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 leecyno1/boutique-skills --skill alphagbm-vol-smilegit clone --depth 1 https://github.com/leecyno1/boutique-skillsWrote 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/leecyno1/boutique-skills/alphagbm-vol-smile)<a href="https://agentmods.dev/skills/leecyno1/boutique-skills/alphagbm-vol-smile"><img src="https://agentmods.dev/badge/skills/leecyno1/boutique-skills/alphagbm-vol-smile/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/leecyno1/boutique-skills/alphagbm-vol-smile"><img src="https://agentmods.dev/badge/skills/leecyno1/boutique-skills/alphagbm-vol-smile.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 | $0.00130 | $0.01338 |
| Opus 5 | $0.00065 | $0.00669 |
| Sonnet 5 | $0.00026 | $0.00268 |
| Haiku 4.5 | $0.00013 | $0.00134 |
Grade A, and why
alphagbm-vol-smile 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.
This is a copy
100% identical to alphagbm-vol-smile — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AlphaGBM Volatility Smile
Prerequisites
- API Key: Set env
ALPHAGBM_API_KEY(formatagbm_xxxx...). - Base URL: Default
https://alphagbm.zeabur.app. Override with envALPHAGBM_BASE_URL.
What This Skill Does
Analyzes the volatility smile (or skew) for a single expiration -- the curve of implied volatility plotted against strike prices. Reveals how the market prices tail risk, directional fear, and supply/demand imbalances across the options chain.
Key Outputs
| Output | What It Shows |
|---|---|
| Smile Curve | IV at each strike for the selected expiry -- the raw smile data |
| 25-Delta Skew | IV(25d put) - IV(25d call) -- the standard measure of directional skew |
| Risk Reversal | Price of 25d call minus 25d put -- a tradeable expression of skew |
| Smile Shape | Classification: normal, flat, reverse, winged, or smirk |
| Skew Percentile | Current skew vs. 252-day history -- is skew unusually steep or flat? |
What Smile Shape Means for Trading
| Shape | Description | Market Implication | Trade Ideas |
|---|---|---|---|
| Normal | OTM puts have higher IV than OTM calls | Standard hedging demand -- puts are expensive | Sell put spreads, buy call spreads |
| Flat | IV roughly equal across strikes | Low fear, balanced positioning | Neutral strategies (iron condors) |
| Reverse | OTM calls have higher IV than OTM puts | Upside speculation or short squeeze risk | Sell call spreads if overpriced |
| Winged | Both OTM puts and calls elevated | Expecting a large move, direction unknown | Sell straddles/strangles if IV is high |
| Smirk | Asymmetric -- one side significantly steeper | Directional fear concentrated on one side | Trade the steep side if skew is extreme |
API Endpoint
Volatility Smile
GET /api/options/tools/vol-smile/<SYMBOL>?expiry=2026-04-17
Query parameters:
- expiry (optional): Expiration date in
YYYY-MM-DDformat. Defaults to nearest monthly expiry if omitted.
What ships with it
17 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 1.0 KB
- mock-data/AAPL.json 6.7 KB
- mock-data/buffett-analysis/example-ko.json 1.9 KB
- mock-data/fear-score/example-calm.json 661 B
- mock-data/fear-score/example-signal-triggered.json 663 B
- mock-data/hedge-advisor/example-gain-protection.json 1.5 KB
- mock-data/marks-cycle/example-neutral.json 366 B
- mock-data/META.json 8.8 KB
- mock-data/NVDA.json 8.4 KB
- mock-data/SPY.json 7.5 KB
- mock-data/take-profit/example-leveraged-etf.json 1.1 KB
- mock-data/tepper-signal/example-armed.json 589 B
- mock-data/tepper-signal/example-cold.json 488 B
- mock-data/TSLA.json 9.4 KB
- mock-data/vix-status/example-extreme-fear.json 528 B
- mock-data/vix-status/example-sweet-spot.json 506 B
- SOURCE.txt 448 B
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 · 113 lines · 130 tokens per session scan A ebd78123753e
alphagbm-vol-smile is a skill published in the GitHub repository leecyno1/boutique-skills (5 stars, last pushed today), licensed MIT. It adds 130 tokens to every session and 1,338 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to alphagbm-vol-smile, differing in 0 lines, and is treated as a copy.
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