Agent skill

Industry Pe Ratios

Retrieve industry-specific P/E ratios using Octagon MCP. An agent skill from OctagonAI/skills.

MITAuto-check passedBusiness, Finance & HR

Install Industry Pe Ratios

skills CLI

$ npx skills add OctagonAI/skills --skill industry-pe-ratios -a claude-code

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

GitHub CLI

$ gh skill install OctagonAI/skills industry-pe-ratios --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/industry-pe-ratios .claude/skills/industry-pe-ratios && 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/

Paste into Claude Code

Install the "industry-pe-ratios" agent skill from https://github.com/OctagonAI/skills/tree/main/skills/industry-pe-ratios into .claude/skills/industry-pe-ratios/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "industry-pe-ratios", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/OctagonAI/skills/tree/main/skills/industry-pe-ratios

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add OctagonAI/skills --skill industry-pe-ratios -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install OctagonAI/skills industry-pe-ratios --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/OctagonAI/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/industry-pe-ratios .agents/skills/industry-pe-ratios && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "industry-pe-ratios" agent skill from https://github.com/OctagonAI/skills/tree/main/skills/industry-pe-ratios into .agents/skills/industry-pe-ratios/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "industry-pe-ratios", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add OctagonAI/skills --skill industry-pe-ratios -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install OctagonAI/skills industry-pe-ratios --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/OctagonAI/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/industry-pe-ratios .cursor/skills/industry-pe-ratios && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "industry-pe-ratios" agent skill from https://github.com/OctagonAI/skills/tree/main/skills/industry-pe-ratios into .cursor/skills/industry-pe-ratios/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "industry-pe-ratios", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/OctagonAI/skills.git --path skills/industry-pe-ratios

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add OctagonAI/skills --skill industry-pe-ratios -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install OctagonAI/skills industry-pe-ratios --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/OctagonAI/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/industry-pe-ratios .gemini/skills/industry-pe-ratios && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "industry-pe-ratios" agent skill from https://github.com/OctagonAI/skills/tree/main/skills/industry-pe-ratios into .gemini/skills/industry-pe-ratios/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "industry-pe-ratios", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install OctagonAI/skills industry-pe-ratios

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add OctagonAI/skills --skill industry-pe-ratios -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/OctagonAI/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/industry-pe-ratios .github/skills/industry-pe-ratios && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "industry-pe-ratios" agent skill from https://github.com/OctagonAI/skills/tree/main/skills/industry-pe-ratios into .github/skills/industry-pe-ratios/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "industry-pe-ratios", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add OctagonAI/skills --skill industry-pe-ratios -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install OctagonAI/skills industry-pe-ratios --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/OctagonAI/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/industry-pe-ratios .opencode/skills/industry-pe-ratios && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "industry-pe-ratios" agent skill from https://github.com/OctagonAI/skills/tree/main/skills/industry-pe-ratios into .opencode/skills/industry-pe-ratios/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "industry-pe-ratios", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: industry-pe-ratios
GitHub stars: 127
Token cost: ~1.8k tokens
SKILL.md length: 542 words
Files: 5 (incl. references)
Skills in repo: 53
Repo updated: Jun 5, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Retrieve industry-specific P/E ratios using Octagon MCP. An agent skill from OctagonAI/skills.

Works in 4 steps: Identify Parameters → Execute Query via Octagon MCP → Expected Output → …
Comparing company valuations to specific industry peers
SKILL.md covers Prerequisites, Workflow, Example Queries and Industry vs. Sector, plus 5 more sections
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Industry Pe Ratios is an agent skill from OctagonAI/skills. Retrieve industry-specific P/E ratios using Octagon MCP. Use when comparing company valuations to specific industry peers, analyzing sub-sector valuations, and understanding niche market valuations beyond broad sector averages.

Its SKILL.md is about 1.8k 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

Comparing company valuations to specific industry peers
Analyzing sub-sector valuations
Understanding niche market valuations beyond broad sector averages

Example prompts

“/industry-pe-ratios”

Workflow steps

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

Identify Parameters
Execute Query via Octagon MCP
Expected Output
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

Industry Pe Ratios loads about 1.8k tokens when it runs, and up to ~4.1k if it reads all its reference files. Until then it costs about 62 tokens; SKILL.md has 542 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~62
When it runs · the whole SKILL.md, loaded when a task matches: ~1.8k
With references · SKILL.md plus every file in references/, read only if the agent opens them: ~4.1k

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). 542 words, ~1,757 tokens.

Download SKILL.mdSave it as .claude/skills/industry-pe-ratios/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.

name: industry-pe-ratios
description: Retrieve industry-specific P/E ratios using Octagon MCP. Use when comparing company valuations to specific industry peers, analyzing sub-sector valuations, and understanding niche market valuations beyond broad sector averages.

