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risk-scoring Skill

AI Agent SkillPythonOpen source

Score how concentrated and risky a portfolio is on a 0-100 scale from its position weights. Use when the user asks how risky their portfolio is, whether it is too concentrated, or for a diversification check. Published by microsoft in agent-framework.

What is risk-scoring Skill?

Score how concentrated and risky a portfolio is on a 0-100 scale from its position weights. Use when the user asks how risky their portfolio is, whether it is too concentrated, or for a diversification check. 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 risk-scoring Skill

  • Use it for developers using agent-framework.

Built with

PythonCopy skill directory

Editorial notes

Source

  • Creator: microsoft
  • Repository: microsoft/agent-framework
  • Skill file: python/samples/02-agents/harness/build_your_own_claw/skills/risk-scoring/SKILL.md

What it does

Score how concentrated and risky a portfolio is on a 0-100 scale from its position weights. Use when the user asks how risky their portfolio is, whether it is too concentrated, or for a diversification check.

Skill instructions

Usage When the user asks about portfolio risk or concentration: 1. Read references/risk-bands.md to understand the score bands and what drives them. 2. Compute each holding's market value (shares × price) — use the getstockprice tool for current prices if you do not already have them. 3. Run scripts/riskscore.py with one --position VALUE argument per holding, e.g. --position 18518 --position 17201 --position 16177. 4. Report the 0-100 score, the band it falls in, and the largest single-position weight, then suggest (in general terms) whether the portfolio looks well diversified or concentrated. Remind the user this is a crude concentration measure, not a complete risk model, and not advice.

Explore related resources

Frequently asked questions

What is risk-scoring?

risk-scoring is a open-source AI agent skill with Copy skill directory. Score how concentrated and risky a portfolio is on a 0-100 scale from its position weights. Use when the user asks how risky their portfolio is, whether it is too concentrated, or for a diversification check.

Who is risk-scoring best for?

risk-scoring is best for reusing agent instructions, scripts, and references.

How do I install risk-scoring?

Install or run risk-scoring using Copy skill directory. Check risk-scoring for the latest setup command.

Is risk-scoring actively maintained?

risk-scoring 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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