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 anne-wojcickigit 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/anne-wojcicki)<a href="https://agentmods.dev/skills/k-dense-ai/mimeographs/anne-wojcicki"><img src="https://agentmods.dev/badge/skills/k-dense-ai/mimeographs/anne-wojcicki/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/anne-wojcicki"><img src="https://agentmods.dev/badge/skills/k-dense-ai/mimeographs/anne-wojcicki.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 | $0.00122 | $0.01184 |
| Opus 5.5 | $0.00049 | $0.00474 |
| Sonnet 5.5 | $0.00024 | $0.00237 |
| Haiku 4.5 | $0.00012 | $0.00118 |
Grade A, and why
anne-wojcicki 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 2mo 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 — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Thinking like Anne Wojcicki
Anne Wojcicki, co-founder and CEO of 23andMe, approaches systemic disruption by empowering the consumer and treating data as the ultimate currency of truth. Her thinking is defined by a fundamental belief that entrenched, misaligned systems—like the traditional "sick-care" economy—cannot be changed from within. Instead, you must build radical alternatives from the outside, give individuals direct ownership of their data, and collaborate meticulously with regulators to achieve decade-long systemic change.
Reach for this skill whenever you're advising on disrupting heavily regulated industries, building consumer-research flywheels, navigating regulatory roadblocks, or shifting a product from reactive to proactive preventative care.
Core principles
- Consumer Ownership: Individuals have a fundamental right to access, own, and control their own data without institutional gatekeepers.
- Speak with Data: In science and regulated industries, trust is earned through rigorous data and peer-reviewed publications, not verbal arguments or promises.
- Privacy as Choice: True privacy is not about locking data away; it is about providing explicit transparency and the choice to opt-in or opt-out.
- Decade-Long Persistence: Real impact and systemic change require a decade of persistence and a steadfast focus on the long-term vision over short-term metrics.
- Hire for Humility: Prioritize hiring smart people who possess humility and are open to constructive criticism over those who just want to prove their intellect.
For detailed rationale and quotes, see references/principles.md.
How Anne Wojcicki reasons
Wojcicki's reasoning starts by identifying the underlying financial incentives of a system. She asks: Who makes money if I stay healthy? If the answer is "no one," she recognizes the system as a Sick-Care Economy that must be disrupted via an Outside Rebellion. She dismisses paternalism—the idea that consumers can't handle their own complex data—and instead views the user as a capable partner.
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 10 KB
- _workspace/clustered_corpus.e584bd6c.json 24 KB
- _workspace/discovery/books.json 11 KB
- _workspace/discovery/essays.json 9.3 KB
- _workspace/discovery/frameworks.json 9.3 KB
- _workspace/discovery/interviews.json 8.1 KB
- _workspace/discovery/letters.json 9.1 KB
- _workspace/discovery/papers.json 8.2 KB
- _workspace/discovery/podcasts.json 9.9 KB
- _workspace/discovery/ranked_sources.e584bd6c.json 28 KB
- _workspace/discovery/talks.json 6.4 KB
- _workspace/distilled/src_001.e584bd6c.json 7.1 KB
- _workspace/distilled/src_002.e584bd6c.json 4.8 KB
- _workspace/distilled/src_003.e584bd6c.json 3.8 KB
- _workspace/distilled/src_008.e584bd6c.json 515 B
- _workspace/distilled/src_010.e584bd6c.json 6.2 KB
- _workspace/distilled/src_015.e584bd6c.json 5.9 KB
- _workspace/distilled/src_019.e584bd6c.json 5.9 KB
- _workspace/distilled/src_020.e584bd6c.json 6.4 KB
- _workspace/distilled/src_023.e584bd6c.json 385 B
- _workspace/distilled/src_027.e584bd6c.json 5.6 KB
- _workspace/distilled/src_029.e584bd6c.json 6.8 KB
- _workspace/distilled/src_034.e584bd6c.json 7.5 KB
- _workspace/distilled/src_036.e584bd6c.json 4.4 KB
- _workspace/distilled/src_037.e584bd6c.json 1.9 KB
- _workspace/distilled/src_038.e584bd6c.json 5.8 KB
- _workspace/distilled/src_039.e584bd6c.json 1.4 KB
- _workspace/distilled/src_040.e584bd6c.json 3.7 KB
- _workspace/distilled/src_041.e584bd6c.json 5.2 KB
- _workspace/distilled/src_042.e584bd6c.json 775 B
- _workspace/distilled/src_043.e584bd6c.json 6.1 KB
- _workspace/distilled/src_044.e584bd6c.json 5.2 KB
- _workspace/distilled/src_047.e584bd6c.json 6.4 KB
- _workspace/distilled/src_049.e584bd6c.json 971 B
- _workspace/distilled/src_050.e584bd6c.json 2.8 KB
- _workspace/distilled/src_051.e584bd6c.json 1.3 KB
- _workspace/raw/src_001.json 34 KB
- _workspace/raw/src_002.json 27 KB
- _workspace/raw/src_003.json 2.4 KB
- _workspace/raw/src_008.json 6.0 KB
- _workspace/raw/src_010.json 56 KB
- _workspace/raw/src_015.json 16 KB
- _workspace/raw/src_019.json 51 KB
- _workspace/raw/src_020.json 42 KB
- _workspace/raw/src_023.json 50 KB
- _workspace/raw/src_027.json 26 KB
- _workspace/raw/src_029.json 50 KB
- _workspace/raw/src_034.json 31 KB
- _workspace/raw/src_036.json 8.1 KB
- _workspace/raw/src_037.json 1.4 KB
- _workspace/raw/src_038.json 23 KB
- _workspace/raw/src_039.json 2.5 KB
- _workspace/raw/src_040.json 7.5 KB
- _workspace/raw/src_041.json 40 KB
- _workspace/raw/src_042.json 4.4 KB
- _workspace/raw/src_043.json 33 KB
- _workspace/raw/src_044.json 46 KB
- _workspace/raw/src_047.json 50 KB
- _workspace/raw/src_049.json 1.3 KB
- _workspace/raw/src_050.json 4.3 KB
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.
- 2mo ago First seen · 67 lines · 122 tokens per session scan A 9127ddcf706b
anne-wojcicki is a skill published in the GitHub repository K-Dense-AI/mimeographs (139 stars, last pushed 2mo ago), licensed MIT. It adds 122 tokens to every session and 1,184 once invoked, about $0.0005 per session on Opus 5.5. 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.
anne-wojcicki compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| anne-wojcickiK-Dense-AI/mimeographs | Skill | 139 | 2mo ago | MIT | A | 122 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |