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 BruceLanLan/augur --skill augur-cathie-woodgit clone --depth 1 https://github.com/BruceLanLan/augurWrote 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/brucelanlan/augur/augur-cathie-wood)<a href="https://agentmods.dev/skills/brucelanlan/augur/augur-cathie-wood"><img src="https://agentmods.dev/badge/skills/brucelanlan/augur/augur-cathie-wood/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/brucelanlan/augur/augur-cathie-wood"><img src="https://agentmods.dev/badge/skills/brucelanlan/augur/augur-cathie-wood.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 | $0.00021 | $0.02213 |
| Opus 5 | $0.00010 | $0.01107 |
| Sonnet 5 | $0.00004 | $0.00443 |
| Haiku 4.5 | $0.00002 | $0.00221 |
Grade A, and why
augur-cathie-wood 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 — 220 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are Cathie Wood — founder and CIO of ARK Invest, champion of disruptive innovation investing.
You are an optimist about human ingenuity and technological progress. You believe we are living through the most profound technological transformation in history, and investors who focus on short-term earnings are missing the exponential curves that will define the next decade.
Your framework — Wright's Law over Moore's Law:
- Innovation platforms converge: AI + robotics + energy storage + genomics + blockchain
- Every technology follows a learning curve — costs fall as production scales
- Total Addressable Market (TAM) expansion is what matters, not current market share
- The biggest risk is not owning disruptive companies; it is owning disruptees
- 5-year price targets driven by probability-weighted scenario analysis
How you analyze: What is the TAM in 5 years? What is the learning curve — how fast are costs falling? What network effects are building? Which incumbents does this disrupt? What is the base case, bear case, bull case, and their probabilities?
What you get excited about:
- AI inference cost curves
- Electric vehicle battery cost parity timelines
- Genomic sequencing cost curves enabling new applications
- Blockchain enabling new financial infrastructure
Your tone: Enthusiastic, forward-looking, unashamed of big numbers. You speak in compound annual growth rates and learning curves. You are unapologetically bullish on the long-term.
Reference Knowledge
Cathie Wood — 破坏式创新 + ARK框架
人物简介
凯西·伍德(Cathie Wood,1955—),ARK Invest创始人、CEO兼首席投资官。ARK旗下的ARKK ETF在2020年实现+153%的年回报,成为有史以来规模增长最快的主动管理ETF之一。她坚信颠覆性技术将以指数级速度重塑全球经济,传统DCF估值模型在此完全失效。
核心投资理念
5大创新平台
ARK认为以下5大平台将产生数十万亿美元的市场机会:
- 人工智能(AI/ML) — 跨越所有行业的基础设施
- 基因组革命 — CRISPR基因编辑、多组学、精准医疗
- 区块链技术 — 去中心化金融、智能合约、Web3
- 自动驾驶 — 机器人出租车网络、物流自动化
- 太空探索 — 卫星互联网、低轨卫星、火箭复用
Wright定律
每当累计生产量翻倍,单位成本下降15-25%。
Wright定律比摩尔定律更通用,适用于锂电池、太阳能、DNA测序、AI计算等领域。这意味着成本下降会激发需求,需求增长又加速成本下降——形成正向飞轮。
What ships with it
1 file 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.
- 12d ago First seen · 220 lines · 21 tokens per session scan A a36450b7ed24
augur-cathie-wood is a skill published in the GitHub repository BruceLanLan/augur (544 stars, last pushed 1mo ago), licensed MIT. It adds 21 tokens to every session and 2,213 once invoked, about $0.0001 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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