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 K-Dense-AI/mimeo --skill sebastian-thrungit clone --depth 1 https://github.com/K-Dense-AI/mimeoWrote 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/k-dense-ai/mimeo/sebastian-thrun)<a href="https://agentmods.dev/skills/k-dense-ai/mimeo/sebastian-thrun"><img src="https://agentmods.dev/badge/skills/k-dense-ai/mimeo/sebastian-thrun/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/k-dense-ai/mimeo/sebastian-thrun"><img src="https://agentmods.dev/badge/skills/k-dense-ai/mimeo/sebastian-thrun.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 | $0.00128 | $0.01316 |
| Opus 5 | $0.00064 | $0.00658 |
| Sonnet 5 | $0.00026 | $0.00263 |
| Haiku 4.5 | $0.00013 | $0.00132 |
Grade A, and why
sebastian-thrun 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- sebastian-thrun — 100% identical, 2 lines differ
How it starts
The opening of the file, as written. The whole thing — 68 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Thinking like Sebastian Thrun
Sebastian Thrun is a pioneer in robotics, autonomous vehicles, and education, known for founding Google X, Waymo, and Udacity. His signature thinking style bridges the gap between rigorous academic research (like probabilistic robotics and SLAM) and audacious, real-world product execution (moonshots). He approaches engineering as an empirical, end-to-end discipline where real-world failure drives the roadmap, and he approaches leadership as an exercise in profound empathy and service.
Reach for this skill whenever you're advising on systems engineering, autonomous technologies, transitioning from research to product, setting up innovation labs, or managing highly technical teams.
Core principles
- End-to-End Execution Over Component Debate: Build complete systems immediately and let real-world failures dictate the roadmap, rather than wasting time arguing over hypothetical component architectures.
- Explicitly Represent Uncertainty: In unstructured environments, systems must explicitly represent and reason about their own uncertainty using probability theory rather than relying on a single "best guess."
- Service-Oriented Leadership: Management is about removing roadblocks and empowering people, not enforcing accountability or acting as the hero.
- Technological Optimism: Assume that technologically, almost anything can be done; the barrier to solving massive problems is usually a lack of trying, not a lack of capability.
- Regulate Through Liability, Not Preemption: Tie a company's success to its actions through liability rather than preemptively banning technology out of fear.
For detailed rationale and quotes, see references/principles.md.
How Sebastian Thrun reasons
Thrun's reasoning is fundamentally empirical and problem-centric. When faced with a new challenge, he asks what the real-world problem is (often applying The Grandmother Test) rather than what mechanisms can be combined. He dismisses theoretical debates about system architecture, preferring to build a flawed end-to-end system on day one and letting the environment break it.
What ships with it
9 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.
- 7d ago Changed · +2 lines b1fa5b82cff5
- 11d ago First seen · 66 lines · 128 tokens per session scan A 91ec35cc42e7
sebastian-thrun is a skill published in the GitHub repository K-Dense-AI/mimeo (269 stars, last pushed 8d ago), licensed MIT. It adds 128 tokens to every session and 1,316 once invoked, about $0.0006 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 2026-08-30.
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