officecli-financial-model

officecli-financial-model is a skill for Claude Code, Codex from iOfficeAI/OfficeCLI. It costs 222 tokens per session (13,750 once invoked), scanned A, original, Apache-2.0.

A set of instructions for building financial models in Excel, including three-statement models, discounted cash flow valuations, leveraged buyout models, and SaaS unit economics. It also covers projections, scenarios, sensitivities, and debt schedules.

In plain words
What is it for?
Use it to model a company's profit and loss, balance sheet, and cash flow; estimate value; analyze funding or debt; and compare financial scenarios.
Why use it?
It provides a structured way to connect assumptions, formulas, statements, and valuation calculations so financial projections are easier to inspect and review.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: positional $N argument.

Good fit Use it to model a company's profit and loss, balance sheet, and cash flow; estimate value; analyze funding or debt; and compare financial scenarios.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/iofficeai/officecli/officecli-financial-model
About the project

OfficeCLI is a standalone command-line Office suite that lets AI agents read, edit, render, and automate Word, Excel, and PowerPoint files without requiring Microsoft Office. Developers and other users employ it to create and inspect documents through commands, with HTML or PNG rendering supporting visual review. The catalogue skills teach coding agents how to install and use OfficeCLI.

iOfficeAI/OfficeCLI · 32,052 stars · on GitHub · officecli.ai

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 iOfficeAI/OfficeCLI --skill officecli-financial-model
Clone the repo
git clone --depth 1 https://github.com/iOfficeAI/OfficeCLI

Made for: Claude Code, Codex.

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 officecli-financial-model

README.md
[![agentmods](https://agentmods.dev/badge/skills/iofficeai/officecli/officecli-financial-model/github.svg)](https://agentmods.dev/skills/iofficeai/officecli/officecli-financial-model)
Your own site
<a href="https://agentmods.dev/skills/iofficeai/officecli/officecli-financial-model"><img src="https://agentmods.dev/badge/skills/iofficeai/officecli/officecli-financial-model/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for officecli-financial-model

Your own site · 80×15
<a href="https://agentmods.dev/skills/iofficeai/officecli/officecli-financial-model"><img src="https://agentmods.dev/badge/skills/iofficeai/officecli/officecli-financial-model.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 222 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 13,750 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. ✓ AI security review Sonnet 5 · 6 Sept 2026 📄 Read the review Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 4 findings, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Supply Chain · line 16
    Remote code is downloaded and executed. This bypasses code review and could introduce malicious code.
    Fix: Avoid downloading and executing remote scripts. Use trusted packages from PyPI/npm. If remote fetch is required, verify checksums and use HTTPS.
  • medium analysis-evasion · line 1
    Suspicious Unicode normalization or mixed-script content
    Fix: Review the flagged content for security risks. Ensure no credentials, secrets, or sensitive data are exposed.
  • medium Agent Snooping · line 10
    Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.
    Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
  • medium Agent Snooping · line 27
    Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.
    Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
How audits are shown
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 $0.00222 $0.13750
Opus 5.5 $0.00089 $0.05500
Sonnet 5.5 $0.00044 $0.02750
Haiku 4.5 $0.00022 $0.01375

Measured 1mo ago against content hash 65280bce9537, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

officecli-financial-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 1mo 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.

Origin

Copies of this mod

2 near-identical copies found in the catalogue:

skills/officecli-financial-model/SKILL.md · 561 lines

How it starts

The opening of the file, as written. The whole thing — 561 lines — stays where its author put it; the contents beside it link to each section on GitHub.

OfficeCLI Financial-Model Skill

This skill is a scene layer on top of officecli-xlsx. Every xlsx hard rule — shell quoting, incremental execution, Help-First Rule, visual delivery floor, CFO 4-color code (blue input / black formula / green cross-sheet / yellow-fill assumption), number-format standards (years as text, zero as -, % one decimal, negatives in parens), assumption-cell discipline, CSV batch import, chart data-feed forms (a/b/c), the 5-gate Delivery cycle, cache-drift guidance, Known Issues (the cross-sheet ! trap, batch + resident for formulas, renderer caveats) — is inherited, not re-taught. This file adds only what a financial model requires on top: three-zone architecture, 3 model-type recipes (3-statement / DCF / LBO), sensitivity + scenario protocols, financial-function patterns, circular-reference discipline, and model-specific Delivery Gates 4–6.

When the xlsx base rules cover it, the text here says → see xlsx v2 §X. Read skills/officecli-xlsx/SKILL.md first if you have not.

Setup

If officecli is missing:

  • macOS / Linux: curl -fsSL https://d.officecli.ai/install.sh | bash
  • Windows (PowerShell): irm https://d.officecli.ai/install.ps1 | iex

Verify with officecli --version (open a new terminal if PATH hasn't picked up). If install fails, download a binary from https://github.com/iOfficeAI/OfficeCLI/releases.

Help-First Rule

This skill teaches what a financial model requires, not every CLI flag. When a prop name / alias / enum is uncertain, consult help BEFORE guessing: officecli help xlsx [element] [--json]. Help is authoritative for the installed version — when this skill and help disagree, help wins. Every --prop X= below was verified against officecli help xlsx <element>.

Mental Model & Inheritance

Inherits xlsx v2. Read skills/officecli-xlsx/SKILL.md first. This skill assumes you know create / open / close, set values/formulas, batch heredocs for cross-sheet formulas, /SheetName/A1 paths, named ranges, the 5-gate Delivery cycle, the cross-sheet ! trap, and that cross-sheet formulas go non-resident (single batch OR individual set), never batch-while-resident.

Read the full file on GitHub · 561 lines

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. 1mo ago First seen · 561 lines · 222 tokens per session scan C 65280bce9537

Subscribe to this mod's changes

officecli-financial-model is a skill published in the GitHub repository iOfficeAI/OfficeCLI (32,052 stars, last pushed 3d ago), licensed Apache-2.0. It adds 222 tokens to every session and 13,750 once invoked, about $0.0009 per session on Opus 5.5. 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 2026-08-30.

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