Setup guides · VALUEFOCUS RESEARCH

How to Install Awesome Finance Skills for Codex CLI

A practical, security-first setup guide for connecting Awesome Finance Skills to Codex CLI.

1 Tools coveredCodex CLI

Tools covered

94

Awesome Finance Skills

A bilingual suite for real-time news, stock data, sentiment, signal tracking and report generation.

Recommended workflow

  1. 1

    Verify the repository, license and latest release

  2. 2

    Install in an isolated environment and keep credentials in environment variables

  3. 3

    Enable read-only tools first and inspect every exposed capability

  4. 4

    Run a sourced test query and confirm timestamps before relying on output

Examples and expected outcomes

Example 1

Create a repeatable research memo

  • Sourced evidence
  • Repeatable steps
  • Explicit uncertainty
Example 2

Compare companies with one checklist

  • Sourced evidence
  • Repeatable steps
  • Explicit uncertainty
Example 3

Build a sourced bull/bear review

  • Sourced evidence
  • Repeatable steps
  • Explicit uncertainty

Access requirements

Keys and runtime

Optional search/model credentials depend on enabled skills

License and data rights

Verify each bundled skill and source before commercial use

Rate limits

News and quote sources can throttle; cache by source

Connect to your Agent

Claude config
npx skills add RKiding/Awesome-finance-skills

# Project-scoped Agent Skill layout
.claude/skills/awesome-finance-skills-review/SKILL.md
.claude/skills/awesome-finance-skills-review/references/

# Restart Claude Code and confirm discovery.
Prompt example

“Use Awesome Finance Skills to research AAPL. List sources and timestamps first, then separate facts, calculations, risks and missing data. Do not give personalized trading advice.”

When not to use it

  • Prediction modules need stronger validation
  • Real-time sources may change without notice

How to choose

Prefer primary sources for filings, maintained adapters for convenience, and narrow permissions for every agent tool. Treat model conclusions as analysis rather than financial advice.

Evidence to retain

Original source URL and retrieval timestamp

Exact tool inputs and normalized output

Missing-data and rate-limit messages

A clear separation between facts and interpretation