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 agentmods add agents/jerry0022/dotclaude/gamergit clone --depth 1 https://github.com/Jerry0022/dotclaudeWrote 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/jerry0022/dotclaude/gamer)<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>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 | $0.00080 | $0.00964 |
| Opus 5 | $0.00040 | $0.00482 |
| Sonnet 5 | $0.00016 | $0.00193 |
| Haiku 4.5 | $0.00008 | $0.00096 |
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.
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
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.
- 3d ago First seen · 101 lines · 80 tokens per session scan A 097439ed9327
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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