What is karpathy-meta-reflection?

A structured career-reflection guide about how artificial intelligence is changing your programming skills, work, and opportunities.

Use it for monthly career reviews, checking for skill loss, deciding what to keep learning, and assessing how much work to delegate to AI.

It helps you notice which abilities you are practicing less, which new abilities AI enables, and what your job now requires.

karpathy-meta-reflection — 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-meta-reflection

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-meta-reflection/github.svg)](https://agentmods.dev/skills/learnprompt/andrej-karpathy-skills/karpathy-meta-reflection)

Your own site

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

Per session 100 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,627 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	$0.00100	$0.01627
Opus 5.5	$0.00040	$0.00651
Sonnet 5.5	$0.00020	$0.00325
Haiku 4.5	$0.00010	$0.00163

Measured 2mo ago against content hash 2b8172cd96af, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

karpathy-meta-reflection 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-meta-reflection/SKILL.md · 184 lines

How it starts

The opening of the file, as written. The whole thing — 184 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill 10: Meta-Reflection（元反思）

Source: https://x.com/karpathy/status/2004607146781278521 | https://x.com/karpathy/status/2015883857489522876 "I've never felt this much behind as a programmer" — 56k likes

Core Principle

The landscape is shifting faster than your intuition updates. Deliberate reflection is how you stay calibrated.

Karpathy tracks three things relentlessly:

What skills are atrophying (AI is taking over, for better or worse)
What's exploding (new leverage you didn't have before)
What's your real job now (has the role description changed under your feet?)

Monthly Career Audit Prompt

Run this once a month, 20-30 minutes:

Monthly AI Impact Audit — [MONTH YEAR]

My role/field: [YOUR JOB OR DOMAIN]

Part 1: ATROPHYING SKILLS
Things I've been having AI do in the last month:
[LIST 5-10 TASKS YOU DELEGATED TO AI]

For each, analyze:
- How much would it hurt if AI wasn't available for this?
- Is my ability to do this manually getting worse?
- Is that acceptable? (YES = commodity skill / NO = must maintain)

Part 2: EXPLODING LEVERAGE
New things I can now do (or do much faster) because of AI:
[LIST 3-5 NEW CAPABILITIES OR SPEED MULTIPLIERS]

For each: what specifically unlocked this? What should I double down on?

Part 3: ROLE REDEFINITION
Complete this: "In 2023, my job was to [X]. In [CURRENT YEAR], my job is actually to [Y]."

Part 4: NEXT MONTH FOCUS
1. One skill I will DELIBERATELY practice without AI:
2. One new AI capability I will DELIBERATELY learn:
3. One thing I will STOP doing manually because AI is better:

The Atrophy/Leverage Matrix

For any skill you have, plot it on this 2x2:

                    HIGH LEVERAGE WITH AI
                           │
    MUST RETAIN            │      MAXIMIZE
    (ai makes it faster    │      (your competitive
     but you need the      │      edge lives here)
     judgment)             │
                           │
HIGH ──────────────────────┼────────────────────── LOW
ATROPHY                    │                      ATROPHY
                           │
    SAFELY DELEGATE        │      ABANDON/AUTOMATE
    (commodity, ai is      │      (low value, losing
     better, let it go)    │      it doesn't matter)
                           │
                    LOW LEVERAGE WITH AI

Read the full file on GitHub · 184 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 · 184 lines · 100 tokens per session scan A 2b8172cd96af

Subscribe to this mod's changes

karpathy-meta-reflection is a skill published in the GitHub repository LearnPrompt/andrej-karpathy-skills (122 stars, last pushed 3mo ago), licensed MIT. It adds 100 tokens to every session and 1,627 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.

Learning and teaching Productivity

karpathy-meta-reflection next to 6 skills from other repositories
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