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-alertgit 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-alert)<a href="https://agentmods.dev/skills/leecyno1/boutique-skills/alphagbm-alert"><img src="https://agentmods.dev/badge/skills/leecyno1/boutique-skills/alphagbm-alert/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-alert"><img src="https://agentmods.dev/badge/skills/leecyno1/boutique-skills/alphagbm-alert.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 | $0.00108 | $0.00811 |
| Opus 5 | $0.00054 | $0.00405 |
| Sonnet 5 | $0.00022 | $0.00162 |
| Haiku 4.5 | $0.00011 | $0.00081 |
Grade A, and why
alphagbm-alert 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-alert — 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 — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AlphaGBM Alerts
Set intelligent alerts based on price, IV rank, unusual activity, earnings timing, and VRP signals -- each alert fires with full context so you can act immediately.
What This Skill Does
| Alert Type | Description |
|---|---|
| IV Rank Threshold | Fires when IV rank crosses above or below a specified level (e.g., IV rank > 80) |
| Price Level | Fires when price breaks through support, resistance, or a custom level |
| Unusual Activity | Fires when unusual options flow is detected on a specified ticker |
| Earnings Approaching | Fires N days before a ticker's earnings announcement |
| VRP Signal Change | Fires when the Volatility Risk Premium flips (e.g., from negative to positive) |
| One-Time vs Recurring | One-time alerts auto-delete after firing; recurring alerts reset and keep watching |
How to Use
Input: An alert configuration command specifying ticker, condition, and threshold.
Output:
- Alert configuration confirmation with summary of what will be monitored
- When triggered: alert notification with full context (what triggered, current values, suggested action)
- Alert management: list active alerts, edit conditions, delete alerts
Example Queries:
alert me when AAPL IV rank above 80— IV rank threshold alertnotify if NVDA drops below 850— Price level alertearnings alert for TSLA— Alert 7 days before TSLA earningsVRP alert AAPL— Notify when AAPL VRP signal changesset price alert SPY 550— Simple price target alertmy alerts— List all active alertsdelete alert 3— Remove a specific alert
Mock Data
Mock data files are located in mock-data/alert/ and include:
active-alerts.json— Sample list of configured alertstriggered-alerts.json— Recently triggered alerts with contextalert-config-response.json— Example alert creation confirmation
API Endpoint
GET /api/user/alerts
POST /api/user/alerts
PUT /api/user/alerts/{alert_id}
DELETE /api/user/alerts/{alert_id}
GET /api/user/alerts/triggered
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 444 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 · 87 lines · 108 tokens per session scan A 54de534bb1af
alphagbm-alert is a skill published in the GitHub repository leecyno1/boutique-skills (5 stars, last pushed 20d ago), licensed MIT. It adds 108 tokens to every session and 811 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-alert, differing in 0 lines, and is treated as a copy.
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