Skills

Alphagbm Stock Research

Connect fundamentals, sentiment and risk to supporting and opposing evidence.

Install

npx skills add AlphaGBM/skills --skill alphagbm-stock-research -g -a claude-code -y
Repository
AlphaGBM/skills2.8k
Category
Engineering
Updated
29d ago
License
MIT
Context cost
Lightabout 654 tokens
Runs scripts
Yes, review before use

What it does

Connect fundamentals, sentiment and risk to supporting and opposing evidence. Use when the user asks to stock opportunities with AlphaGBM. Use the bundled Python runner; never silently replace real results with demos.

Stock Opportunities

Connect fundamentals, sentiment and risk to supporting and opposing evidence.

Release preview: the matching backend has not been verified in production. Do not claim this structured workflow is live; unsupported servers must fail closed. Retained legacy runner commands remain compatible.

Before running

Read access and evidence rules. Python 3.9+ is the only runtime dependency; no separate CLI or sibling Skill installation is required. Resolve <skill-dir> to the directory containing this file.

Identify the ticker and market suffix, and agree the research style. One explicit user-authorized research request is the starting point. Use only returned fundamentals, report and risk fields; no invented peer comparisons. The legacy risk.score is not the homepage opportunity score. For the stock-opportunities.v1 rollout, add --workflow --lang zh (or en). The runner first checks the public workflow contract without a key; unsupported servers receive no analysis request. Preserve partial status, resultId, scoring version and missingData. Do not retry a charged request automatically or claim the result was saved to user history. This opt-in format needs the matching backend deployment; the default legacy command remains available.

Run

python3 "<skill-dir>/scripts/run.py" stock NVDA --style quality --confirm-usage --workflow --lang en

This example contains --confirm-usage. Use that flag only after the user has approved allowance consumption. Require ALPHAGBM_API_KEY in the environment, never in a prompt.

Deliver the result

Read the whole SKILL.md on GitHub

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