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-theme-researchgit 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-theme-research)<a href="https://agentmods.dev/skills/leecyno1/boutique-skills/alphagbm-theme-research"><img src="https://agentmods.dev/badge/skills/leecyno1/boutique-skills/alphagbm-theme-research/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-theme-research"><img src="https://agentmods.dev/badge/skills/leecyno1/boutique-skills/alphagbm-theme-research.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 | $0.00134 | $0.01464 |
| Opus 5 | $0.00067 | $0.00732 |
| Sonnet 5 | $0.00027 | $0.00293 |
| Haiku 4.5 | $0.00013 | $0.00146 |
Grade A, and why
alphagbm-theme-research 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-theme-research — 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 — 161 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AlphaGBM Theme Research
Group related tickers into named investment themes with an AI-generated summary and news keyword watchlist. Each theme is a lightweight basket you can track at the concept level.
When to use
- User wants to organize tickers by theme (AI infra, HK dividend, EV supply chain, biotech…)
- User asks to view a specific theme's holdings + latest summary
- User wants to add or remove tickers from a theme
- User wants the system to monitor news around a topic
- User mentions "主题" / "theme" / "basket" / "篮子" / "板块"
Prerequisites
- API Key: env
ALPHAGBM_API_KEY(formatagbm_xxxx…). - Base URL: default
https://alphagbm.zeabur.app. Override viaALPHAGBM_BASE_URL. - Tier limits apply: Free tier is capped on themes —
check_profile_limitmirrors the profile limit model. Checklimits.max_themesvia the dashboard endpoint.
API Endpoints
All endpoints require Authorization: Bearer $ALPHAGBM_API_KEY.
1. List themes
GET /api/research/themes
Response:
{
"success": true,
"themes": [
{
"id": 7,
"theme_name": "AI Infrastructure",
"description": "Picks & shovels for the AI capex cycle",
"tickers": ["NVDA", "AVGO", "MSFT", "ORCL"],
"news_keywords": ["AI capex", "data center", "hyperscaler"],
"theme_summary": "Capex guidance up across 4 hyperscalers...",
"last_updated_at": "2026-04-13T09:00:00Z"
}
]
}
2. Get theme detail (aggregated)
GET /api/research/themes/<THEME_ID>
Returns the theme + aggregated data across its tickers (average price change, top movers, recent news matching keywords). 404 if not found or not owned.
3. Create theme
POST /api/research/themes
Content-Type: application/json
{
"theme_name": "AI Infrastructure",
"description": "Picks & shovels for AI capex",
"tickers": ["NVDA", "AVGO", "MSFT"],
"news_keywords": ["AI capex", "data center"]
}
| Parameter | Type | Required | Description |
|---|---|---|---|
theme_name |
string | yes | Display name, used to dedupe |
description |
string | no | Short blurb |
tickers |
array of string | no | Initial tickers; can be edited later |
news_keywords |
array of string | no | Phrases monitored for news matches |
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.
- 11d ago First seen · 161 lines · 134 tokens per session scan A 723bee586ab4
alphagbm-theme-research is a skill published in the GitHub repository leecyno1/boutique-skills (5 stars, last pushed 20d ago), licensed MIT. It adds 134 tokens to every session and 1,464 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-theme-research, differing in 0 lines, and is treated as a copy.
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