finance-skills
Packages AI-ready financial analysis and trading skills with strong community validation (1,165 stars), giving finance and quant teams a head start on buildi…
A collection of agent skills for financial analysis and trading, following the Agent Skills open standard, grouped into installable plugins: market analysis (DCF/SOTP company valuation, earnings previews and recaps, analyst estimates, ETF premium/discount, options payoff, correlation and liquidity analysis via yfinance), read-only social readers (Twitter/X, Discord, LinkedIn, Telegram, Y Combinator), data providers, startup tools, and UI tools. The README states it is for educational purposes only, not financial advice.
Packages AI-ready financial analysis and trading skills with strong community validation (1,165 stars), giving finance and quant teams a head start on building AI-powered analysis tools.
Quantitative analysts, traders, and fintech developers who want pre-built AI skills for financial data analysis and trading strategy work.
https://github.com/himself65/finance-skills
By himself65
How to Get It
npx plugins add himself65/finance-skills # all plugins; or one category: npx plugins add himself65/finance-skills --plugin finance-market-analysis; individual skills: npx skills add himself65/finance-skills
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Trust Signals Reviewed
Community Pulse Active
Discussed on Hacker News, Reddit
- CT to require high school students to learn personal finance skills — Reddit · 1414 pts
- Finance Skills to Learn Before Graduation — Reddit · 51 pts
- D076 Finance Skills For Managers (How I passed) — Reddit · 30 pts
3 mentions across 1 sources
Reviewer notes
Reviewed review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 1,165 GitHub stars; contributors unknown; last commit 34d ago; license no license.
Things to check
- This is a community skill with limited governance; verify calculations against financial standards before using in production trading or compliance reporting. No guarantees on numerical accuracy or handling of edge cases in extreme market conditions.
How to evaluate tools before deploying →
Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
Scored from trust signals (evidence-eval-v1): 1,165 GitHub stars; contributors unknown; last commit 34d ago; license no license.