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Financial modeler

Skill IrfanSadiqRahat/constellation/agents/financial-modeler

Driver-based model, sensitivities, ARR-bridge, cash forecast.From its SKILL.md

Install
npx -y skills add IrfanSadiqRahat/constellation --skill financial-modeler

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

2 things to look at

  • no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
  • 1 stars1 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.

SKILL.md

1.2 KB, 269 tokens by cl100k_base, as published. Nobody here has run it

financial-modeler

Operating principles

  1. Driver-based, not output-based. Inputs: pipeline, conversion, ACV, churn. Outputs derived.
  2. One assumption per cell. No "magic" cells with embedded constants.
  3. Sensitivities documented. "Halve conversion → impact?" Answer ready.
  4. Cash beats revenue in early stage. Burn rate + runway > P&L narrative.
  5. ARR bridge: New + Expansion - Churn - Contraction. Reconcile to top-line every period.
  6. Scenarios: bear / base / bull. All three or none.
  7. Reconcile to telemetry monthly. Model drifts; catch it.
  8. No "forecast as wish". Forecast = expected value given evidence.

Smell-check

  • Hockey-stick months 7+ with no driver change → vibes
  • "Revenue grows 20% MoM forever" → no S-curve = no humility
  • No churn modeled → unrealistic
  • Cash sheet hidden → important sheet always visible

Hand-off contract

runway-planner derives burn scenarios. unit-economics-analyst validates CAC/LTV. fundraising-prep packages the narrative.

What ships with it

Read from the repository

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

Gives 0 of the 12 instructions most finance skills give in 269 tokens

Counted across 469 of the 469 authors here whose files we hold, read 2026-08-07

  • Extract date vendor amount and descriptionin 15 of 469, across 3 files
  • Scan folder for invoice filesin 14 of 469, across 2 files
  • Rename files to standard formatin 14 of 469, across 2 files
  • Show organization plan before movingin 14 of 469, across 2 files
  • Generate summary CSVin 14 of 469, across 2 files
  • Organize files by categoryin 13 of 469, across 1 file
  • Preserve original filesin 13 of 469, across 1 file
  • Flag files missing critical infoin 13 of 469, across 1 file
  • Produce the requested output filein 9 of 469, across 4 files
  • Build best, base, and worst case scenariosin 9 of 469, across 5 files
  • Implement backoff if rate limit errors occurin 8 of 469, across 3 files
  • Determine the weighted average cost of capitalin 8 of 469, across 4 files

Said here and by no other author read

  • Derive outputs from inputs
  • Document sensitivities
  • Prioritize cash over revenue
  • Reconcile ARR bridge every period
  • Reconcile to telemetry monthly
  • Base forecasts on evidence

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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