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-surfacegit 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-surface)<a href="https://agentmods.dev/skills/leecyno1/boutique-skills/alphagbm-vol-surface"><img src="https://agentmods.dev/badge/skills/leecyno1/boutique-skills/alphagbm-vol-surface/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-surface"><img src="https://agentmods.dev/badge/skills/leecyno1/boutique-skills/alphagbm-vol-surface.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 | $0.00122 | $0.01530 |
| Opus 5 | $0.00061 | $0.00765 |
| Sonnet 5 | $0.00024 | $0.00306 |
| Haiku 4.5 | $0.00012 | $0.00153 |
Grade A, and why
alphagbm-vol-surface 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 9d 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-surface — 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 — 146 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AlphaGBM Volatility Surface
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
Builds a 3D volatility surface for any optionable ticker, mapping implied volatility across two dimensions -- strike price (moneyness) and time to expiration. Identifies where options are cheap, expensive, or anomalous relative to the surface.
Key Outputs
| Output | What It Shows |
|---|---|
| Surface Grid | IV at each (strike, expiry) coordinate -- the full 3D map |
| ATM Term Structure | How at-the-money IV changes across expirations (front-month vs. back-month) |
| Skew by Expiry | Put-call IV differential at each expiration -- measures fear/complacency |
| Surface Anomalies | Points where IV deviates significantly from the fitted surface -- potential mispricings |
| Surface Shape | Classification: contango, backwardation, flat, inverted, event-driven |
What the Surface Tells You
- Contango (front IV < back IV): Normal market, no near-term fear
- Backwardation (front IV > back IV): Near-term event expected (earnings, FDA, etc.)
- Steep skew: Market pricing tail risk in puts -- hedging demand is high
- Flat skew: Balanced sentiment -- no strong directional fear
- Anomaly detected: A specific contract is mispriced vs. neighbors -- potential opportunity
Volatility Risk Premium (VRP)
VRP = Implied Vol - Historical Vol
| VRP Level | Seller | Buyer |
|---|---|---|
| very_high (>=15%) | Very favorable | Unfavorable |
| high (5-15%) | Favorable | Slightly unfavorable |
| normal (+/-5%) | Neutral | Neutral |
| low (-15% to -5%) | Unfavorable | Favorable |
| very_low (<-15%) | Very unfavorable | Very favorable |
API Endpoints
Volatility Surface (3D)
GET /api/options/tools/vol-surface/<SYMBOL>
Returns the full 3D volatility surface with moneyness axis, expiry axis, and IV grid.
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 450 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.
- 9d ago First seen · 146 lines · 122 tokens per session scan A 8d8aea94b670
alphagbm-vol-surface is a skill published in the GitHub repository leecyno1/boutique-skills (5 stars, last pushed today), licensed MIT. It adds 122 tokens to every session and 1,530 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-surface, differing in 0 lines, and is treated as a copy.
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