Agent skill

Company Market Cap

by OctagonAI in OctagonAI/skills

Retrieve market capitalization data for a single company using Octagon MCP.

MITAuto-check passedBusiness, Finance & HR

Install Company Market Cap

skills CLI
$ npx skills add OctagonAI/skills --skill company-market-cap -a claude-code

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

GitHub CLI
$ gh skill install OctagonAI/skills company-market-cap --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/OctagonAI/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/company-market-cap .claude/skills/company-market-cap && 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
company-market-cap
GitHub stars
127
Token cost
~1.5k tokens
SKILL.md length
519 words
Files
5 (incl. references)
Skills in repo
53
Repo updated
First seen
Licence
MIT

At a glance

Retrieve market capitalization data for a single company using Octagon MCP.

  • Works in 4 steps: Identify the Stock → Execute Query via Octagon MCP → Expected Output → …
  • You need the current market value
  • SKILL.md covers Prerequisites, Workflow, Example Queries and Understanding Market Cap, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Company Market Cap is an agent skill from OctagonAI/skills. Retrieve market capitalization data for a single company using Octagon MCP. Use when you need the current market value, valuation context, or size classification for any publicly traded stock.

Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files (for example `README.md`, `marketplace.json` and `references/interpreting-results.md`).

It sits in Business, Finance & HR, covering MCP servers. It works with Model Context Protocol. The repository describes itself as: A collection of Claude skills for agentic financial research by Octagon. The licence is MIT.

When your agent uses it

  • You need the current market value
  • Valuation context
  • Size classification for any publicly traded stock

Example prompts

  • “/company-market-cap”

Workflow steps

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

  1. Identify the Stock
  2. Execute Query via Octagon MCP
  3. Expected Output
  4. Interpret Results

What it can do on your machine

Read from SKILL.md and the folder at commit 51e938c. 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 (its code samples are json).

    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

Company Market Cap loads about 1.5k tokens when it runs, and up to ~3.7k if it reads all its reference files. Until then it costs about 53 tokens; SKILL.md has 519 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~53
When it runs · the whole SKILL.md, loaded when a task matches
~1.5k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3.7k

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 OctagonAI/skills at commit 51e938c, republished under its MIT licence (© OctagonAI). 519 words, ~1,543 tokens.

Download SKILL.mdSave it as .claude/skills/company-market-cap/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
company-market-cap
description
Retrieve market capitalization data for a single company using Octagon MCP. Use when you need the current market value, valuation context, or size classification for any publicly traded stock.

Company Market Cap

Retrieve the current market capitalization for a single company using the Octagon MCP server.

Prerequisites

Ensure Octagon MCP is configured in your AI agent (Cursor, Claude Desktop, Windsurf, etc.). See references/mcp-setup.md for installation instructions.

Workflow

1. Identify the Stock

Determine the ticker symbol for the company you want to analyze (e.g., AAPL, MSFT, GOOGL).

2. Execute Query via Octagon MCP

Use the octagon-agent tool with a natural language prompt:

Get market capitalization data for the symbol <TICKER>.

MCP Call Format:

json
{
  "server": "octagon-mcp",
  "toolName": "octagon-agent",
  "arguments": {
    "prompt": "Get market capitalization data for the symbol AAPL."
  }
}
3. Expected Output

The agent returns precise market cap data:

DateMarket Capitalization (USD)
2026-02-02$3,968,586,877,215.00

Additional context provided:

  • Rounded value (e.g., $3.97 trillion)
  • As-of date for the data
  • Data source

Data Sources: octagon-stock-data-agent

4. Interpret Results

See references/interpreting-results.md for guidance on:

  • Understanding market cap magnitude
  • Size classification
  • Valuation context
  • Historical comparison

Example Queries

Basic Query:

Get market capitalization data for the symbol AAPL.

With Context:

What is the current market cap for Tesla?

Historical Reference:

What is Microsoft's market capitalization and how has it changed recently?

Valuation Context:

What is NVDA's market cap and how does it compare to other chipmakers?

Size Classification:

What size category is AMD based on its market cap?

Understanding Market Cap

Definition
Market Cap = Current Share Price × Shares Outstanding
What It Represents
AspectDescription
Total ValueMarket's valuation of all shares
Size IndicatorCompany scale and influence
Index WeightDetermines index composition
Acquisition CostTheoretical buyout price
What It Doesn't Represent
MisconceptionReality
Intrinsic ValueMarket perception, not fundamental worth
Book ValueDifferent from accounting value
Enterprise ValueExcludes debt and cash
Sale PriceAcquisitions often have premiums

Size Classifications

Standard Categories
CategoryRangeCharacteristics
Mega-cap>$200BGlobal leaders, household names
Large-cap$10B-$200BEstablished, stable companies
Mid-cap$2B-$10BGrowth potential, moderate risk
Small-cap$300M-$2BHigher growth, higher volatility
Micro-cap$50M-$300MSpeculative, limited coverage
Nano-cap<$50MHighest risk, low liquidity
Trillion-Dollar Club
ThresholdSignificance
>$1TElite status, massive scale
>$2TGlobal economic influence
>$3TAmong world's most valuable

