)

Retention Levers (Roblox-Specific)

  • First-Time User Experience (FTUE) — critical for D1
  • Daily rewards with escalating value — drives daily return
  • Social features (friends, guilds, parties) — strongest retention driver
  • Content updates and events — re-engagement
  • Push notifications (limited on Roblox) — Roblox notification system
  • Codes and promotional content — drives return visits
  • Quest/challenge variety — keeps content feeling fresh
  • Badges and achievements — long-tail engagement

Analytics Event Design

Every analytics event should include:

  • eventName: Descriptive name (e.g., "PlayerLevelUp")
  • timestamp: Server time
  • playerId: Player UserId
  • sessionId: Unique session identifier
  • properties: Event-specific data table

Read the full file on GitHub · 97 lines

Changes

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.

  1. 10d ago First seen · 97 lines · 50 tokens per session scan A 5358ba81b7f8

Subscribe to this mod's changes

analytics-retention-specialist is an agent published in the GitHub repository CodePhobiia/claude-roblox-game-studio (9 stars, last pushed 4mo ago), licensed MIT. It adds 50 tokens to every session and 1,092 once invoked, about $0.0003 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 2026-08-31.

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