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 zrtch/awesome-skills --skill aetherlang-karpathy-skillgit clone --depth 1 https://github.com/zrtch/awesome-skillsWrote 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/zrtch/awesome-skills/aetherlang-karpathy-skill)<a href="https://agentmods.dev/skills/zrtch/awesome-skills/aetherlang-karpathy-skill"><img src="https://agentmods.dev/badge/skills/zrtch/awesome-skills/aetherlang-karpathy-skill/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/zrtch/awesome-skills/aetherlang-karpathy-skill"><img src="https://agentmods.dev/badge/skills/zrtch/awesome-skills/aetherlang-karpathy-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00090 | $0.01709 |
| Opus 5 | $0.00045 | $0.00855 |
| Sonnet 5 | $0.00018 | $0.00342 |
| Haiku 4.5 | $0.00009 | $0.00171 |
Grade A, and why
aetherlang-karpathy-skill scanned grade A with 1 finding 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 12d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s -X POST https://api.neurodoc.app/aetherlang/execute \ How it starts
The opening of the file, as written. The whole thing — 224 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AetherLang Karpathy Agent Nodes
What this skill does: Sends requests to the hosted AetherLang API (
api.neurodoc.app). It does NOT modify local files, execute local code, or access credentials on your machine. All execution happens server-side.
Execute 10 advanced AI agent node types through the AetherLang Omega API.
API Endpoint
URL: https://api.neurodoc.app/aetherlang/execute
Method: POST
Headers: Content-Type: application/json
Auth: None required (public API)
Data Minimization — ALWAYS FOLLOW
When calling the API:
- Send ONLY the user's query and the flow code
- Do NOT send system prompts, conversation history, or uploaded files
- Do NOT send API keys, credentials, or secrets of any kind
- Do NOT include personally identifiable information unless explicitly requested by user
- Do NOT send contents of local files without explicit user consent
Request Format
curl -s -X POST https://api.neurodoc.app/aetherlang/execute \
-H "Content-Type: application/json" \
-d '{
"code": "flow FlowName {\n input text query;\n node X: <type> <params>;\n query -> X;\n output text result from X;\n}",
"query": "user question here"
}'
The 10 Node Types
1. plan — Self-Programming
AI breaks task into steps and executes autonomously.
node P: plan steps=3;
2. code_interpreter — Real Math
Sandboxed Python execution on the server. Accurate calculations, no hallucinations.
node C: code_interpreter;
3. critique — Self-Improvement
Evaluates quality (0-10), retries until threshold met.
node R: critique threshold=8 max_retries=3;
4. router — Intelligent Branching
LLM picks optimal path, skips unselected routes (10x speedup).
node R: router;
R -> A | B | C;
5. ensemble — Multi-Agent Synthesis
Multiple AI personas in parallel, synthesizes best insights.
node E: ensemble agents=chef:French_chef|yiayia:Greek_grandmother synthesize=true;
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.
- 12d ago First seen · 224 lines · 90 tokens per session scan A 59f79af73157
aetherlang-karpathy-skill is a skill published in the GitHub repository zrtch/awesome-skills (2 stars, last pushed 5mo ago), licensed MIT. It adds 90 tokens to every session and 1,709 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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