Market Cap Analysis

Valuation Ratios
RatioFormulaPurpose
P/EMarket Cap / Net IncomeEarnings valuation
P/SMarket Cap / RevenueRevenue valuation
P/BMarket Cap / Book ValueAsset valuation
PEGP/E / Growth RateGrowth-adjusted value
Enterprise Value Comparison
MetricCalculation
Enterprise ValueMarket Cap + Debt - Cash
EV/EBITDAEV / Operating earnings
EV/RevenueEV / Total revenue
Show full SKILL.md (205 more words)Show less

Contextual Analysis

Industry Comparison
QuestionPurpose
Largest in sector?Market leadership
Above/below median?Relative positioning
Gap to leader?Distance from top
Historical Perspective
TimeframeAnalysis
1 YearRecent performance
5 YearsMedium-term trend
10 YearsLong-term growth
All-time HighPeak valuation
Global Context
ComparisonPurpose
vs. Global LeadersScale perspective
vs. Country GDPEconomic significance
vs. Index TotalMarket weight

Factors Affecting Market Cap

Price Drivers
FactorImpact
EarningsFundamental driver
GrowthFuture expectations
SentimentMarket psychology
MacroEconomic conditions
Share Count Changes
EventEffect
BuybacksReduces shares, concentrates value
IssuanceIncreases shares, dilutes
Stock SplitNo effect (price adjusts)
Spin-offsSeparates value

Common Use Cases

Investment Analysis
What is the market cap for XYZ and how does it compare to peers?
Portfolio Context
What is the market capitalization of my largest holding, AAPL?
News Context
Apple's market cap after today's earnings announcement?
Valuation Check
Is TSLA's market cap justified relative to its revenue?

Analysis Tips

  1. Use precise values: Full number for calculations, rounded for communication.

  2. Note the date: Market cap changes constantly with price.

  3. Consider float: Some shares may not be tradeable.

  4. Compare appropriately: Same industry, similar business models.

  5. Understand drivers: Price appreciation vs. share changes.

  6. Enterprise value: Add debt consideration for M&A context.

Integration with Other Skills

SkillCombined Use
stock-quoteMarket cap + current price details
batch-market-capSingle company vs. peer group
income-statementMarket cap vs. earnings
balance-sheetMarket cap vs. book value
financial-metrics-analysisFull valuation analysis

© OctagonAI, MIT. 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 4 other files (references) in skills/company-market-cap of OctagonAI/skills.

  • SKILL.md
  • README.md
  • marketplace.json
  • references/interpreting-results.md
  • references/mcp-setup.md

Open the folder on GitHubat commit 51e938c

Compare with similar skills

Company Market Cap 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.

Company Market Cap compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Company Market Cap this skillOctagonAI/skills127—~1.5kAutomated safety check: PassMIT
Tradingview MCPatilaahmettaner/tradingview-mcp5k—~1.3kAutomated safety check: PassMIT
Okx Cex Marketdex-original/okx-agent-trade-kit1101 repos~2.7kAutomated safety check: PassMIT
Polymarket Tennislivetennisapi/livetennisapi-mcp152—~3kAutomated safety check: PassMIT
Okx Sentiment Trackerdex-original/okx-agent-trade-kit1101 repos~3.8kAutomated safety check: PassMIT
Odoo Agency Fleet Reviewerpipe-org/mcp-odoo421—~699Automated safety check: PassMIT

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Questions about Company Market Cap

What does Company Market Cap do?

Retrieve market capitalization data for a single company using Octagon MCP. Company Market Cap is an agent skill from OctagonAI/skills. Retrieve market capitalization data for a single company using Octagon MCP.

When should I use Company Market Cap?

Company Market Cap fits situations like: you need the current market value; valuation context; size classification for any publicly traded stock.

How do I install Company Market Cap in Claude Code?

Run `npx skills add OctagonAI/skills --skill company-market-cap -a claude-code`. Or copy the skill folder (skills/company-market-cap in OctagonAI/skills) into .claude/skills/company-market-cap in your project. Claude Code loads it when a task matches its description.

How do I install Company Market Cap in Codex?

Run `npx skills add OctagonAI/skills --skill company-market-cap -a codex`. Or copy the skill folder (skills/company-market-cap in OctagonAI/skills) into .agents/skills/company-market-cap in your project. Codex loads it when a task matches its description.

Can I use Company Market Cap 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 OctagonAI/skills --skill company-market-cap -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/company-market-cap, .gemini/skills/company-market-cap, .github/skills/company-market-cap and .opencode/skills/company-market-cap in your project.

What does Company Market Cap need to run?

SKILL.md names no scripts, command-line tools or credentials: Company Market Cap is instructions for the agent only.

Does Company Market Cap 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 Company Market Cap 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 Company Market Cap use?

Company Market Cap is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Company Market Cap use?

About 1.5k tokens (SKILL.md is roughly 6.2k 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 2.1k tokens, read only when the agent opens those files.

What are the alternatives to Company Market Cap?

Skills that share tags, products or a category with Company Market Cap: Tradingview MCP (atilaahmettaner/tradingview-mcp, 5k stars), Okx Cex Market (dex-original/okx-agent-trade-kit, 110 stars), Polymarket Tennis (livetennisapi/livetennisapi-mcp, 152 stars) and Okx Sentiment Tracker (dex-original/okx-agent-trade-kit, 110 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Company Market Cap?

OctagonAI (a GitHub organization) maintains it in OctagonAI/skills, which has 127 GitHub stars. The repository holds 53 skills in this directory. The repository was last updated on June 5, 2026.

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