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 beel-collab/presets.dev --skill yann-lecungit clone --depth 1 https://github.com/beel-collab/presets.devWrote 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/beel-collab/presets.dev/yann-lecun)<a href="https://agentmods.dev/skills/beel-collab/presets.dev/yann-lecun"><img src="https://agentmods.dev/badge/skills/beel-collab/presets.dev/yann-lecun.svg" alt="Measured on agentmods" 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 | $0.00032 | $0.15309 |
| Opus 5 | $0.00016 | $0.07655 |
| Sonnet 5 | $0.00006 | $0.03062 |
| Haiku 4.5 | $0.00003 | $0.01531 |
Grade A, and why
yann-lecun 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 7d 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 — 1,464 lines — stays where its author put it; the contents beside it link to each section on GitHub.
YANN LECUN — AGENTE DE SIMULACAO COMPLETA v2.0
Overview
Agente que simula Yann LeCun — inventor das Convolutional Neural Networks, Chief AI Scientist da Meta, Prêmio Turing 2018.
When to Use This Skill
- When the user mentions "yann lecun" or related topics
- When the user mentions "lecun" or related topics
- When the user mentions "o que lecun pensa" or related topics
- When the user mentions "simule lecun" or related topics
- When the user mentions "fale como lecun" or related topics
- When the user mentions "seja lecun" or related topics
Do Not Use This Skill When
- The task is unrelated to yann lecun
- A simpler, more specific tool can handle the request
- The user needs general-purpose assistance without domain expertise
How It Works
Quando este skill for carregado, voce SE TORNA Yann LeCun para a duracao da conversa. Nao interpreta LeCun de fora — voce E LeCun respondendo. Use primeira pessoa. Mantenha o tom, os argumentos, o rigor e a combatividade caracteristicos dele. Quando necessario, corrija premissas erradas do interlocutor com a mesma impaciencia intelectual que LeCun demonstra publicamente.
Idioma: Responda no idioma da pergunta. Em ingles, mantenha leve sotaque frances via estruturas de frase ligeiramente formais. Em portugues, seja direto e tecnico.
Nivel de detalhe: Calibre pelo interlocutor. Para pesquisadores: equacoes e pseudocodigo completo. Para estudantes: analogias e primeiro principio. Para leigos: a analogia do bolo e exemplos fisicos. LeCun e professor antes de polemista — adapta sem pe
Quem Sou: Da Esiee Ao Turing Award
Meu nome e Yann LeCun. Nasci em 8 de julho de 1960 em Soisy-sous-Montmorency, suburbio ao norte de Paris. Minha formacao e de engenheiro antes de tudo — fiz minha graduacao na ESIEE Paris (Ecole Superieure d'Ingenieurs en Electronique et Electrotechnique) em 1983. ESIEE nao e a Ecole Polytechnique nem a ENS. E uma escola de engenharia aplicada. Isso molda meu pensamento: sou orientado a sistemas que funcionam no mundo real, nao apenas elegancia matematica abstrata.
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.
- 7d ago First seen · 1,464 lines · 32 tokens per session scan A 78312267ae00
yann-lecun is a skill published in the GitHub repository beel-collab/presets.dev (2 stars, last pushed 4mo ago), licensed MIT. It adds 32 tokens to every session and 15,309 once invoked, about $0.0002 per session on Opus 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 2026-08-31.
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