finance-skills: A collection of skills for AI financial analysis

by himself65 · Claude Skill · ★ 3.5k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install finance-skills

/plugin marketplace add himself65/finance-skills
/plugin install finance-skills@finance-skills

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 71/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

agent-skillsclaude-codeskillstrading

Quick Facts

Stars3,450
Forks389
LanguageJavaScript
CategoryClaude Skill
LicenseMIT
Quality Score71/100
Last Updated2026-10-25
Created2026-03-13
Platformsclaude-code, node
Est. Tokens~14k

About finance-skills

Finance Skills [!WARNING] This project is for educational and informational purposes only. Nothing here constitutes financial advice. Always do your own research and consult a qualified financial advisor before making investment decisions. A collection of agent skills for financial analysis and trading. See DEMOS.md for screenshots and examples.

Compatible Skills

These tools work well together with finance-skills for enhanced workflows:

  • maverick-mcp — semantic(0.29)+complementary+rare_topics+similar_pop+shared_platform (55%)
  • composer-trade-mcp — semantic(0.41)+complementary+rare_topics+similar_pop+shared_platform (54%)
  • ccxt-mcp — semantic(0.37)+complementary+rare_topics+similar_pop+shared_platform (52%)
  • open-trading-api — semantic(0.37)+complementary+rare_topics+similar_pop+shared_platform (52%)
  • agent-skills — semantic(0.34)+complementary+similar_pop+shared_platform (52%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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