alphagbm-theme-research

alphagbm-theme-research is a skill for Claude Code, Codex from leecyno1/boutique-skills. It costs 134 tokens per session (1,464 once invoked), scanned A, a copy of alphagbm-theme-research, MIT.

A research aid for organising company stock symbols into investment themes, such as artificial-intelligence infrastructure, electric-vehicle suppliers, or biotechnology events. It also creates a summary and a list of news terms to watch for each theme.

In plain words
What is it for?
It is for creating themed baskets, viewing their stocks and latest summaries, adding or removing stock symbols, and monitoring news about a topic.
Why use it?
It replaces separate searches across many stocks with a view organised around a broader idea or market group.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit It is for creating themed baskets, viewing their stocks and latest summaries, adding or removing stock symbols, and monitoring news about a topic.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/leecyno1/boutique-skills/alphagbm-theme-research
Install

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.

Any agent
npx skills add leecyno1/boutique-skills --skill alphagbm-theme-research
Clone the repo
git clone --depth 1 https://github.com/leecyno1/boutique-skills

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for alphagbm-theme-research

README.md
[![agentmods](https://agentmods.dev/badge/skills/leecyno1/boutique-skills/alphagbm-theme-research/github.svg)](https://agentmods.dev/skills/leecyno1/boutique-skills/alphagbm-theme-research)
Your own site
<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.

agentmods 80×15 button for alphagbm-theme-research

Your own site · 80×15
<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>
Per session 134 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,464 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured 11d ago against content hash 723bee586ab4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

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.

Origin

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.

skills/default/alphagbm-theme-research/SKILL.md · 161 lines

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 (format agbm_xxxx…).
  • Base URL: default https://alphagbm.zeabur.app. Override via ALPHAGBM_BASE_URL.
  • Tier limits apply: Free tier is capped on themes — check_profile_limit mirrors the profile limit model. Check limits.max_themes via 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

Read the full file on GitHub · 161 lines

Changes

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.

  1. 11d ago First seen · 161 lines · 134 tokens per session scan A 723bee586ab4

Subscribe to this mod's changes

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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