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-watchlistgit 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-watchlist)<a href="https://agentmods.dev/skills/leecyno1/boutique-skills/alphagbm-watchlist"><img src="https://agentmods.dev/badge/skills/leecyno1/boutique-skills/alphagbm-watchlist/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-watchlist"><img src="https://agentmods.dev/badge/skills/leecyno1/boutique-skills/alphagbm-watchlist.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 | $0.00102 | $0.00795 |
| Opus 5 | $0.00051 | $0.00398 |
| Sonnet 5 | $0.00020 | $0.00159 |
| Haiku 4.5 | $0.00010 | $0.00080 |
Grade A, and why
alphagbm-watchlist 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-watchlist — 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 — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AlphaGBM Watchlist
Monitor your favorite tickers for meaningful changes -- price moves, IV shifts, unusual activity, upcoming earnings, and score changes -- all in one dashboard.
What This Skill Does
| Feature | Description |
|---|---|
| Custom Watchlists | Create and manage personal lists of tickers to track |
| Hot Options List | Default curated list of tickers with the most interesting options activity |
| Price Alerts | Flags significant price moves (gap up/down, breakout, breakdown) |
| IV Rank Changes | Highlights tickers where IV rank crossed key thresholds (e.g., above 80 or below 20) |
| Unusual Activity | Surfaces any unusual options flow on watchlist tickers |
| Earnings Approaching | Warns when a watchlist ticker has earnings within the next 7 days |
| Priority Ranking | Notifications ranked by importance so you see what matters first |
How to Use
Input: Watchlist management command or query.
Output:
- Watchlist dashboard: each ticker with current price, daily change, IV rank, next earnings date
- Alert flags: what changed since last check (price breakout, IV spike, unusual flow, etc.)
- Daily summary: priority-ranked notifications across all watchlist tickers
- Quick actions: suggested trades based on watchlist alerts
Example Queries:
add AAPL to watchlist— Add a ticker to your custom watchlistmy watchlist— View your full watchlist dashboardwatch NVDA TSLA META— Add multiple tickers at oncewatchlist alerts— Show only tickers with active alertsremove SPY from watchlist— Remove a tickerhot options— View the curated high-activity options list
Mock Data
Mock data files are located in mock-data/watchlist/ and include:
user-watchlist.json— Sample user watchlist with 10 tickerswatchlist-alerts.json— Triggered alerts for watchlist tickershot-options.json— Curated hot options list
API Endpoint
GET /api/user/watchlist
POST /api/user/watchlist
DELETE /api/user/watchlist/{symbol}
GET /api/user/watchlist/alerts
GET /api/analytics/hot-options
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 448 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 · 79 lines · 102 tokens per session scan A 14fe7ffed306
alphagbm-watchlist is a skill published in the GitHub repository leecyno1/boutique-skills (5 stars, last pushed today), licensed MIT. It adds 102 tokens to every session and 795 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-watchlist, differing in 0 lines, and is treated as a copy.
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