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gp-performance-evaluator

Compute GP performance metrics and benchmark funds against vintage peers.

Updated Apr 1, 2026
Search Tags:#benchmarking#dpi#alpha#irr#tvpi#gp-performance#fee-drag
One-click install
npx skills add https://github.com/chibus0368-pixel/om-analyzer --skill gp-performance-evaluator
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: gp-performance-evaluator
Source: https://github.com/chibus0368-pixel/om-analyzer/tree/main/skills/gp-performance-evaluator
Command: npx skills add https://github.com/chibus0368-pixel/om-analyzer --skill gp-performance-evaluator

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

GP performance evaluation and benchmarking is complex and error-prone when GP-reported metrics are not independently verified or contextualized against vintage peers.

Core Features & Use Cases

  • Independent verification of DPI, TVPI, RVPI, IRR (net and gross) against GP-reported figures.
  • Vintage-peer benchmarking by fund strategy and vintage year, with fee drag, dispersion, and alpha analysis.
  • GP scorecard generation that synthesizes returns, fees, risk, and consistency to inform re-up decisions.

Quick Start

Ingest the fund cash flows and GP-reported metrics to generate a complete GP performance evaluation and scorecard.

Frequently Asked Questions about gp-performance-evaluator

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

FAQPage Schema
How do I independently verify GP performance metrics like DPI and IRR?▼

Independent GP performance verification requires computing DPI, TVPI, RVPI, and net IRR directly from fund cash flows, then comparing these calculated metrics against GP-reported figures to flag any discrepancies.

What is the best way to benchmark private equity fund returns against vintage peers?▼

Benchmarking fund returns against vintage peers requires comparing computed performance metrics by fund strategy and vintage year, evaluating fee drag, return dispersion, and alpha to contextualize relative performance.

How do I calculate fee drag for a private equity fund?▼

Calculating fee drag requires analyzing the spread between gross IRR and net IRR from fund cash flows, benchmarking these fee economics against vintage peers by strategy, and synthesizing the impact on overall returns.

Can I generate a GP scorecard for re-up decisions from fund cash flows?▼

Generating a GP scorecard for re-up decisions involves synthesizing independently verified returns, fee economics, deal quality, alpha, and consistency metrics from fund cash flows, including confidence and risk flags.

What data do I need to evaluate private equity alpha and return dispersion?▼

Evaluating alpha and return dispersion requires ingesting raw fund cash flows and GP-reported metrics to compute verified performance data, which is then benchmarked against vintage peers by fund strategy and vintage year.

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