fpa-excel-model

fpa-excel-model is a skill for Claude Code from JeffBrines/openfpa. It costs 67 tokens per session (713 once invoked), scanned A, original, MIT.

A workflow for creating a working Excel version of a financial forecast model. The workbook contains editable assumptions and formulas that recalculate the profit and loss and cash flow when those assumptions change.

In plain words
What is it for?
Use it to export assumptions such as growth, costs, seasonality, payment timing, debt, taxes, depreciation, and capital spending into a recalculating Excel workbook.
Why use it?
It gives finance teams a model they can adjust and share instead of a spreadsheet containing only fixed results. The workbook is checked against the original forecasting engine before delivery.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the openfpa plugin — 14 skills shipped together

Good fit Use it to export assumptions such as growth, costs, seasonality, payment timing, debt, taxes, depreciation, and capital spending into a recalculating Excel workbook.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jeffbrines/openfpa/fpa-excel-model
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add JeffBrines/openfpa --skill fpa-excel-model
Clone the repo
git clone --depth 1 https://github.com/JeffBrines/openfpa

Made for: Claude Code.

Or install openfpa, the plugin that ships this one along with the rest of its 14 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for fpa-excel-model

README.md
[![agentmods](https://agentmods.dev/badge/skills/jeffbrines/openfpa/fpa-excel-model.svg)](https://agentmods.dev/skills/jeffbrines/openfpa/fpa-excel-model)
Your own site
<a href="https://agentmods.dev/skills/jeffbrines/openfpa/fpa-excel-model"><img src="https://agentmods.dev/badge/skills/jeffbrines/openfpa/fpa-excel-model.svg" alt="Measured on agentmods" height="20"></a>
Per session 67 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 713 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00067 $0.00713
Opus 5 $0.00034 $0.00357
Sonnet 5 $0.00013 $0.00143
Haiku 4.5 $0.00007 $0.00071

Measured 8d ago against content hash f30a39442eb4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

fpa-excel-model scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/fpa-excel-model/SKILL.md · 76 lines

What it actually says

Live-Formula Excel Model (Operate)

Overview

Finance professionals ultimately want a workbook where changing an assumption recalculates the model. This skill produces one from the model structure, with named assumption cells and real formulas, then proves it reproduces the engine before it ships. Static value dumps stay with forecast_to_excel; this skill is for living models.

Core principle: no workbook ships unverified. The workbook is generated from the model, never hand-edited values.

The standard model

For the kernel's monthly model, one call:

import pyfpa
cfg = pyfpa.load_config("config.yaml")
pyfpa.model_to_excel(cfg, "model.xlsx")

Or via CLI: python3 -m pyfpa.cli model-export <company-root> --config config.yaml --out model.xlsx.

The workbook has an Assumptions sheet (every driver a named, editable cell: growth, COGS pct, seasonality, DSO/DIO/DPO, debt, tax, D&A, capex) and a Model sheet where every line of the monthly P&L and cash flow is a formula referencing those names.

Any other cadence or layout

Quarterly, weekly, a tab per segment, a lender view: these are YOUR work, not kernel variants. Compose pyfpa.excel.toolkit (add_named_cell, add_named_row, fill_formula_row, formats) in a company-specific exporter under the generated namespace (models/generated/<name>/), then register it:

python3 -m pyfpa.cli entrypoint-register <root> --name excel-quarterly --kind report \
  --description "Quarterly live-formula workbook" \
  --command-json '["python3", "models/generated/<name>/excel_quarterly.py"]'

Keep formulas within the supported vocabulary (arithmetic, ^, SUM, MIN, MAX, IF) so verification works.

Verify before delivering (always)

  1. pip install formulas (verification-only dependency, not shipped at runtime).
  2. report = pyfpa.verify_workbook("model.xlsx", pyfpa.cashflow_from_config(cfg))
    assert report.passed, report.failures
    
  3. For a bespoke exporter, verify against the frame your exporter is meant to reproduce (the engine frame, or its quarterly/weekly aggregation).
  4. A failing report means the exporter is wrong. Fix the formulas, never the tolerance, and never deliver an unverified workbook.

Guardrails

  • No workbook ships unverified.
  • Generated from model structure; never paste computed values into formula cells.
  • Supported formula vocabulary only; if you need a function outside it, restructure the formula (helper rows are fine) rather than expanding the vocabulary.
  • Company-specific exporters live in generated namespaces and get tests like any other generated code.

Next

Workbook delivered, then fpa-board-briefing (the narrative that goes with it).

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 8d ago First seen · 76 lines · 67 tokens per session scan A f30a39442eb4

Subscribe to this mod's changes

fpa-excel-model is a skill published in the GitHub repository JeffBrines/openfpa (6 stars, last pushed 2mo ago), licensed MIT. It adds 67 tokens to every session and 713 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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