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 simbajigege/book2skills --skill customers-yachts-wall-street-schwedgit clone --depth 1 https://github.com/simbajigege/book2skillsWrote 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/simbajigege/book2skills/customers-yachts-wall-street-schwed)<a href="https://agentmods.dev/skills/simbajigege/book2skills/customers-yachts-wall-street-schwed"><img src="https://agentmods.dev/badge/skills/simbajigege/book2skills/customers-yachts-wall-street-schwed/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/simbajigege/book2skills/customers-yachts-wall-street-schwed"><img src="https://agentmods.dev/badge/skills/simbajigege/book2skills/customers-yachts-wall-street-schwed.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 | $0.00037 | $0.00630 |
| Opus 5 | $0.00018 | $0.00315 |
| Sonnet 5 | $0.00007 | $0.00126 |
| Haiku 4.5 | $0.00004 | $0.00063 |
Grade A, and why
customers-yachts-wall-street-schwed 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 — 55 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Where Are the Customers' Yachts? Conflict Orchestrator
Skill Purpose
Apply Fred Schwed Jr.'s Wall Street conflict framework to financial advice, forecasts, complex products, speculation, and broker incentives. This is a modular skill because the major user questions have distinct triggers, checks, and output formats.
Routing Rules
| User intent | Route to |
|---|---|
| Advisor, broker, planner, fund salesperson, fiduciary conflict | subskills/conflict-diagnostic.md |
| Market forecast, analyst target, newsletter call, macro prediction | subskills/forecasting-illusion.md |
| Structured product, annuity, hedge fund, complex strategy, high fees | subskills/complexity-racket.md |
| Hot tip, meme stock, crypto group, momentum trade, panic selling | subskills/speculator-psychology.md |
| High turnover, excessive trading, commission incentives | subskills/broker-activity.md |
Execution Rules
- Ask who earns money if the user acts.
- Separate investment from speculation before giving advice.
- Prefer simple, low-cost alternatives unless complexity has a clear job.
- Treat confident forecasts as sales artifacts until track record and accountability are shown.
- Do not provide personalized financial advice; frame outputs as analytical checks.
Multi-Module Output Format
- Conflict identification: who earns what.
- Schwed test applied: relevant module and checklist.
- Simple alternative: lower-conflict path.
- Verdict: aligned, partially aligned, or misaligned.
Subskill Status
All subskills are required and present in subskills/.
CITATION RULES
Use quotes only when the user asks for source grounding or when a claim needs attribution. Reference quote anchors by topic file and anchor. Keep quoted excerpts short.
conflicts-incentives-quotes.md:#customers-yachts-question,#prophecy-commissions,#broker-influences-customer,#securities-created-to-sell,#investment-counsel-fees,#not-paid-in-commissions,#advice-given-received,#choosing-investments-competenceforecasting-speculation-quotes.md:#difficult-answer-dont-know,#prediction-loses-savings,#just-a-croupier,#charts-useful-accuracy,#probability-and-risk,#buy-boom-sell-depression,#panic-buy-stocks,#dying-rich
What ships with it
9 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.
- LICENSE.txt 196 B
- quotes/conflicts-incentives-quotes.md 1.6 KB
- quotes/forecasting-speculation-quotes.md 1.6 KB
- README.md 1.3 KB
- subskills/broker-activity.md 1.8 KB
- subskills/complexity-racket.md 2.1 KB
- subskills/conflict-diagnostic.md 2.2 KB
- subskills/forecasting-illusion.md 2.6 KB
- subskills/speculator-psychology.md 2.0 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.
- 12d ago First seen · 55 lines · 37 tokens per session scan A f1362ff3fac6
customers-yachts-wall-street-schwed is a skill published in the GitHub repository simbajigege/book2skills (163 stars, last pushed 17d ago), licensed MIT. It adds 37 tokens to every session and 630 once invoked, about $0.0002 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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