alphagbm-stock-analysis

alphagbm-stock-analysis is a skill for Claude Code, Codex from leecyno1/boutique-skills. It costs 120 tokens per session (1,608 once invoked), scanned A, a copy of alphagbm-stock-analysis, MIT.

A stock-analysis tool that examines a company using financial results, price movements, market sentiment, trading activity, and valuation.

In plain words
What is it for?
Use it to review a stock ticker, compare investment factors, assess risk, and support buy-or-sell decisions with a composite score and signals.
Why use it?
It gathers several types of market information into one analysis instead of making you assess each area separately.

Skill for Claude CodeCodex

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

Good fit Use it to review a stock ticker, compare investment factors, assess risk, and support buy-or-sell decisions with a composite score and signals.

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Install with agentmods
npx agentmods add skills/leecyno1/boutique-skills/alphagbm-stock-analysis
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-stock-analysis
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-stock-analysis

README.md
[![agentmods](https://agentmods.dev/badge/skills/leecyno1/boutique-skills/alphagbm-stock-analysis/github.svg)](https://agentmods.dev/skills/leecyno1/boutique-skills/alphagbm-stock-analysis)
Your own site
<a href="https://agentmods.dev/skills/leecyno1/boutique-skills/alphagbm-stock-analysis"><img src="https://agentmods.dev/badge/skills/leecyno1/boutique-skills/alphagbm-stock-analysis/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-stock-analysis

Your own site · 80×15
<a href="https://agentmods.dev/skills/leecyno1/boutique-skills/alphagbm-stock-analysis"><img src="https://agentmods.dev/badge/skills/leecyno1/boutique-skills/alphagbm-stock-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 120 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,608 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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 $0.00120 $0.01608
Opus 5 $0.00060 $0.00804
Sonnet 5 $0.00024 $0.00322
Haiku 4.5 $0.00012 $0.00161

Measured 12d ago against content hash a399a97880f0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

alphagbm-stock-analysis scanned grade A with 1 finding 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -H "Authorization: Bearer $ALPHAGBM_API_KEY" \
Origin

This is a copy

100% identical to alphagbm-stock-analysis — 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-stock-analysis/SKILL.md · 190 lines

How it starts

The opening of the file, as written. The whole thing — 190 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AlphaGBM Stock Analysis

Analyze stocks via the AlphaGBM API — a G = B + M (Gain = Basics + Momentum) model combining fundamental analysis, market sentiment, EV expectation, ATR stop-loss, sector rotation, and AI reports.

When to use

  • User asks to analyze a stock ticker (US / HK / A-share)
  • User asks for a stock quote, target price, risk score, or EV recommendation
  • User mentions AlphaGBM or wants a comprehensive stock analysis

Prerequisites

  • API Key: stored in env ALPHAGBM_API_KEY (format agbm_xxxx…).
  • Base URL: default https://alphagbm.zeabur.app. Override with env ALPHAGBM_BASE_URL.
  • If the user has neither, tell them to register at https://alphagbm.com and create a key at /api-keys.

API Endpoints

All endpoints require Authorization: Bearer $ALPHAGBM_API_KEY.

1. Quick Quote (instant, no quota cost)

GET /api/stock/quick-quote/<TICKER>

Returns: price, change%, PE, forward PE, 52-week range, sector, market cap.

Example:

curl -H "Authorization: Bearer $ALPHAGBM_API_KEY" \
  https://alphagbm.zeabur.app/api/stock/quick-quote/AAPL

2. Full Stock Analysis — Synchronous (blocks 10-30s)

POST /api/stock/analyze-sync
Content-Type: application/json

{"ticker": "AAPL", "style": "balanced"}
Parameter Type Required Description
ticker string yes Stock ticker (e.g. AAPL, 0700.HK, 600519.SS)
style string no quality (default), value, growth, momentum, balanced

Add ?compact=true for a condensed agent-friendly response (~500 tokens).

Response contains:

  • data — price, PE, PEG, growth, margin, target_price, stop_loss_price, market_sentiment (0-10), ev_model, sector_analysis, capital_analysis
  • risk — score (0-10), level, suggested_position%, risk flags
  • report — AI-generated narrative report (markdown, ~2000 chars)

3. Full Stock Analysis — Async (for web frontend)

POST /api/stock/analyze-async
Content-Type: application/json

{"ticker": "TSLA", "style": "growth"}

Read the full file on GitHub · 190 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. 12d ago First seen · 190 lines · 120 tokens per session scan A a399a97880f0

Subscribe to this mod's changes

alphagbm-stock-analysis is a skill published in the GitHub repository leecyno1/boutique-skills (5 stars, last pushed today), licensed MIT. It adds 120 tokens to every session and 1,608 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 100% identical to alphagbm-stock-analysis, differing in 0 lines, and is treated as a copy.

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