Industry P/E Ratios

Retrieve price-to-earnings ratios by specific industry and exchange 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 Parameters

Determine your query parameters:

Date: Specific date for the data
Exchange: NYSE, NASDAQ, etc.
Industry: Semiconductors, Software, Biotechnology, etc.

2. Execute Query via Octagon MCP

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

Retrieve the latest industry P/E ratios for <DATE>, filtered by exchange <EXCHANGE> and industry <INDUSTRY>.

MCP Call Format:

json

{
  "server": "octagon-mcp",
  "toolName": "octagon-agent",
  "arguments": {
    "prompt": "Retrieve the latest industry P/E ratios for 2025-02-03, filtered by exchange NYSE and industry Semiconductors."
  }
}

3. Expected Output

The agent returns industry P/E data:

Metric	Value
Industry	Semiconductors
Exchange	NYSE
P/E Ratio	12.47
Date	2025-02-03
Example Company	ON Semiconductor (ON)

Data Sources: octagon-companies-agent, octagon-financials-agent, octagon-sec-agent, octagon-web-search-agent

4. Interpret Results

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

Comparing company P/E to industry P/E
Industry vs. sector differences
Cross-industry analysis
Peer group valuation

Example Queries

Specific Industry and Exchange:

Retrieve the latest industry P/E ratios for 2025-02-03, filtered by exchange NYSE and industry Semiconductors.

NASDAQ Industry:

Get P/E ratios for the Software industry on NASDAQ.

Industry Comparison:

Compare P/E ratios for Semiconductors, Software, and Internet industries.

Historical Trend:

What is the historical P/E trend for the Biotechnology industry?

Peer Analysis:

What are the P/E ratios for companies in the Electric Vehicles industry?

Industry vs. Sector

Hierarchy

Sector (Broad) → Industry (Specific) → Sub-Industry (Niche)

Example

Level	Example
Sector	Technology
Industry	Semiconductors
Sub-Industry	Memory Chips

Why Industry Matters

Comparison	Purpose
Sector P/E	Broad market context
Industry P/E	Peer group benchmark
Company P/E	Specific valuation

Common Industries

Technology Sector Industries

Industry	Typical P/E Range
Semiconductors	15-35
Software	25-50
IT Services	18-30
Hardware	15-25
Internet	30-60

Healthcare Sector Industries

Industry	Typical P/E Range
Biotechnology	20-40 (or N/A)
Pharmaceuticals	15-25
Medical Devices	25-40
Healthcare Services	18-28
Health Insurance	12-20

Financial Sector Industries

Industry	Typical P/E Range
Banks	10-15
Insurance	10-18
Asset Management	12-20
REITs	15-25
Fintech	25-50

Consumer Sector Industries

Industry	Typical P/E Range
Retail	15-25
Restaurants	20-35
Apparel	15-25
Automotive	8-15
E-commerce	30-60

Industrial Sector Industries

Industry	Typical P/E Range
Aerospace & Defense	18-25
Machinery	15-22
Transportation	12-20
Construction	12-18
Electrical Equipment	18-28

Using Industry P/E for Analysis

Company Valuation Context

Comparison	Interpretation
Company P/E < Industry P/E	Potential value or concerns
Company P/E = Industry P/E	Fairly valued vs. peers
Company P/E > Industry P/E	Premium for quality/growth

Premium/Discount Calculation

Premium/Discount = (Company P/E - Industry P/E) / Industry P/E × 100%

Example

Company P/E: 18
Industry P/E (Semiconductors): 12.47
Premium: (18 - 12.47) / 12.47 = +44.3% (trading at premium)

Show full SKILL.md (217 more words)Show less

Peer Group Analysis

Defining Peer Groups

Approach	Method
Same Industry	Direct competitors
Similar Size	Market cap range
Similar Growth	Growth rate bands
Similar Model	Business model match

Peer Comparison Framework

Metric	Compare
P/E vs. Industry	Relative value
Growth vs. Industry	Growth premium
Margins vs. Industry	Quality premium
Size vs. Industry	Scale premium

Industry Characteristics

High P/E Industries

Industry	Why Higher P/E
Software	Recurring revenue, scalability
Biotech	Pipeline optionality
E-commerce	Growth potential
Cloud	Secular growth trend

Low P/E Industries

Industry	Why Lower P/E
Banks	Cyclical, regulated
Insurance	Mature, capital-intensive
Utilities	Slow growth, stable
Commodities	Cyclical, price-takers

Exchange Considerations

NYSE vs. NASDAQ

Exchange	Industry Mix
NYSE	More diversified, traditional
NASDAQ	Tech-heavy, growth-oriented

Same Industry, Different Exchange

Consideration	Impact
Different companies	Different P/E averages
Liquidity differences	Valuation premiums
Listing requirements	Company quality

Common Use Cases

Stock Valuation

Is AMD's P/E reasonable compared to the Semiconductor industry?

