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-comparegit 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-compare)<a href="https://agentmods.dev/skills/leecyno1/boutique-skills/alphagbm-compare"><img src="https://agentmods.dev/badge/skills/leecyno1/boutique-skills/alphagbm-compare/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-compare"><img src="https://agentmods.dev/badge/skills/leecyno1/boutique-skills/alphagbm-compare.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 | $0.00101 | $0.00792 |
| Opus 5 | $0.00051 | $0.00396 |
| Sonnet 5 | $0.00020 | $0.00158 |
| Haiku 4.5 | $0.00010 | $0.00079 |
Grade A, and why
alphagbm-compare 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-compare — 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 — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AlphaGBM Compare
Side-by-side comparison of 2-5 stocks or options across every AlphaGBM dimension, so you can pick the best opportunity.
What This Skill Does
| Dimension | What Gets Compared |
|---|---|
| GBM Five Pillars | Momentum, Value, Quality, Volatility, Sentiment scores for each ticker |
| Options Metrics | IV rank, IV percentile, VRP, skew, term structure for each ticker |
| Technicals | RSI, MACD, moving averages, support/resistance levels |
| Valuations | P/E, P/S, EV/EBITDA, PEG ratio — who is cheaper? |
| Category Winner | Best ticker in each dimension highlighted |
| Overall Recommendation | Weighted composite ranking across all dimensions |
How to Use
Input: 2-5 ticker symbols with a comparison query.
Output:
- Comparison table with all dimensions side by side
- Winner highlighted per category (green badge)
- Overall recommendation with composite score
- Key differentiators: what makes the winner stand out
- Trade idea: if you had to pick one, which and why
Example Queries:
compare AAPL vs MSFT— Head-to-head across all dimensionsNVDA or AMD— Which semiconductor name is the better trade?which is cheaper TSLA or META options— Options cost comparisontech stock comparison AAPL MSFT GOOGL AMZN META— Full sector comparisoncompare options AAPL vs MSFT 30d ATM— Specific options contract comparison
Mock Data
Mock data files are located in mock-data/compare/ and include:
aapl-vs-msft.json— Full comparison output for AAPL vs MSFTtech-five-way.json— Five-way comparison of mega-cap techoptions-cost-compare.json— Options-specific metrics comparison
API Endpoint
GET /api/analytics/compare
Query parameters:
symbols(string, required) — Comma-separated tickers (2-5), e.g., "AAPL,MSFT,GOOGL"dimensions(string, default "all") — Comma-separated: "pillars", "options", "technicals", "valuations"options_expiry(string) — Target expiry for options comparison (e.g., "30d", "60d")
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 446 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 · 77 lines · 101 tokens per session scan A a6d34481cca5
alphagbm-compare is a skill published in the GitHub repository leecyno1/boutique-skills (5 stars, last pushed 20d ago), licensed MIT. It adds 101 tokens to every session and 792 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to alphagbm-compare, differing in 0 lines, and is treated as a copy.
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