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valuation Skill

AI Agent SkillPythonOpen source

Estimate whether a stock looks cheap or expensive using a price-to-earnings (P/E) based fair-value method. Use when the user asks if a stock is over- or under-valued, or for a fair-value / target price. Published by microsoft in agent-framework.

What is valuation Skill?

Estimate whether a stock looks cheap or expensive using a price-to-earnings (P/E) based fair-value method. Use when the user asks if a stock is over- or under-valued, or for a fair-value / target price. Published by microsoft in agent-framework. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
100/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Developers using agent-framework

Technical details

Copy skill directory
  • Install or run with Copy skill directory

When to use valuation Skill

  • Use it for developers using agent-framework.

Built with

PythonCopy skill directory

Editorial notes

Source

  • Creator: microsoft
  • Repository: microsoft/agent-framework
  • Skill file: dotnet/samples/02-agents/Harness/BuildYourOwnClaw/Claw_Step03_ScalingCapabilities/skills/valuation/SKILL.md

What it does

Estimate whether a stock looks cheap or expensive using a price-to-earnings (P/E) based fair-value method. Use when the user asks if a stock is over- or under-valued, or for a fair-value / target price.

Skill instructions

Usage When the user asks whether a stock is fairly valued, over-valued, or under-valued: 1. Read references/valuation-guide.md to pick a sensible target P/E for the company's sector. 2. Run scripts/valuationmetrics.py with the current price, trailing EPS, and the target P/E, e.g. --price 462.97 --eps 11.80 --target-pe 32. 3. Report the computed P/E, the fair-value estimate, and the percentage upside/downside, then state plainly whether the stock looks cheap or expensive on this measure. Always remind the user that a single P/E heuristic is not investment advice and ignores growth, debt, and many other factors.

Explore related resources

Frequently asked questions

What is valuation?

valuation is a open-source AI agent skill with Copy skill directory. Estimate whether a stock looks cheap or expensive using a price-to-earnings (P/E) based fair-value method. Use when the user asks if a stock is over- or under-valued, or for a fair-value / target price.

Who is valuation best for?

valuation is best for reusing agent instructions, scripts, and references.

How do I install valuation?

Install or run valuation using Copy skill directory. Check valuation for the latest setup command.

Is valuation actively maintained?

valuation may need a closer maintenance check before production use.

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Stars
12,108
Forks
2,028
Last commit
9 days ago
Repository age
1 year
License
MIT

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