Skip to content
TrustedSkillsbeta
Back to all skills

Finance Psychology

Checked
joellewis·vlatest·data·MIT

This skill analyzes financial decisions using psychological principles to understand motivations and predict behavior – valuable for investment strategies & risk assessment.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add joellewis/finance_skills --skill finance-psychology -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

joellewis

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned joellewis/finance_skills at 5c498eacf7.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
5c498eacf7
Manifest
plugins/wealth-management/skills/finance-psychology/SKILL.md
Scanned
1 file, 150 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill allows AI agents to incorporate principles of behavioral economics and psychology into financial analysis and decision-making. It can identify cognitive biases that influence investor behavior, predict market reactions based on psychological factors, and suggest strategies for mitigating risk associated with emotional investing. The agent can analyze text related to finance and provide insights rooted in psychological understanding.

When to use it

  • Investment Strategy Analysis: Evaluate the potential impact of investor sentiment and behavioral biases on a particular investment strategy.
  • Market Trend Prediction: Assess how psychological factors might influence short-term market fluctuations or long-term trends.
  • Risk Management: Identify and mitigate risks arising from emotional decision-making in financial planning.
  • Financial Education Content Creation: Develop educational materials that explain common biases and promote rational investment practices.

Key capabilities

  • Bias Identification: Detects cognitive biases (e.g., confirmation bias, loss aversion) in text or scenarios.
  • Sentiment Analysis: Gauges the emotional tone of financial news and market commentary.
  • Behavioral Prediction: Forecasts how psychological factors might influence investor actions.
  • Risk Mitigation Strategies: Suggests approaches to reduce risks associated with emotional investing.

Example prompts

  • "Analyze this article about a new cryptocurrency and identify any potential biases influencing the author's perspective."
  • “How might loss aversion affect investors’ reactions to a market downturn?”
  • "Suggest strategies for overcoming confirmation bias when evaluating investment opportunities.”

Tips & gotchas

The skill requires financial data or text as input. Its accuracy depends on the quality and relevance of this information; it is not a substitute for professional financial advice.