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alphagbm-research-reader

Retrieve published research reports, institutional views, and news impact evidence via a Python runner.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve? Finding trustworthy published research, institutional ratings, and news impact analysis requires checking sources, dates, and revisions manually. This Skill reads the AlphaGBM public research catalogue through a bundled Python runner, returning attributed, dated evidence without API keys or paid analysis charges. ## Core Features & Use Cases - Research Catalogue Reading: List and read published AlphaGBM research and institutional views with sources, dates, and related assets using collection, view, language, and keyword filters. - News Impact and Report Breakdown: Run staged, revision-pinned news-impact and report-breakdown workflows that separate reported facts from institutional opinions and editorial interpretation. - Local Investment Review: Compare two user-authorized versioned workflow snapshots offline with the bundled review engine, with no network calls or account access. - Use Case: Ask your AI to find recent semiconductor research, distinguish institutional views from disclosed facts, then break down a selected report's thesis, original ratings, and verification points. ## Quick Start Use AlphaGBM to find recent semiconductor research and distinguish institutional views from disclosed facts, checking workflow, language, and revision before any report breakdown.

Frequently Asked Questions about alphagbm-research-reader

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

FAQPage Schema
How do I find institutional research views with AlphaGBM?▼

Run the bundled runner with research --collection news --view research to list institutional views, or research --collection research for AlphaGBM original reports. Add --query for a title or ticker keyword and --lang zh for Chinese, then read a selected article with --slug.

How to break down a research report's thesis and ratings?▼

Use the report command with the published slug and revision returned by the catalogue: report --slug <published-slug> --revision <published-revision> --lang en. It returns the thesis, original institutional ratings, assumptions, risks, and verification points from public evidence only.

Does reading research reports require an API key or payment?▼

No. Public catalogue reads, news impact, and report breakdowns send no API key and trigger no analysis charge. Only separate stock, options, or validation workflows require authentication and explicit --confirm-usage approval against account allowance.

Can I compare two previous research results offline?▼

Yes. The review command compares two user-authorized versioned workflow JSON snapshots locally using the bundled review engine, with no network calls. Both files must share the same workflow, asset identity, and input language, and stay under 2 MB each.

What happens when a report revision changes or workflow mismatches?▼

The runner returns typed errors such as REVISION_CHANGED or WORKFLOW_MISMATCH instead of retrying or switching tasks silently. You must re-read the current publication or select the indicated news or report command matching the intended task.

What are the limitations of the news impact analysis?▼

News impact reads only existing public articles and requires the news-impact.v1 backend; it does not verify news truth or causal price impact. It never unlocks paid reports, private archives, or subscription analysis, and unsupported servers report unavailable rather than fabricating results.

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