company-tearsheet

Generate source-backed issuer tearsheets with labeled evidence and standardized sections.

488|76|Updated Jun 2, 2026
One-click install
npx skills add https://github.com/openai/role-specific-plugins --skill company-tearsheet
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: company-tearsheet
Source: https://github.com/openai/role-specific-plugins/tree/main/plugins/financial-markets/skills/company-tearsheet
Command: npx skills add https://github.com/openai/role-specific-plugins --skill company-tearsheet

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Issuer profiles and tearsheets require accurate, source-backed facts assembled from diverse documents. This skill provides a ready-to-render baseline that preserves provenance and labels confidence for each fact.

Core Features & Use Cases

  • Source-backed baseline: aggregates filings, earnings, transcripts, and provider data to create a single issuer picture.
  • Evidence labeling: attaches source, period, and confidence to each fact for traceability.
  • Downstream readiness: outputs a Tearsheet artifact suitable for earnings previews, comps, memos, and meeting prep.

Quick Start

Provide issuer context and run the tearsheet assembly to generate a ready artifact.

Frequently Asked Questions about company-tearsheet

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

FAQPage Schema
How do I create a source-backed tearsheet for public equity analysis?

To create a source-backed tearsheet, aggregate issuer filings, earnings, and transcripts into a single profile. The skill validates metadata and structures each fact with source evidence, providing a ready-to-render artifact for downstream analysis.

What is a source-backed issuer tearsheet and why is provenance important?

A source-backed issuer tearsheet is a structured profile of a public equity entity where each fact includes traceable source evidence and confidence labels. Provenance is critical for validating data accuracy during QC and ensuring reliable meeting prep.

Can I use tearsheet artifacts for earnings previews and valuation workflows?

Yes, tearsheet artifacts are designed for earnings previews, comps, valuation, and meeting prep workflows. They provide a factual baseline by aggregating filings and provider data into a standardized format suitable for these downstream tasks.

How does evidence labeling work for issuer profile facts?

Evidence labeling attaches the source, period, and confidence level to each fact within the tearsheet. This mechanism preserves data provenance from diverse documents, ensuring that every piece of issuer metadata is traceable for quality control.

What is the best way to structure metadata for a public equity issuer profile?

The best way to structure issuer metadata is to validate and format it into a standardized tearsheet artifact. This process aggregates diverse provider data and filings while labeling confidence for each fact to ensure downstream readiness.

Do I need external dependencies to generate tearsheets from filings and transcripts?

No external dependencies are required to generate tearsheets from filings and transcripts. The skill internally validates and structures the issuer metadata, attaching source evidence and confidence labels without needing additional components.