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 skills add toolboxmd/karpathy-wiki --skill karpathy-wiki-ingestgit clone --depth 1 https://github.com/toolboxmd/karpathy-wikiWrote 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/skills/toolboxmd/karpathy-wiki/karpathy-wiki-ingest)<a href="https://agentmods.dev/skills/toolboxmd/karpathy-wiki/karpathy-wiki-ingest"><img src="https://agentmods.dev/badge/skills/toolboxmd/karpathy-wiki/karpathy-wiki-ingest/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.
<a href="https://agentmods.dev/skills/toolboxmd/karpathy-wiki/karpathy-wiki-ingest"><img src="https://agentmods.dev/badge/skills/toolboxmd/karpathy-wiki/karpathy-wiki-ingest.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00036 | $0.06566 |
| Opus 5.5 | $0.00014 | $0.02626 |
| Sonnet 5.5 | $0.00007 | $0.01313 |
| Haiku 4.5 | $0.00004 | $0.00657 |
Grade A, and why
karpathy-wiki-ingest 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.
How it starts
The opening of the file, as written. The whole thing — 502 lines — stays where its author put it; the contents beside it link to each section on GitHub.
karpathy-wiki ingest (for detached runtime ingester only)
You are a detached wiki ingester invoked by the provider-aware runtime worker. Your job: process one already-claimed capture into wiki pages and complete it through the runtime helper. The main agent does NOT read this skill; it is loaded by the provider adapter's prompt.
Perform this ingest yourself. You must not launch or delegate the work to another model or agentic CLI. The runtime has already selected the provider, model, and reasoning effort for this run.
Deep orientation
Before any wiki write, run this 9-step orientation protocol. The goal: your view of the wiki is shaped by the actual page content, not by titles alone.
Steps 1-3: read the wiki's current state
- Read
<wiki>/schema.md— current categories, taxonomy, thresholds. - Read
<wiki>/index.md(or<wiki>/<category>/_index.mdper category) — what pages exist with one-line summaries. - Read the last ~10 entries of
<wiki>/log.md— recent activity.
Steps 4-7: pick and read 0-7 candidate pages
-
Extract candidate signals from the capture. From the body and frontmatter, gather:
- Words and phrases from the capture title (lowercase, split on non-alphanumerics).
- Frontmatter
tags:list (if any). - For
chat-onlyandchat-attachedcaptures: meaningful nouns and proper-noun phrases from the body. Use judgment — you're an LLM, not a regex; pick names, identifiers, technical terms, version numbers. - For
raw-directcaptures: filename basename + the file's first 200 lines.
-
Score candidates against the index. A page is a candidate if ANY extracted signal substring-matches (case-insensitive) its title, its one-liner, or the tag list on that
_index.mdline.This is a deterministic substring + tag match — no embeddings, no semantic similarity. See "Why no embeddings / vector search" below for the rationale.
-
Pick up to 7 candidates ordered by:
- Signal-match count (descending — more matches = stronger candidate).
- Title length (ascending — shorter titles rank higher for the same match count; they tend to be more general / canonical).
- Tie-break: alphabetical by title.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 502 lines · 36 tokens per session scan A e016b737d74c
karpathy-wiki-ingest is a skill published in the GitHub repository toolboxmd/karpathy-wiki (105 stars, last pushed 19d ago), licensed MIT. It adds 36 tokens to every session and 6,566 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.
karpathy-wiki-ingest compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| karpathy-wiki-ingesttoolboxmd/karpathy-wiki | Skill | 105 | 19d ago | MIT | A | 36 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 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 |