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Cfo review

Skill sinhoneyy/master-skills/plugins/master-skills-backend-engineer/skills/cfo-review

/cs:cfo-review <plan> — Numerate-skeptic interrogation of any plan that touches money. Unit economics, runway, dilution, capital allocation. Use when a plan commits meaningful spend — e.g. a hiring wave, a fundraise decision, or a new channel budget.From its SKILL.md

Install
npx -y skills add sinhoneyy/master-skills --skill cfo-review

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SKILL.md

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/cs:cfo-review — CFO Forcing Questions

Command: /cs:cfo-review <plan>

The numerate skeptic stress-tests anything that touches money. Six questions before any spend or fundraise.

When to Run

  • Before approving any spend > 1% of revenue
  • Before opening a new hiring requisition
  • Before any fundraise conversation
  • Before changing pricing or unit economics
  • Before signing a multi-year contract

The Six CFO Questions

1. Burn & Runway

What's the burn multiple and how many months of cash remain at base / bull / bear?

  • Burn multiple = Net burn ÷ Net new ARR. Above 2x is a problem.
  • If bear case < 12 months, you're already in fundraising mode.

2. Unit Economics

What is LTV / CAC per channel, and what's the payback period on the top-2 channels?

  • LTV / CAC > 3x is healthy. Payback < 12 months is healthy.
  • If either is broken, do not scale that channel.

3. Dilution Path

If this plan requires a raise, what's the dilution at base and bear valuations?

  • Founder dilution per round.
  • Cumulative dilution to next 2 rounds.

4. Capital Allocation Alternative

If this dollar wasn't spent here, where else could it go and what's the expected return?

  • Three alternatives: hiring, product, marketing.
  • Make the opportunity cost explicit.

5. Revenue Quality

What's the gross margin, and how does it trend at scale?

  • If margin compresses with scale, the model is broken.
  • Cost-of-revenue should grow slower than revenue.

6. Bear Case Survival

If revenue is 50% of plan, does the company survive 18 months?

  • Default-alive is non-negotiable.
  • If not, identify the cut triggers in advance.

Workflow

  1. Run the numbers:
    python ../../../skills/cfo-advisor/scripts/burn_rate_calculator.py
    python ../../../skills/cfo-advisor/scripts/unit_economics_analyzer.py
    python ../../../skills/cfo-advisor/scripts/fundraising_model.py
    
  2. Answer all six questions with numbers, not adjectives.
  3. Apply the verdict:
    • 🟢 GREEN — fund it
    • 🟡 YELLOW — fund with cut triggers
    • 🔴 RED — kill or revise

Output Format

# CFO Review: <plan>
**Date:** YYYY-MM-DD
**Reviewer:** cs-cfo-advisor

## Numbers
- Burn multiple: X.Xx
- Runway (base/bull/bear): X / X / X months
- LTV/CAC top channel: X.Xx, payback Y months
- Gross margin: X% (trend: Y)
- Dilution this round: X%
- Bear-case survival: PASS / FAIL

## Verdict
🟢 GREEN | 🟡 YELLOW | 🔴 RED

## Conditions (if YELLOW)
- Cut trigger: <metric> < <threshold> → <action>
- Review checkpoint: <date>

## Recommendation
[3 concrete next steps]

Routing

  • /cs:decide — log the verdict
  • /cs:execute — build 90-day plan if GREEN
  • /cs:boardroom — escalate if multi-role implications

Related


Version: 1.0.0

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Gives 0 of the 12 instructions most review quality skills give in 799 tokens

Counted across 1,048 of the 1,783 authors here whose files we hold, read 2026-08-07

  • Ask questions one at a timein 81 of 1048, across 64 files
  • Provide a recommended answer for each questionin 73 of 1048, across 50 files
  • Explore the codebase instead of asking answerable questionsin 66 of 1048, across 42 files
  • Resolve dependencies between decisions one-by-onein 42 of 1048, across 17 files
  • Interview the user relentlessly about the planin 38 of 1048, across 13 files
  • Order findings by severityin 31 of 1048
  • Resolve each branch of the decision treein 27 of 1048, across 5 files
  • Run a grilling sessionin 26 of 1048, across 5 files
  • Update CONTEXT.md immediately when a term is resolvedin 26 of 1048, across 11 files
  • Propose precise canonical terms for vague languagein 25 of 1048, across 7 files
  • Create documentation files lazilyin 24 of 1048, across 5 files
  • Assign severity to every findingin 24 of 1048

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

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