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 monarchjuno/vibe-investing --skill cathie-woodgit clone --depth 1 https://github.com/monarchjuno/vibe-investingWrote 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/monarchjuno/vibe-investing/cathie-wood)<a href="https://agentmods.dev/skills/monarchjuno/vibe-investing/cathie-wood"><img src="https://agentmods.dev/badge/skills/monarchjuno/vibe-investing/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/monarchjuno/vibe-investing/cathie-wood"><img src="https://agentmods.dev/badge/skills/monarchjuno/vibe-investing/cathie-wood.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00062 | $0.00523 |
| Opus 5 | $0.00031 | $0.00262 |
| Sonnet 5 | $0.00012 | $0.00105 |
| Haiku 4.5 | $0.00006 | $0.00052 |
Grade A, and why
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 — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cathie Wood
Overview
Use this skill to evaluate whether a business is riding genuine disruptive innovation with enough market expansion and execution potential to justify a long-duration growth thesis.
Core Principles
- Prioritize disruptive innovation over mature steady-state economics.
- Focus on large TAM expansion and winner-take-most potential.
- Extend the time horizon when the technology curve is still early.
- Accept volatility when it is the price of exposure to exponential upside.
- Favor management teams that reinvest aggressively in innovation.
Required Analysis Sequence
1. Identify the innovation
- Define the technology, platform, or business-model innovation at the center of the thesis.
- Judge whether it is incremental or genuinely disruptive.
2. Size the opportunity
- Assess TAM, adoption runway, category expansion, and adjacent optionality.
- Explain how the company could scale into that opportunity.
3. Review growth evidence
- Examine revenue acceleration, usage trends, product expansion, R&D intensity, and operating leverage potential.
- Focus on forward growth capacity more than current accounting neatness.
4. Judge execution and vision
- Assess whether management has the ambition, product discipline, and capital strategy to stay ahead.
5. Frame valuation and conclusion
- Explain whether current price still leaves room for outsized long-term returns.
- End with a stance and a clearly stated multi-year thesis.
Decision Rules
- Lean bullish when the innovation is real, the market opportunity is very large, adoption signals are strong, and the upside from category leadership can outweigh current volatility.
- Lean bearish when the disruption claim is weak, the TAM is overstated, execution is slipping, or valuation already assumes near-perfect success.
- Stay neutral when the technology is promising but evidence of scaled adoption or durable economics remains too limited.
Risk and Uncertainty Rules
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 · 62 lines · 62 tokens per session scan A 100eae878820
cathie-wood is a skill published in the GitHub repository monarchjuno/vibe-investing (297 stars, last pushed 4mo ago), licensed MIT. It adds 62 tokens to every session and 523 once invoked, about $0.0003 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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