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-earnings-crushgit 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-earnings-crush)<a href="https://agentmods.dev/skills/leecyno1/boutique-skills/alphagbm-earnings-crush"><img src="https://agentmods.dev/badge/skills/leecyno1/boutique-skills/alphagbm-earnings-crush/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-earnings-crush"><img src="https://agentmods.dev/badge/skills/leecyno1/boutique-skills/alphagbm-earnings-crush.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 | $0.00119 | $0.01159 |
| Opus 5 | $0.00060 | $0.00580 |
| Sonnet 5 | $0.00024 | $0.00232 |
| Haiku 4.5 | $0.00012 | $0.00116 |
Grade A, and why
alphagbm-earnings-crush 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-earnings-crush — 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 — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AlphaGBM Earnings IV Panel
Everything you need for earnings week — historical IV crush + forward-looking implied move + IV Rank strategy recommendation + a priced Iron Condor centered on the implied move — in a single API call.
What This Skill Does
| Concept | Description |
|---|---|
| IV Crush | The sharp drop in implied volatility after an earnings announcement |
| Average Crush % | Mean IV decline from pre-earnings peak to post-earnings trough (last 8 quarters) |
| Implied Move ±X% | What options are pricing the earnings move to be, derived from ATM IV × √(DTE/365) |
| IV Rank | Current ATM IV percentile vs 20-day HV over 2y — drives strategy recommendation |
| Strategy Recommendation | IV Rank > 70 → short-IV plays (Iron Condor); < 30 → directional (Long Call/Put); 30-70 → wait |
| Iron Condor Quote | Ready-to-trade 4-leg spread with short strikes at ±1× implied move, concrete credit / max profit / max loss / breakevens |
| Historical comparison | How implied move compared to actual move across past 8 earnings |
How to Use
Input: A ticker with upcoming or past earnings.
Output:
- Days to next earnings (if scheduled)
- Current stock price + ATM IV + IV Rank
- Implied Move ±X% and ±$Y — most quoted number during earnings season
- Recommendation tag (🔥 short IV / wait / directional) with zh/en copy
- Iron Condor pricing — 4 strikes + credit + max profit + max loss + breakeven bounds (Pro tier)
- Last 8 quarters: pre-earnings IV / post-earnings IV / crush % / actual move / straddle PnL
- Avg crush % and straddle win rate
Example Queries:
earnings crush AAPL— Full crush history + next earnings IMimplied move NVDA— What the options are pricing for next earningsiron condor for META— Priced-ready short-premium setupIV rank MSFT earnings— Strategy tag + recommendationshould I short premium before TSLA— Recommendation + IC quotestraddle pnl AMZN last 8 quarters— Historical short-premium win rate
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 453 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 · 92 lines · 119 tokens per session scan A c1fe241827d6
alphagbm-earnings-crush is a skill published in the GitHub repository leecyno1/boutique-skills (5 stars, last pushed today), licensed MIT. It adds 119 tokens to every session and 1,159 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-earnings-crush, differing in 0 lines, and is treated as a copy.
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