compare-peers

Compare a target company's financial ratios with industry peers and generate hypotheses for statistical outliers.

Updated Feb 18, 2026
One-click install
npx skills add https://github.com/tcole333/ithildin --skill compare-peers
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: compare-peers
Source: https://github.com/tcole333/ithildin/tree/main/.claude/skills/compare-peers
Command: npx skills add https://github.com/tcole333/ithildin --skill compare-peers

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires uv, python, json, yaml, and includes scripts (resource) and references (resource) components.

What problem does it solve?

The compare-peers skill addresses the challenge of comparing a target company's financial profile against a set of industry peers, identifying outliers, and generating hypotheses for further investigation.

Core Features & Use Cases

  • Financial Ratio Comparison: Compare a target company's financial ratios with 3-8 industry peers.
  • Outlier Detection: Identify statistical outliers in the financial data.
  • Hypothesis Generation: Create forensic hypotheses for each statistical outlier.
  • Use Case: Analyze a company's financial ratios and compare them to its peers to uncover anomalies that could indicate business concerns.

Quick Start

To start a financial comparison, use the command: /compare-peers "Target Company Name" --peers "Peer 1, Peer 2, Peer 3"

Frequently Asked Questions about compare-peers

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I compare a company's financial ratios against industry peers?▼

You can compare financial ratios against industry peers by specifying 3 to 8 peer companies, allowing the tool to calculate profile deviations, detect statistical outliers, and generate forensic hypotheses.

What is financial outlier detection and when is it needed?▼

Financial outlier detection identifies statistical anomalies in a company's financial ratios compared to its industry peers, needed when analyzing business profiles to uncover potential concerns or anomalies for further investigation.

How do I generate forensic hypotheses from financial data anomalies?▼

You generate forensic hypotheses from financial data anomalies by comparing a target company's financial ratios against peer benchmarks, which automatically creates investigative hypotheses for each statistical outlier detected.

Does this peer benchmarking approach require specific dependencies?▼

Yes, this peer benchmarking approach requires specific dependencies including uv, python, json, and yaml to query financial data, perform calculations, and store structured results.

Can I use this for company profiling with a small peer group?▼

Yes, you can use this for company profiling by comparing a target company's financial ratios against a small peer group of 3 to 8 industry peers to detect anomalies.

Why does industry benchmarking help uncover business concerns?▼

Industry benchmarking helps uncover business concerns by comparing a target company's financial ratios against peer profiles, highlighting statistical outliers that indicate potential operational or financial anomalies requiring deeper analysis.