Industry Selection

Which industries have the most attractive valuations?

Peer Benchmarking

How does NVDA's valuation compare to semiconductor peers?

M&A Analysis

What P/E is typical for Software industry acquisitions?

Analysis Tips

Use industry, not just sector: More precise comparison.
Consider growth rates: Higher growth justifies higher P/E.
Check profitability mix: Loss-making companies distort averages.
Compare apples to apples: Same business model.
Adjust for size: Large-caps often command premiums.
Look at sub-industries: Even more precise comparisons.

Integration with Other Skills

Skill	Combined Use
sector-pe-ratios	Industry vs. sector context
financial-metrics-analysis	Company P/E details
income-statement	Earnings driving P/E
stock-performance	Price trends within industry

Files

SKILL.md and 4 other files (references) in skills/industry-pe-ratios 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

Industry Pe Ratios 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.

Industry Pe Ratios compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Industry Pe Ratios this skillOctagonAI/skills	127	—	~1.8k	Automated safety check: Pass	MIT	4 mo ago
Tradingview MCPatilaahmettaner/tradingview-mcp	5k	—	~1.3k	Automated safety check: Pass	MIT	yesterday
Okx Cex Marketdex-original/okx-agent-trade-kit	110	1 repos	~2.7k	Automated safety check: Pass	MIT	4 mo ago
Polymarket Tennislivetennisapi/livetennisapi-mcp	152	—	~3k	Automated safety check: Pass	MIT	4 days ago
Okx Sentiment Trackerdex-original/okx-agent-trade-kit	110	1 repos	~3.8k	Automated safety check: Pass	MIT	4 mo ago
Odoo Agency Fleet Reviewerpipe-org/mcp-odoo	421	—	~699	Automated safety check: Pass	MIT	1 mo ago

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Questions about Industry Pe Ratios

What does Industry Pe Ratios do?

Retrieve industry-specific P/E ratios using Octagon MCP. An agent skill from OctagonAI/skills. Industry Pe Ratios is an agent skill from OctagonAI/skills. Retrieve industry-specific P/E ratios using Octagon MCP.

When should I use Industry Pe Ratios?

Industry Pe Ratios fits situations like: comparing company valuations to specific industry peers; analyzing sub-sector valuations; understanding niche market valuations beyond broad sector averages.

How do I install Industry Pe Ratios in Claude Code?

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

How do I install Industry Pe Ratios in Codex?

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

Can I use Industry Pe Ratios 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 industry-pe-ratios -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/industry-pe-ratios, .gemini/skills/industry-pe-ratios, .github/skills/industry-pe-ratios and .opencode/skills/industry-pe-ratios in your project.

What does Industry Pe Ratios need to run?

SKILL.md names no scripts, command-line tools or credentials: Industry Pe Ratios is instructions for the agent only.

Does Industry Pe Ratios 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 Industry Pe Ratios 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 Industry Pe Ratios use?

Industry Pe Ratios 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 Industry Pe Ratios use?

About 1.8k tokens (SKILL.md is roughly 7k 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 2.3k tokens, read only when the agent opens those files.

What are the alternatives to Industry Pe Ratios?

Skills that share tags, products or a category with Industry Pe Ratios: 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 Industry Pe Ratios?

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.

Install Industry Pe Ratios

Facts

At a glance

What it does

When your agent uses it

Example prompts

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Industry P/E Ratios

Prerequisites

Workflow

1. Identify Parameters

2. Execute Query via Octagon MCP

3. Expected Output

4. Interpret Results

Example Queries

Industry vs. Sector

Hierarchy

Example

Why Industry Matters

Common Industries

Technology Sector Industries

Healthcare Sector Industries

Financial Sector Industries

Consumer Sector Industries

Industrial Sector Industries

Using Industry P/E for Analysis

Company Valuation Context

Premium/Discount Calculation

Example

Peer Group Analysis

Defining Peer Groups

Peer Comparison Framework

Industry Characteristics

High P/E Industries

Low P/E Industries

Exchange Considerations

NYSE vs. NASDAQ

Same Industry, Different Exchange

Common Use Cases

Stock Valuation

Industry Selection

Peer Benchmarking

M&A Analysis

Analysis Tips

Integration with Other Skills

Files

Compare with similar skills

Similar skills

More from OctagonAI/skills

Related

Questions about Industry Pe Ratios