Menu

Individual skill

sensitivity-analysis

0upvotes

Builds two-variable data tables around a base case to show which drivers move value the most, expressed as swing in value, IRR, or EPS.

packs/investment-banking/skills/sensitivity-analysis/SKILL.md

Read pinned source

Source commit e19bba60ec18203161854532f283a19023c20d3d

What was checked

Matches the observed repository HEAD
Yes
Scanner rules are current
No
Repository scan complete
No
Skill scan complete
Yes
Observed behavior
Not checked yet
Last checked
Nov 11, 2026

These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.

Install this skill

Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.

An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.

Repository context

Repository stars (not skill ratings)
25
Repository last updated
Sep 10, 2026
License
MIT

Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.

Files and excerpt

File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.

Browse files
Read excerpt

# Sensitivity Analysis Agent

## When to use
Use this agent when you need to see what moves value the most: after a base-case model is built and you want to know which assumptions to defend hardest, or before a committee that will ask how robust the number is. Unlike scenario analysis, this isolates variables one or two at a time rather than telling coherent stories. Reach for it once the base case is stable enough to flex.

## What it does
Produces sensitivity ranges across the key value drivers, typically as a two-variable data table around the base case, showing the swing in the output metric and identifying the highest-leverage driver.

## Method
1. Fix the base case and the single output metric that matters.
   - Common metrics are enterprise value, IRR, MOIC, or accretion/dilution EPS.
   - Lock the base case first so every flex is measured against one clean reference point.

2. List the candidate drivers and rank them by expected leverage.
Back to top