Agent skill

Undervalued Stock Screener

by Geeksfino in Geeksfino/finskills

Screen and identify undervalued stocks with strong fundamentals using professional equity research methodology.

Apache-2.0Auto-check passedBusiness, Finance & HR

Install Undervalued Stock Screener

skills CLI
$ npx skills add Geeksfino/finskills --skill undervalued-stock-screener -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Geeksfino/finskills undervalued-stock-screener --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Geeksfino/finskills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/US-market/undervalued-stock-screener .claude/skills/undervalued-stock-screener && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
undervalued-stock-screener
GitHub stars
282
Token cost
~968 tokens
SKILL.md length
420 words
Files
4 (incl. references)
Skills in repo
30
Repo updated
First seen
Licence
Apache-2.0

At a glance

Screen and identify undervalued stocks with strong fundamentals using professional equity research methodology.

  • Works in 4 steps: Confirm Screening Parameters → Apply Screening Filters → Deep-Dive Analysis → …
  • The user asks to find undervalued stocks
  • SKILL.md covers Workflow, Data Enhancement and Important Guidelines
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Undervalued Stock Screener is an agent skill from Geeksfino/finskills. Screen and identify undervalued stocks with strong fundamentals using professional equity research methodology. Use when the user asks to find undervalued stocks, screen for cheap or bargain stocks, identify value investing opportunities, perform fundamental stock analysis, find stocks trading below intrinsic value, or requests a stock screener based on financial metrics like P/E ratio, debt-to-equity, free cash flow, or ROIC.

Its SKILL.md is about 970 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `references/output-template.md` and `references/screening-methodology.md`).

It sits in Business, Finance & HR, covering Stock and market analysis. The repository describes itself as: Financial engineering and risk/compliance skills for agents. The licence is Apache-2.0.

When your agent uses it

  • The user asks to find undervalued stocks
  • Screen for cheap
  • Identify value investing opportunities
  • Perform fundamental stock analysis

Example prompts

  • “/undervalued-stock-screener”

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Confirm Screening Parameters
  2. Apply Screening Filters
  3. Deep-Dive Analysis
  4. Compile and Present

What it can do on your machine

Read from SKILL.md and the folder at commit 8722415. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Undervalued Stock Screener loads about 968 tokens when it runs, and up to ~3.4k if it reads all its reference files. Until then it costs about 114 tokens; SKILL.md has 420 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~114
When it runs · the whole SKILL.md, loaded when a task matches
~968
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Geeksfino/finskills at commit 8722415, republished under its Apache-2.0 licence (© Geeksfino). 420 words, ~968 tokens.

Download SKILL.mdSave it as .claude/skills/undervalued-stock-screener/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
undervalued-stock-screener
description
Screen and identify undervalued stocks with strong fundamentals using professional equity research methodology. Use when the user asks to find undervalued stocks, screen for cheap or bargain stocks, identify value investing opportunities, perform fundamental stock analysis, find stocks trading below intrinsic value, or requests a stock screener based on financial metrics like P/E ratio, debt-to-equity, free cash flow, or ROIC.
license
Apache-2.0

Undervalued Stock Screener

Act as a professional equity research analyst. Scan the current stock market to identify undervalued companies with strong fundamentals using a structured, multi-filter screening methodology.

Workflow

Step 1: Confirm Screening Parameters

Before screening, confirm with the user:

  1. Number of stocks to identify (default: 10)
  2. Market scope — US only, global, or specific regions/exchanges
  3. Sector preferences — any sectors to include or exclude
  4. Market cap range — large-cap, mid-cap, small-cap, or all
  5. Additional filters — any custom criteria beyond the defaults

If the user wants defaults, proceed with the standard filters below.

Step 2: Apply Screening Filters

Apply ALL of the following quantitative filters. See references/screening-methodology.md for detailed criteria, thresholds, and edge cases.

FilterCriterion
ValuationP/E ratio below industry average
GrowthConsistent revenue and earnings growth over 3–5 years
LeverageDebt-to-equity ratio below sector median
Cash FlowPositive and growing free cash flow
ReturnsROIC above industry average
UpsideAnalyst consensus upside ≥ 30%
Step 3: Deep-Dive Analysis

For each qualifying company, perform a deep-dive analysis covering:

  1. Business Overview — What the company does, its market position, competitive moat
  2. Why It Appears Undervalued — Specific catalysts, market misperception, or temporary headwinds causing the discount
  3. Key Risks — Macro, industry, and company-specific risks that could impair the thesis
  4. Estimated Intrinsic Value Range — Using DCF, comparable multiples, or asset-based approaches as appropriate

See references/output-template.md for the structured report format.

