Duan Yongping Long-termism Check for Openclaw

A professional investment evaluation framework focused on identifying companies worthy of a 10-year holding period.

lj22503
v2.0.0
Mar 20, 2026
0
788
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install duan-longterm

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install duan-longterm using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Duan Yongping Long-termism Check?

The Duan Yongping Long-termism Check is a technical analysis framework designed for value investors who aim to identify 'buy and hold' opportunities. By leveraging the power of Openclaw Skills, this tool automates the rigorous 5-point 10-year test, helping users determine if a company possesses the fundamental strength and competitive moat required to thrive over a decade. It focuses on business quality, industry longevity, and management integrity rather than short-term price fluctuations.

This skill is particularly effective for investors seeking to apply compound interest thinking to their portfolios. It guides the AI agent through a series of qualitative and quantitative checkpoints, ensuring that any investment recommendation is backed by a thorough understanding of industry disruption risks and shareholder return mechanisms. Using Openclaw Skills for this process ensures that your investment research remains objective, structured, and focused on long-term value creation.

Duan Yongping Long-termism Check Use Cases

  • Performing a 10-year durability test on public companies
  • Assessing industry-wide disruption risks and technological obsolescence
  • Evaluating the sustainability of competitive moats and market barriers
  • Determining investor psychological readiness for significant market volatility
  • Analyzing historical and projected shareholder returns through dividends and buybacks

How Duan Yongping Long-termism Check Works

  1. The user inputs a specific company and industry for analysis into the AI agent interface.
  2. The skill evaluates the company's growth potential to determine if it will be significantly stronger in 10 years.
  3. It performs a risk assessment on the industry, checking for policy changes or technical disruptions.
  4. The agent simulates a 50% price drop scenario to test if the investor's conviction remains intact.
  5. It analyzes the competitive landscape, looking for increased concentration and high entry barriers.
  6. The skill calculates value growth based on the formula: Long-term Value = Good Company × Good Price × Time.
  7. A final report is generated, confirming if the company passes all 5 criteria for a 10-year hold.

Duan Yongping Long-termism Check Setup

To deploy this investment analysis capability using Openclaw Skills, use the following commands:

# Add the long-termism skill to your agent environment
openclaw skill add duan-yongping-longterm

# Configure your primary research sources
openclaw config set investment_sources "financial_reports, market_data"

# Run a test evaluation
openclaw run duan-yongping-longterm --target "AAPL"

Duan Yongping Long-termism Check Data Schema & Taxonomy

The skill produces a structured Markdown report with the following metadata and evaluation criteria:

Criteria Evaluation Metric Focus Area
10-Year Growth Boolean/Narrative Management capability and competitive advantage
Industry Resilience Risk Level Technological shifts and policy stability
Holding Conviction Psychometric Behavior during 50% market pullbacks
Competitive Moat Structural Analysis Market barriers and brand ecosystem
Shareholder Value Financial Table Dividend history and share repurchase trends

Duan Yongping Long-termism Check Advanced Features

  • Seamless integration with moat-evaluator and future-forecaster skills for enhanced research depth
  • Automated monitoring of shareholder return updates to trigger re-evaluation alerts
  • Scenario-based stress testing for black swan events in specific sectors
  • Multi-agent collaboration support for contrasting 'bull' and 'bear' investment cases
  • Customizable 'Health Formula' weights to align with specific regional market conditions within Openclaw Skills

SKILL.md


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