What is karpathy-output-evolution?

A method for turning plain AI text into reusable formats such as self-contained web pages, interactive tables, presentations, dashboards, and charts. It treats the output format as part of the answer, not just an afterthought.

Use it to turn notes into HTML documents, convert content into Marp slide decks, create sortable or searchable pages, and produce interactive data displays.

It makes complex information easier to read, reuse, present, or explore. Structured output can be more useful than a long block of text when the result will be shared or revisited.

karpathy-output-evolution — Skill for Claude Code by LearnPrompt

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.

Any agent

npx skills add LearnPrompt/andrej-karpathy-skills --skill karpathy-output-evolution

Clone the repo

git clone --depth 1 https://github.com/LearnPrompt/andrej-karpathy-skills

Made for: Claude Code.

Or install karpathy-skills, the plugin that ships this one along with the rest of its 15 skills.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/learnprompt/andrej-karpathy-skills/karpathy-output-evolution/github.svg)](https://agentmods.dev/skills/learnprompt/andrej-karpathy-skills/karpathy-output-evolution)

Your own site

<a href="https://agentmods.dev/skills/learnprompt/andrej-karpathy-skills/karpathy-output-evolution"><img src="https://agentmods.dev/badge/skills/learnprompt/andrej-karpathy-skills/karpathy-output-evolution/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/learnprompt/andrej-karpathy-skills/karpathy-output-evolution"><img src="https://agentmods.dev/badge/skills/learnprompt/andrej-karpathy-skills/karpathy-output-evolution.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 109 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,525 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. Third-party audits

NVIDIA SkillSpector pass 7 Sept 2026

How audits are shown

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.

Model	Per session	Once invoked
Fable 5.1	$0.00109	$0.01525
Opus 5.5	$0.00044	$0.00610
Sonnet 5.5	$0.00022	$0.00305
Haiku 4.5	$0.00011	$0.00153

Measured 2mo ago against content hash e4f3661c60bf, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

karpathy-output-evolution 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 2mo 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.

karpathy-output-evolution/SKILL.md · 183 lines

How it starts

The opening of the file, as written. The whole thing — 183 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill 7: Output Evolution（输出形式进化）

Source: https://x.com/karpathy/status/2053872850101285137 "HTML output + human-AI I/O evolution" — ~19k likes

Core Principle

Text is the lowest form of output. Demand structure.

Karpathy's progression: Text → Markdown → HTML → Interactive → (future) Neural

Every LLM output can be upgraded. A wall of text becomes a rendered document. A list becomes a sortable table. An explanation becomes a slide deck. The information is the same — but legibility and retention multiply.

The Output Evolution Ladder

Level 1: Plain text          ← most common, least useful for complex info
Level 2: Markdown            ← better, but not rendered in most contexts  
Level 3: Self-contained HTML ← renders anywhere, no dependencies
Level 4: Interactive HTML    ← sortable tables, collapsible sections, search
Level 5: Marp slides         ← presentations, teaching, sharing
Level 6: Data viz            ← charts, graphs, dashboards

Default rule: Always request at least Level 3 for any output you'll reuse or share.

Prompt Templates by Output Type

HTML Document (Level 3)

[YOUR CONTENT REQUEST]

Output format: A single self-contained HTML file.
Requirements:
- All CSS inline or in a <style> block (no external dependencies)
- Clean, readable typography (use system fonts: -apple-system, sans-serif)
- Proper heading hierarchy (h1 → h2 → h3)
- Key terms in <strong>, code in <code> blocks
- A table of contents at the top if > 3 sections
- Light/readable color scheme (#f8f9fa background, #212529 text)

Start with <!DOCTYPE html> and end with </html>. Nothing else.

Marp Slides (Level 5)

[YOUR CONTENT REQUEST]

Output format: Marp markdown slide deck.
Requirements:
- Start with: ---\nmarp: true\ntheme: default\npaginate: true\n---
- Separate each slide with ---
- Max 5 bullet points per slide
- One key concept per slide
- Speaker notes after each slide (<!-- note: ... -->)
- First slide: title + author + date
- Last slide: "Key Takeaways" + 3-5 bullets

Total slides: [N] (default: one per major concept)

Read the full file on GitHub · 183 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.

2mo ago First seen · 183 lines · 109 tokens per session scan A e4f3661c60bf

Subscribe to this mod's changes

karpathy-output-evolution is a skill published in the GitHub repository LearnPrompt/andrej-karpathy-skills (122 stars, last pushed 3mo ago), licensed MIT. It adds 109 tokens to every session and 1,525 once invoked, about $0.0004 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.

Creative and media

karpathy-output-evolution next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
karpathy-output-evolutionLearnPrompt/andrej-karpathy-skills	Skill	122	3mo ago	MIT	A	109	Claude Code
imagegenopenai/codex	Skill	134k	today	Apache-2.0	A	113	Codex
playwright-climicrosoft/playwright	Skill	99k	today	Apache-2.0	A	19	Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginners	Skill	79k	today	MIT	A	200	Claude Code, Codex
systematic-debuggingobra/superpowers	Skill	314k	3d ago	MIT	A	21	Claude Code
next-cache-components-adoptionvercel/next.js	Skill	143k	today	MIT	A	95	Claude Code
next-partial-prefetching-adoptionvercel/next.js	Skill	143k	today	MIT	A	103	Claude Code