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Scenario analysis

Skill m-binimran/finance-pack/skills/scenario-analysis

Claude Code pack for financial analysts: data-integrity (citation), SEC/FINRA disclaimer, projection-labeling & MNPI/PII guardrails + skills for statement analysis, ratios, DCF/comps valuation, modeling, earnings, forecasting & FP&A, loops & review agents. Not investment advice.

Install
npx -y skills add m-binimran/finance-pack --skill scenario-analysis

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 2 stars2 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Build scenario and sensitivity analysis - bull/base/bear cases and sensitivity tables on key drivers. Use to stress-test a model, valuation, or forecast and show the range of outcomes.

SKILL.md

1.3 KB, as published. Nobody here has run it

scenario-analysis

One number is a guess; a range with drivers is analysis. Show what swings the outcome.

Process

  1. Identify the key drivers that move the result most (growth, margin, WACC, multiple, churn).
  2. Sensitivity: vary one (or two, as a table) and show the output's response - e.g. value per share across a WACC x terminal-growth grid. This exposes how fragile the answer is.
  3. Scenarios: coherent bull / base / bear - each a consistent set of assumptions (not just +/- 10%), with a brief story for why.
  4. Probability-weight (optional): rough odds on each scenario for an expected value - clearly subjective.
  5. Takeaway: the range of outcomes, what you'd need to believe for each, and the asymmetry (up vs. down).

Output

  • A sensitivity table + bull/base/bear scenarios (assumptions + outputs) + the key swing factors and the risk/reward asymmetry. All labeled as estimates.

Guardrails

  • Scenarios are estimates with stated assumptions (projections-assumptions).
  • Don't present the base case as "the answer" - the point is the range and what drives it.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.