karpathy-llm-wiki

karpathy-llm-wiki is a skill for Claude Code from LearnPrompt/andrej-karpathy-skills. It costs 101 tokens per session (1,549 once invoked), scanned A, original, MIT.

A method for building an AI-maintained personal knowledge base, often stored as an Obsidian vault. It collects papers, articles, chat logs, and notes, then organizes them into linked pages.

In plain words
What is it for?
Use it to ingest research papers and web articles, compile notes into a wiki, update topic pages, check the wiki for inconsistencies, and create digests or slide material.
Why use it?
It reduces the manual work of sorting research, removing duplicates, and keeping related notes connected. It also records possible contradictions between sources.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter.

Part of the karpathy-skills plugin — 15 skills shipped together

Good fit Use it to ingest research papers and web articles, compile notes into a wiki, update topic pages, check the wiki for inconsistencies, and create digests or slide material.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/learnprompt/andrej-karpathy-skills/karpathy-llm-wiki
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-llm-wiki
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.

agentmods badge for karpathy-llm-wiki

README.md
[![agentmods](https://agentmods.dev/badge/skills/learnprompt/andrej-karpathy-skills/karpathy-llm-wiki/github.svg)](https://agentmods.dev/skills/learnprompt/andrej-karpathy-skills/karpathy-llm-wiki)
Your own site
<a href="https://agentmods.dev/skills/learnprompt/andrej-karpathy-skills/karpathy-llm-wiki"><img src="https://agentmods.dev/badge/skills/learnprompt/andrej-karpathy-skills/karpathy-llm-wiki/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 karpathy-llm-wiki

Your own site · 80×15
<a href="https://agentmods.dev/skills/learnprompt/andrej-karpathy-skills/karpathy-llm-wiki"><img src="https://agentmods.dev/badge/skills/learnprompt/andrej-karpathy-skills/karpathy-llm-wiki.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 101 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,549 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00101 $0.01549
Opus 5.5 $0.00040 $0.00620
Sonnet 5.5 $0.00020 $0.00310
Haiku 4.5 $0.00010 $0.00155

Measured 2mo ago against content hash 9883b5376c98, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

karpathy-llm-wiki 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-llm-wiki/SKILL.md · 181 lines

How it starts

The opening of the file, as written. The whole thing — 181 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill 2: LLM Wiki / Personal Knowledge Base(LLM知识库)

Source: https://x.com/karpathy/status/2039805659525644595 | https://gist.github.com/karpathy/442a6bf555914893e9891c11519de94f "59k likes — LLM Knowledge Bases" — top-2 most-liked post

Core Principle

You explore. The LLM maintains.

You read the world, capture raw signals. The LLM compiles, cross-links, deduplicates, lint-checks, and surfaces contradictions. Your Obsidian vault is the output, not the input.

Architecture

RAW INPUTS                 LLM LAYER                  OUTPUT
──────────                 ─────────                  ──────
Papers (PDF/arXiv)  ──→   ingest.py              ──→  entities/*.md
Articles (URL)      ──→   compile_wiki.py        ──→  index.md
Chat logs           ──→   lint_wiki.py           ──→  contradiction_log.md
Notes (voice/text)  ──→   query_wiki.py          ──→  slides/
                          update_entity.py       ──→  weekly_digest.md

The 5 Core Prompts

1. Ingest Prompt

You are a knowledge compiler. Given this raw source:

[PASTE RAW CONTENT]

Source URL/title: [SOURCE]
Date: [DATE]

Extract and output:
1. Key entities (people, concepts, tools, papers) — one per line with a 2-sentence description
2. Key claims with confidence level (high/medium/speculative)
3. Connections to existing topics: [LIST YOUR KNOWN TOPICS]
4. Contradictions with anything you know: [WHAT YOU ALREADY BELIEVE]
5. Suggested entity page updates (format: ENTITY_NAME | UPDATE_TEXT)

2. Compile Wiki Entry Prompt

You are maintaining a personal knowledge wiki. Update the entity page for [ENTITY_NAME].

Existing page content:
[CURRENT_PAGE_CONTENT]

New information to integrate:
[NEW_INFO]

Rules:
- Preserve all existing information; only add or correct
- Flag contradictions with: ⚠️ CONFLICT: [old claim] vs [new claim]
- Keep the page under 500 words
- End with: "Last updated: [DATE] | Sources: [LINKS]"

3. Weekly Ingest Prompt (run every week)

Process this week's reading list:
[PASTE 5-10 ITEMS: title + URL + 1-sentence summary]

For each item:
1. Extract top 3 entities to update
2. List 2-3 key claims worth adding to wiki
3. Note any contradictions with existing knowledge
4. Suggest connections to other entities in my wiki

Output as structured markdown, one section per item.

Read the full file on GitHub · 181 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. 2mo ago First seen · 181 lines · 101 tokens per session scan A 9883b5376c98

Subscribe to this mod's changes

karpathy-llm-wiki is a skill published in the GitHub repository LearnPrompt/andrej-karpathy-skills (122 stars, last pushed 3mo ago), licensed MIT. It adds 101 tokens to every session and 1,549 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.

Related

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