doubao-public-company-analysis

Analyze public company fundamentals with source-tagged evidence, cash flow bridges, and conditional valuation frameworks.

2|Updated Aug 9, 2026
One-click install
npx skills add https://github.com/DeepJH/doubao-skill-and-info --skill doubao-public-company-analysis-deepjh
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: doubao-public-company-analysis
Source: https://github.com/DeepJH/doubao-skill-and-info/tree/main/skills/doubao-public-company-analysis
Command: npx skills add https://github.com/DeepJH/doubao-skill-and-info --skill doubao-public-company-analysis-deepjh

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve? It produces auditable fundamental research on a single listed company, enforcing identity verification, per-number source tagging, and evidence-gated conclusions instead of unsourced narrative. ## Core Features & Use Cases - Evidence-Gated Research: Every precise figure carries an inline source tag (first-party filing, financial database, user-provided, derived, or pending verification), and unverifiable claims are downgraded rather than deleted. - Deterministic Financial Tooling: Python scripts build net-profit-to-CFO-to-FCF bridges, route company types to metric packs, validate deliverables against JSON schemas, and lint final reports. - Conditional Valuation: Outputs full, degraded, or blocked valuation modes with tiered tables and assumption cards instead of fabricated point estimates when inputs are missing. - Use Case: Ask for a deep-dive on a listed company such as analyzing its business model, financial quality, peer position, and risks, and receive a structured report with an auditable summary, counterarguments, and falsification signals. ## Quick Start Ask the assistant to analyze a specific listed company by name or ticker, stating your focus areas and the analysis cutoff date.

Frequently Asked Questions about doubao-public-company-analysis

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

FAQPage Schema
How do I analyze a public company's fundamentals with this skill?

Provide the company name or ticker, the exchange, an analysis cutoff date, and your focus areas. The skill verifies the entity's listing status, gathers first-party filings, and delivers a structured report with source-tagged figures, a financial bridge, and a conditional valuation.

What tasks does this company analysis skill not cover?

It does not handle single-event impact analysis, batch stock screening, private market or startup evaluation, or personal wealth planning; those route to sibling skills. It also never gives buy/sell ratings, target prices, or position sizing.

How are numbers and sources handled in the research output?

Every precise figure carries an inline tag indicating whether it comes from a first-party filing, a financial database, the user, a documented calculation, or is pending verification. Figures without adequate sourcing are marked as unverified and excluded from the summary and conclusion sections.

What happens when key financial data is missing?

Instead of assuming values or refusing to answer, the skill rewrites conclusions as tiered tables keyed on the unknown variable, or places estimates in labeled assumption cards. It lists the specific inputs needed to upgrade to precise values.

Does the skill require running its Python scripts?

No. It supports three runtime profiles: full script execution, partial hybrid execution, and an agent-only mode using equivalent inline checks. It never claims scripts ran when they did not, and quick natural-language questions use a fast path without file artifacts.