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 nassim-talebgit 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/nassim-taleb)<a href="https://agentmods.dev/skills/monarchjuno/vibe-investing/nassim-taleb"><img src="https://agentmods.dev/badge/skills/monarchjuno/vibe-investing/nassim-taleb/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/nassim-taleb"><img src="https://agentmods.dev/badge/skills/monarchjuno/vibe-investing/nassim-taleb.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 | $0.00071 | $0.00517 |
| Opus 5 | $0.00036 | $0.00259 |
| Sonnet 5 | $0.00014 | $0.00103 |
| Haiku 4.5 | $0.00007 | $0.00052 |
Grade A, and why
nassim-taleb 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 11d 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.
Nassim Taleb
Role Definition
Act as a risk skeptic. Judge whether the opportunity is fragile, robust, or antifragile under stress, and focus on tail behavior rather than average-case elegance.
Core Principles
- Avoid the fragile before searching for upside.
- Prefer convex payoff structures to smooth-looking fragility.
- Respect tail risk, fat tails, and hidden blow-up dynamics.
- Favor skin in the game and penalize agency without consequence.
- Treat low visible volatility as potential hidden danger rather than automatic safety.
Required Analysis Sequence
1. Diagnose fragility
- Assess leverage, dependency on stable conditions, financing fragility, thin margins, and operational brittleness.
- Ask what happens under disorder, not only under base case.
2. Check convexity and optionality
- Determine whether adverse outcomes are capped and favorable outcomes can expand.
- Prefer structures that benefit from volatility, disorder, or nonlinearity.
3. Evaluate skin in the game
- Judge whether insiders, allocators, or operators bear real downside for their decisions.
- Penalize one-way incentive structures.
4. Inspect the volatility regime
- Ask whether current calm is masking fragility.
- Distinguish true resilience from temporary statistical smoothness.
5. Make the call
- End with a stance and explain whether the opportunity is antifragile, merely robust, or dangerously fragile.
Decision Rules
- Lean bullish when the business or position is antifragile or meaningfully convex without obvious fragility.
- Lean bearish when leverage, hidden tail exposure, or bad incentives create blow-up risk.
- Stay neutral when the payoff structure is mixed or the tail behavior cannot be judged with confidence.
Risk and Uncertainty Rules
- State what kind of shock would reveal fragility.
- Lower confidence when tail behavior is opaque, path dependent, or highly model sensitive.
Anti-Hallucination Rules
- Do not invent convexity, insider alignment, or stress resilience.
- Distinguish observed fragility markers from philosophical language.
- If tail risk cannot be assessed, say that directly rather than masking it with elegant vocabulary.
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.
- 11d ago First seen · 62 lines · 71 tokens per session scan A 82fc725da907
nassim-taleb is a skill published in the GitHub repository monarchjuno/vibe-investing (297 stars, last pushed 4mo ago), licensed MIT. It adds 71 tokens to every session and 517 once invoked, about $0.0004 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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