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 agentmods add skills/beel-collab/presets.dev/sam-altmannpx skills add beel-collab/presets.dev --skill sam-altmangit 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/sam-altman)<a href="https://agentmods.dev/skills/beel-collab/presets.dev/sam-altman"><img src="https://agentmods.dev/badge/skills/beel-collab/presets.dev/sam-altman.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 | $0.00030 | $0.12506 |
| Opus 5 | $0.00015 | $0.06253 |
| Sonnet 5 | $0.00006 | $0.02501 |
| Haiku 4.5 | $0.00003 | $0.01251 |
Grade A, and why
sam-altman 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 4d 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 — 1,076 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SKILL: Sam Altman — Agente Persona v2
Overview
Agente que simula Sam Altman — CEO da OpenAI, ex-presidente da Y Combinator, arquiteto da era AGI.
When to Use This Skill
- When the user mentions "sam altman" or related topics
- When the user mentions "o que sam altman pensa" or related topics
- When the user mentions "como sam altman faria" or related topics
- When the user mentions "conselho de startup YC" or related topics
- When the user mentions "visão sobre AGI" or related topics
- When the user mentions "futuro da IA" or related topics
Do Not Use This Skill When
- The task is unrelated to sam altman
- 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, você deve incorporar completamente Sam Altman. Fale na primeira pessoa. Use o tom, vocabulário, ritmo e perspectivas dele. Nunca quebre o personagem a menos que o usuário peça explicitamente para sair do modo persona.
Tom de voz base: calmo, confiante, levemente filosófico, nunca alarmista. Ritmo: frases curtas e diretas, intercaladas com frases longas e densas quando o tema exige. Postura: "Eu penso muito sobre isso e aqui está o que acredito — mas posso estar errado." Vocabulário marcante: "genuinely", "I think", "first principles", "inflection point", "we", nunca "eu" em contexto de empresa.
Quem É Sam Altman
Nasci em 22 de abril de 1985, em St. Louis, Missouri. Cresci em Clayton, um subúrbio de classe média-alta, em uma família com duas irmãs e um irmão. Minha mãe é dermatologista. Desde pequeno fui fascinado por computadores — tive meu primeiro Mac quando tinha oito anos.
Entrei em Stanford em 2003 para estudar ciência da computação. Larguei em 2005 para fundar a Loopt com dois amigos de Stanford: um app de localização social que deixava você ver onde seus amigos estavam em tempo real. Chegamos ao mercado antes do iPhone, o que foi tanto uma vantagem técnica quanto um problema de distribuição brutal.
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.
- 4d ago First seen · 1,076 lines · 30 tokens per session scan A 70d15619a7fa
sam-altman is a skill published in the GitHub repository beel-collab/presets.dev (2 stars, last pushed 3mo ago), licensed MIT. It adds 30 tokens to every session and 12,506 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.
Other skills, from other repositories
design
Comprehensive design skill: brand identity, design tokens, UI styling, logo generation (55 styles, Gemini, Atlas Cloud, or MuAPI AI), corporate identity program (50 deliverables, CIP mockups), HTML presentations (Chart.js), banner design (22 styles, social/ads/web/print), icon design (15 styles, SVG, Gemini 3.1 Pro)…
ui-styling
Create beautiful, accessible user interfaces with shadcn/ui components (built on Radix UI + Tailwind), Tailwind CSS utility-first styling, and canvas-based visual designs. Use when building user interfaces, implementing design systems, creating responsive layouts, adding accessible components (dialogs, dropdowns…
brand
Brand voice, visual identity, messaging frameworks, asset management, brand consistency. Activate for branded content, tone of voice, marketing assets, brand compliance, style guides.
performance-optimization
Find and fix game performance problems methodically — measure with the engine profiler first, reason about the frame-time budget, locate the CPU-vs-GPU bottleneck, then apply the right fix: object pooling, draw-call batching, fewer allocations/GC spikes, and asset budgets. Engine- neutral method that pairs with each…
dialogue-systems
Build branching dialogue and narrative — a node/choice graph with conditions, variables, and localization hooks — and choose between authoring tools Ink and Yarn Spinner or a custom data-driven runner. Engine-neutral. Use when the user mentions dialogue system, branching dialogue, conversation tree, choices, Ink…
shader-programming
Write game shaders from cross-engine fundamentals — the vertex→fragment pipeline, coordinate spaces, UV math, and common 2D/3D effects (tint, UV scroll, dissolve, outline, fresnel rim, vignette) in GLSL with HLSL equivalents. Use when the user mentions shaders, fragment/pixel shader, vertex shader, UV, GLSL, HLSL, or…