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/mimeographs --skill mark-zuckerberggit clone --depth 1 https://github.com/K-Dense-AI/mimeographsWrote 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/mimeographs/mark-zuckerberg)<a href="https://agentmods.dev/skills/k-dense-ai/mimeographs/mark-zuckerberg"><img src="https://agentmods.dev/badge/skills/k-dense-ai/mimeographs/mark-zuckerberg/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/mimeographs/mark-zuckerberg"><img src="https://agentmods.dev/badge/skills/k-dense-ai/mimeographs/mark-zuckerberg.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 | $0.00120 | $0.01057 |
| Opus 5 | $0.00060 | $0.00528 |
| Sonnet 5 | $0.00024 | $0.00211 |
| Haiku 4.5 | $0.00012 | $0.00106 |
Grade A, and why
mark-zuckerberg 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 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.
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 — 57 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Thinking like Mark Zuckerberg
Mark Zuckerberg's thinking is characterized by a relentless focus on long-term utility, rapid iteration, and massive scale. He views technology not as an end in itself, but as infrastructure for human connection and community building. His strategic approach often involves making massive, multi-year bets on future platforms (like the Metaverse or open-source AI) while relying on a highly decentralized, hacker-driven culture to figure out the immediate steps to get there.
Reach for this skill whenever you're advising on product-market fit at scale, navigating the trade-offs of open vs. closed systems, designing company culture and values, or managing an organization through intense public scrutiny.
Core principles
- Ideas Don't Come Out Fully Formed: Action brings clarity; waiting until you understand everything about a complex problem guarantees you will never start.
- Make Money to Build Better Services: The business engine exists to support the social mission and long-term investments, not the other way around.
- Values Must Be Debatable: Generic statements like "be honest" are useless; values must represent a specific cultural operating choice that someone could legitimately disagree with.
- The Alternate Universe Hiring Test: Only hire someone if you would be happy working for them in an alternate universe where the roles were reversed.
- Platforms Should Not Be Arbiters of Truth: Social media companies exist to give people a voice; deciding what is true and false for billions of people destroys public trust.
For detailed rationale and quotes, see references/principles.md.
How Mark Zuckerberg reasons
Zuckerberg reasons by looking at the longest possible time horizon and working backward to the immediate prototype. He prioritizes utility over "coolness" and believes that solving physical world problems is often best done by improving digital infrastructure (Bits vs. Atoms). When evaluating products, he focuses on "Time Well Spent vs. Time Spent," prioritizing meaningful interactions over passive consumption, even if it hurts short-term metrics.
What ships with it
60 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.
- _workspace/agents_output.e584bd6c.json 8.9 KB
- _workspace/clustered_corpus.e584bd6c.json 26 KB
- _workspace/discovery/books.json 9.0 KB
- _workspace/discovery/essays.json 10 KB
- _workspace/discovery/frameworks.json 9.8 KB
- _workspace/discovery/interviews.json 12 KB
- _workspace/discovery/letters.json 11 KB
- _workspace/discovery/papers.json 8.7 KB
- _workspace/discovery/podcasts.json 11 KB
- _workspace/discovery/ranked_sources.e584bd6c.json 30 KB
- _workspace/discovery/talks.json 9.3 KB
- _workspace/distilled/src_001.e584bd6c.json 5.0 KB
- _workspace/distilled/src_014.e584bd6c.json 515 B
- _workspace/distilled/src_016.e584bd6c.json 5.9 KB
- _workspace/distilled/src_017.e584bd6c.json 6.1 KB
- _workspace/distilled/src_020.e584bd6c.json 6.6 KB
- _workspace/distilled/src_021.e584bd6c.json 7.6 KB
- _workspace/distilled/src_023.e584bd6c.json 6.9 KB
- _workspace/distilled/src_024.e584bd6c.json 6.5 KB
- _workspace/distilled/src_025.e584bd6c.json 7.5 KB
- _workspace/distilled/src_026.e584bd6c.json 6.8 KB
- _workspace/distilled/src_027.e584bd6c.json 7.0 KB
- _workspace/distilled/src_028.e584bd6c.json 6.7 KB
- _workspace/distilled/src_029.e584bd6c.json 457 B
- _workspace/distilled/src_033.e584bd6c.json 6.8 KB
- _workspace/distilled/src_039.e584bd6c.json 493 B
- _workspace/distilled/src_041.e584bd6c.json 2.8 KB
- _workspace/distilled/src_043.e584bd6c.json 2.1 KB
- _workspace/distilled/src_044.e584bd6c.json 3.2 KB
- _workspace/distilled/src_057.e584bd6c.json 5.3 KB
- _workspace/distilled/src_059.e584bd6c.json 551 B
- _workspace/distilled/src_060.e584bd6c.json 7.2 KB
- _workspace/distilled/src_062.e584bd6c.json 5.2 KB
- _workspace/distilled/src_063.e584bd6c.json 986 B
- _workspace/distilled/src_064.e584bd6c.json 420 B
- _workspace/distilled/src_065.e584bd6c.json 5.2 KB
- _workspace/raw/src_001.json 29 KB
- _workspace/raw/src_014.json 8.3 KB
- _workspace/raw/src_016.json 22 KB
- _workspace/raw/src_017.json 28 KB
- _workspace/raw/src_020.json 50 KB
- _workspace/raw/src_021.json 51 KB
- _workspace/raw/src_023.json 50 KB
- _workspace/raw/src_024.json 174 KB
- _workspace/raw/src_025.json 50 KB
- _workspace/raw/src_026.json 71 KB
- _workspace/raw/src_027.json 29 KB
- _workspace/raw/src_028.json 50 KB
- _workspace/raw/src_029.json 15 KB
- _workspace/raw/src_033.json 50 KB
- _workspace/raw/src_039.json 22 KB
- _workspace/raw/src_041.json 6.5 KB
- _workspace/raw/src_043.json 26 KB
- _workspace/raw/src_044.json 5.0 KB
- _workspace/raw/src_057.json 49 KB
- _workspace/raw/src_059.json 2.8 KB
- _workspace/raw/src_060.json 16 KB
- _workspace/raw/src_062.json 13 KB
- _workspace/raw/src_063.json 6.1 KB
- _workspace/raw/src_064.json 464 B
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 · 57 lines · 120 tokens per session scan A b9cf84686559
mark-zuckerberg is a skill published in the GitHub repository K-Dense-AI/mimeographs (123 stars, last pushed 24d ago), licensed MIT. It adds 120 tokens to every session and 1,057 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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