Show full SKILL.md (189 more words)Show less
Step 4: Compile and Present

Present findings in a structured report:

  1. Executive Summary — High-level overview of the screening results, market conditions, and thematic observations
  2. Screening Criteria Summary — Table of filters applied
  3. Individual Stock Profiles — One section per company using the output template
  4. Comparative Table — Side-by-side metrics for all identified stocks
  5. Disclaimers — Standard investment research disclaimers

Data Enhancement

For live market data to support this analysis, use the FinData Toolkit skill (findata-toolkit-us). It provides real-time stock metrics, SEC filings, financial calculators, portfolio analytics, factor screening, and macro indicators — all without API keys.

Important Guidelines

  • Data currency: Always state the date/period of data used. Acknowledge any data limitations.
  • Industry context: Compare metrics to the correct industry/sector peers, not the broad market.
  • Qualitative overlay: Numbers alone are insufficient. Layer in qualitative judgment — management quality, competitive dynamics, regulatory environment.
  • Avoid bias: Do not favor popular or well-known names. Include lesser-known companies if they meet criteria.
  • Risk-first mindset: For each stock, honestly assess what could go wrong. A good screener is not a buy list.
  • Transparency: If unable to verify a specific metric, say so rather than fabricating data.

© Geeksfino, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files (references) in US-market/undervalued-stock-screener of Geeksfino/finskills.

  • SKILL.md
  • LICENSE.txt
  • references/output-template.md
  • references/screening-methodology.md

Open the folder on GitHubat commit 8722415

Compare with similar skills

Undervalued Stock Screener next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Undervalued Stock Screener compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Undervalued Stock Screener this skillGeeksfino/finskills282—~968Automated safety check: PassApache-2.0
Stock APIzhangxiangliang/stock-api2k—~507Automated safety check: PassMIT
Tushare Datazillionare/zillionare3222 repos~2.3kAutomated safety check: PassNone
Tradingview MCPatilaahmettaner/tradingview-mcp5k—~1.3kAutomated safety check: PassMIT
Digital Oraclekomako-workshop/digital-oracle878—~5.9kAutomated safety check: PassMIT
Longbridge Researchhelsome/folio2713 repos~2.1kAutomated safety check: PassMIT

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Questions about Undervalued Stock Screener

What does Undervalued Stock Screener do?

Screen and identify undervalued stocks with strong fundamentals using professional equity research methodology. Undervalued Stock Screener is an agent skill from Geeksfino/finskills. Screen and identify undervalued stocks with strong fundamentals using professional equity research methodology.

When should I use Undervalued Stock Screener?

Undervalued Stock Screener fits situations like: the user asks to find undervalued stocks; screen for cheap; identify value investing opportunities; perform fundamental stock analysis.

How do I install Undervalued Stock Screener in Claude Code?

Run `npx skills add Geeksfino/finskills --skill undervalued-stock-screener -a claude-code`. Or copy the skill folder (US-market/undervalued-stock-screener in Geeksfino/finskills) into .claude/skills/undervalued-stock-screener in your project. Claude Code loads it when a task matches its description.

How do I install Undervalued Stock Screener in Codex?

Run `npx skills add Geeksfino/finskills --skill undervalued-stock-screener -a codex`. Or copy the skill folder (US-market/undervalued-stock-screener in Geeksfino/finskills) into .agents/skills/undervalued-stock-screener in your project. Codex loads it when a task matches its description.

Can I use Undervalued Stock Screener in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Geeksfino/finskills --skill undervalued-stock-screener -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/undervalued-stock-screener, .gemini/skills/undervalued-stock-screener, .github/skills/undervalued-stock-screener and .opencode/skills/undervalued-stock-screener in your project.

What does Undervalued Stock Screener need to run?

SKILL.md names no scripts, command-line tools or credentials: Undervalued Stock Screener is instructions for the agent only.

Does Undervalued Stock Screener access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Undervalued Stock Screener safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Undervalued Stock Screener use?

Undervalued Stock Screener is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Undervalued Stock Screener use?

About 968 tokens (SKILL.md is roughly 3.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.4k tokens, read only when the agent opens those files.

What are the alternatives to Undervalued Stock Screener?

Skills that share tags, products or a category with Undervalued Stock Screener: Stock API (zhangxiangliang/stock-api, 2k stars), Tushare Data (zillionare/zillionare, 322 stars), Tradingview MCP (atilaahmettaner/tradingview-mcp, 5k stars) and Digital Oracle (komako-workshop/digital-oracle, 878 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Undervalued Stock Screener?

Geeksfino (a GitHub user) maintains it in Geeksfino/finskills, which has 282 GitHub stars. The repository holds 30 skills in this directory. The repository was last updated on March 5, 2026.

Source: Geeksfino/finskills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.