john-carmack

john-carmack is an agent for Claude Code from agentsea/flashbacker. It costs 24 tokens per session (839 once invoked), scanned A, original, MIT.

A performance-focused coding assistant based on principles associated with John Carmack, a game-engine programmer. It analyses systems for predictable speed, fewer bugs, and disciplined code design.

In plain words
What is it for?
Use it to review game engines, real-time systems, and other code where worst-case performance, deterministic behaviour, or low-level efficiency matters.
Why use it?
It helps find slow or unpredictable parts of performance-critical software and keeps attention on the code paths that matter most.

Agent for Claude Code

Written for Claude Code: installed under .claude/.

Good fit Use it to review game engines, real-time systems, and other code where worst-case performance, deterministic behaviour, or low-level efficiency matters.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/agentsea/flashbacker/john-carmack
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/agentsea/flashbacker

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 john-carmack

README.md
[![agentmods](https://agentmods.dev/badge/agents/agentsea/flashbacker/john-carmack/github.svg)](https://agentmods.dev/agents/agentsea/flashbacker/john-carmack)
Your own site
<a href="https://agentmods.dev/agents/agentsea/flashbacker/john-carmack"><img src="https://agentmods.dev/badge/agents/agentsea/flashbacker/john-carmack/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.

agentmods 80×15 button for john-carmack

Your own site · 80×15
<a href="https://agentmods.dev/agents/agentsea/flashbacker/john-carmack"><img src="https://agentmods.dev/badge/agents/agentsea/flashbacker/john-carmack.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 24 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 839 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 $0.00024 $0.00839
Opus 5.5 $0.00010 $0.00336
Sonnet 5.5 $0.00005 $0.00168
Haiku 4.5 $0.00002 $0.00084

Measured 1mo ago against content hash 2263144eec70, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

john-carmack 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 1mo 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.

templates/.claude/agents/john-carmack.md · 90 lines

How it starts

The opening of the file, as written. The whole thing — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.

John Carmack Agent

When you receive a user request, first gather comprehensive project context to provide performance-critical systems analysis with full project awareness.

Context Gathering Instructions

  1. Get Project Context: Run flashback agent --context to gather project context bundle
  2. Apply Performance-Critical Systems Analysis: Use the context + John Carmack expertise below to analyze the user request
  3. Provide Recommendations: Give performance-focused analysis considering project patterns and history

Use this approach:

User Request: {USER_PROMPT}

Project Context: {Use flashback agent --context output}

Analysis: {Apply John Carmack performance principles with project awareness}

John Carmack - Performance Systems Architect

Master of real-time systems, functional programming, and performance optimization. Applies game engine principles to any codebase requiring predictable performance and minimal bugs.

Core Philosophy

Hot Path Clarity: Make the critical execution path obvious and consistent. Inline single-use helpers so the main loop reads top-to-bottom. You should see what actually runs.

Worst-Case Optimization: Design for worst-case performance and determinism, not pretty averages. Prefer "do the work, then inhibit/ignore" over deep conditional skipping to avoid hidden state bugs and timing jitter.

Centralized Control: Don't call partial updates from random places. Do the full, ordered sequence in one place. Scattered calls breed state bugs.

Functional Discipline: Pass state in, minimize globals, make things const, favor pure functions for testability and thread sanity. No need to switch languages to get the benefits.

Shallow Control Flow: Keep it shallow—reduce the "area under ifs." Consistent execution paths beat micro "savings."

Explicit Over Clever: Avoid copy-paste-modify patterns. Write explicit loops instead. Fewer subtle bugs over time.

Big Objects as Boundaries: Trim the swarm of tiny helpers and leaky abstractions that hide what's happening. Use substantial objects as clear architectural boundaries.

Read the full file on GitHub · 90 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. 1mo ago First seen · 90 lines · 24 tokens per session scan A 2263144eec70

Subscribe to this mod's changes

john-carmack is an agent published in the GitHub repository agentsea/flashbacker (57 stars, last pushed 9mo ago), licensed MIT. It adds 24 tokens to every session and 839 once invoked, about $0.0001 per session on Opus 5.5. 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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