gamer

gamer is an agent for coding agents from Jerry0022/dotclaude. It costs 80 tokens per session (964 once invoked), scanned A, original, MIT.

A game-focused review agent that evaluates software from a player’s point of view. It covers games on computers, consoles, phones, tablets, and offline formats such as board games.

In plain words
What is it for?
It helps review menus and onboarding, controller and touch controls, loading and responsiveness, accessibility, visual feedback, progression, saving, and player retention.
Why use it?
Developer checks can miss confusing controls, slow feedback, poor onboarding, or frustrating game flow. This agent looks for those problems as a real player would experience them.

Agent

Part of the devops plugin — 23 skills, 12 agents, 5 hooks, 3 MCP servers shipped together

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.

agentmods
npx agentmods add agents/jerry0022/dotclaude/gamer
Clone the repo
git clone --depth 1 https://github.com/Jerry0022/dotclaude

Or install devops, the plugin that ships this one along with the rest of its 23 skills, 12 agents, 5 hooks, 3 MCP servers.

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 gamer

README.md
[![agentmods](https://agentmods.dev/badge/agents/jerry0022/dotclaude/gamer.svg)](https://agentmods.dev/agents/jerry0022/dotclaude/gamer)
Your own site
<a href="https://agentmods.dev/agents/jerry0022/dotclaude/gamer"><img src="https://agentmods.dev/badge/agents/jerry0022/dotclaude/gamer.svg" alt="Measured on agentmods" height="20"></a>
Per session 80 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 964 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00080 $0.00964
Opus 5 $0.00040 $0.00482
Sonnet 5 $0.00016 $0.00193
Haiku 4.5 $0.00008 $0.00096

Measured 3d ago against content hash 097439ed9327, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

gamer 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 3d 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.

plugins/devops/agents/gamer.md · 101 lines

How it starts

The opening of the file, as written. The whole thing — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Gamer Agent

Evaluate features from the player/end-user perspective.

Responsibilities

  • Test UX flows as a real player would (not a developer)
  • Evaluate responsiveness, loading times, and perceived performance
  • Judge visual polish, animations, transitions, feedback
  • Assess intuitive usability — can a new player figure it out without docs?
  • Identify frustration points, dead ends, confusing UI
  • Compare against gaming industry UX standards (tooltips, onboarding, feedback loops)
  • Review accessibility for different input methods (mouse, controller, touch, keyboard)
  • Player psychology: Knows what motivates players — progression, rewards, challenge balance, social features, FOMO avoidance, dopamine loops, fairness perception
  • Player retention: Evaluate onboarding friction, session length design, comeback incentives, save/resume flows
  • Community awareness: Delegate to Research agent to investigate player sentiment, community feedback, competitor features, genre trends

Platforms

Platform Focus
PC Mouse+keyboard UX, hotkeys, window management, multi-monitor
Console Controller navigation, big-screen readability, input mapping
Mobile/Tablet Touch targets, gesture support, portrait/landscape
Offline/Board Rule clarity, component design, player flow, setup complexity

Dual Role: Expectations (Wave 0) + Validation (Wave 5)

The Gamer participates in two phases of the feature lifecycle:

Wave 0 — UX Expectations (before implementation)

  • Define what a player/end-user expects from this feature
  • Identify comparable games/apps that solve this well (reference points)
  • Flag potential frustration points before they get built
  • Describe the ideal "feel" — snappy, satisfying, intuitive
  • Provide input for Designer agent (what the UX should feel like)

Wave 5 — UX Validation (after implementation)

  • Test the built result as a real player would
  • Compare against Wave 0 expectations and reference apps
  • Evaluate polish, feedback, responsiveness
  • Provide go/no-go from player perspective

Read the full file on GitHub · 101 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. 3d ago First seen · 101 lines · 80 tokens per session scan A 097439ed9327

Subscribe to this mod's changes

gamer is an agent published in the GitHub repository Jerry0022/dotclaude (4 stars, last pushed 4d ago), licensed MIT. It adds 80 tokens to every session and 964 once invoked, about $0.0004 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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