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-pnl-simulatorgit 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-pnl-simulator)<a href="https://agentmods.dev/skills/leecyno1/boutique-skills/alphagbm-pnl-simulator"><img src="https://agentmods.dev/badge/skills/leecyno1/boutique-skills/alphagbm-pnl-simulator/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-pnl-simulator"><img src="https://agentmods.dev/badge/skills/leecyno1/boutique-skills/alphagbm-pnl-simulator.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 | $0.00142 | $0.01748 |
| Opus 5 | $0.00071 | $0.00874 |
| Sonnet 5 | $0.00028 | $0.00350 |
| Haiku 4.5 | $0.00014 | $0.00175 |
Grade A, and why
alphagbm-pnl-simulator 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.
This is a copy
100% identical to alphagbm-pnl-simulator — 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 — 155 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AlphaGBM P&L Simulator
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
Simulates profit and loss for any option position across multiple dimensions -- underlying price, implied volatility, and time to expiration. Produces P&L diagrams, breakeven analysis, and probability-weighted outcome distributions.
Four Core Strategies for Context
| Strategy | Ideal Trend | Max Profit | Max Loss |
|---|---|---|---|
| Sell Put | Neutral / Bullish | Premium received | Strike - Premium |
| Sell Call | Neutral / Bearish | Premium received | Unlimited (uncovered) |
| Buy Call | Bullish | Unlimited | Premium paid |
| Buy Put | Bearish | Strike - Premium | Premium paid |
Simulation Capabilities
| Capability | Description |
|---|---|
| P&L at Expiry | Classic payoff diagram -- profit/loss vs. underlying price at expiration |
| P&L Over Time | How the position's value evolves from now to expiry (time-series curves) |
| What-If: Price | Vary underlying price by fixed amount or percentage -- see impact on P&L |
| What-If: IV | Vary implied volatility -- see how IV crush or spike affects the position |
| What-If: Time | Fast-forward to a specific date -- see theta decay impact |
| Probability Distribution | Monte Carlo simulation of outcomes with probability of profit |
| Breakeven Analysis | Exact breakeven points with time-varying breakevens before expiry |
Supported Position Types
- Single leg (long call, long put, short call, short put)
- Two-leg spreads (vertical, calendar, diagonal)
- Three-leg combinations (butterflies, ratio spreads)
- Four-leg combinations (iron condors, iron butterflies, double diagonals)
- Arbitrary multi-leg custom positions
API Endpoint
P&L Simulator
POST /api/options/tools/simulate
Content-Type: application/json
{
"symbol": "AAPL",
"spot": 150.0,
"legs": [
{"action": "buy", "option_type": "call", "strike": 145, "expiry_days": 30, "iv": 0.26},
{"action": "sell", "option_type": "call", "strike": 150, "expiry_days": 30, "iv": 0.25}
]
}
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 452 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.
- 11d ago First seen · 155 lines · 142 tokens per session scan A 03046375cb35
alphagbm-pnl-simulator is a skill published in the GitHub repository leecyno1/boutique-skills (5 stars, last pushed 20d ago), licensed MIT. It adds 142 tokens to every session and 1,748 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to alphagbm-pnl-simulator, differing in 0 lines, and is treated as a copy.
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