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alphagbm-report-breakdown

Extract institutional views, ratings, assumptions, and risks from published AlphaGBM research reports.

4.0k|314|Updated Apr 6, 2026
Search Tags:#python#investment analysis#ratings#financial research#research report#alphagbm#report breakdown
One-click install
npx skills add https://github.com/AlphaGBM/skills --skill alphagbm-report-breakdown-alphagbm
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: alphagbm-report-breakdown
Source: https://github.com/AlphaGBM/skills/tree/main/skills/core/alphagbm-report-breakdown
Command: npx skills add https://github.com/AlphaGBM/skills --skill alphagbm-report-breakdown-alphagbm

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve? Reading full research reports to find the thesis, original ratings, key assumptions, and risks is slow and error-prone. This Skill breaks down a published AlphaGBM report into structured, attributed sections with sources, dates, and verification checkpoints. ## Core Features & Use Cases - Structured Report Breakdown: Extracts institutional views, original ratings, key assumptions, risks, and next verification nodes from a published report identified by slug and revision. - Safe Public Reads: Uses a bundled Python 3.9+ runner that reads published catalogue data without an API key or analysis charge, validates workflow type and revision, and fails closed instead of fabricating results. - Use Case: Ask your AI to break down a published NVDA research report; it discovers the report via the public catalogue, verifies the workflow and revision, then returns attributed views, ratings with currency and dates, assumptions, and risks. ## Quick Start Use AlphaGBM to break down a published report, showing institutional views, original ratings, key assumptions, risks, and checkpoints.

Frequently Asked Questions about alphagbm-report-breakdown

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I break down a research report with AlphaGBM?▼

Discover a report with research --collection research or research --collection news --view research, then run the bundled runner with report --slug <slug> --revision <revision> --lang en. The runner returns attributed views, ratings, assumptions, and risks as JSON.

Does the report breakdown require an API key or paid credits?▼

No. Reading published reports is a public read that sends no API key and triggers no analysis charge. Paid stock or options analysis workflows keep their own separate confirmation and allowance requirements.

What Python version does the AlphaGBM runner need?▼

Python 3.9 or newer is the only runtime dependency. The runner is self-contained in the installed package, so no separate AlphaGBM CLI installation is required.

Why does the report command return WORKFLOW_MISMATCH?▼

WORKFLOW_MISMATCH (422) means the selected public article has the wrong type for the report reader, such as a news-only article. Check the returned workflow hint and use the news command only if it matches your intended task.

What happens if the report revision changes after I select it?▼

The runner returns REVISION_CHANGED (409) with the current revision. You must re-read the public article and confirm the new evidence before continuing; the revision pin is never silently removed.

Can this Skill access private institutional report PDFs?▼

No. Institutional summaries return only the published summary, not private PDFs, and the Skill does not download originals or bypass paywalls. An unavailable backend response is not permission to fabricate a report.

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