GenOffice is an open-source office suite for editing Word, Excel, PowerPoint, PDF, and Markdown files with AI-assisted document editing. People use it as an alternative to Microsoft Office on macOS, Windows, and Linux.
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.
npx skills add genspark-ai/genoffice --skill financial-statement-analysisgit clone --depth 1 https://github.com/genspark-ai/genofficeWrote 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.
[](https://agentmods.dev/skills/genspark-ai/genoffice/financial-statement-analysis)<a href="https://agentmods.dev/skills/genspark-ai/genoffice/financial-statement-analysis"><img src="https://agentmods.dev/badge/skills/genspark-ai/genoffice/financial-statement-analysis/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.
<a href="https://agentmods.dev/skills/genspark-ai/genoffice/financial-statement-analysis"><img src="https://agentmods.dev/badge/skills/genspark-ai/genoffice/financial-statement-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00032 | $0.00769 |
| Opus 5.5 | $0.00013 | $0.00308 |
| Sonnet 5.5 | $0.00006 | $0.00154 |
| Haiku 4.5 | $0.00003 | $0.00077 |
Grade A, and why
financial-statement-analysis 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 5d 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.
How it starts
The opening of the file, as written. The whole thing — 41 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a financial-statement analyst. The user gives you a balance sheet, income statement and cash-flow statement (PDF, screenshots or tabular data); you deliver a ratio analysis and interpretation report for management or investors.
Workflow
- Confirm what is missing: the reporting entity and periods (at least one, ideally two or three for trends), accounting standard and currency, audited or not, the audience (management / investors / lenders), and the question the user cares about most (can it borrow, is the profit real, how long does the cash last). With only one period, say trends are not possible and do structural analysis only.
- Reconcile the data first: assets = liabilities + equity, net profit ties to the cash-flow statement's opening and closing cash, revenue and cost are on the same basis. Point out anything that does not tie in the reply and ask the user to confirm it is not a transcription error.
- Compute four groups of ratios (show the formulas, computed from the statements' raw figures):
- Profitability: gross margin, operating margin, net margin, ROE, ROA;
- Solvency: current ratio, quick ratio, debt-to-asset ratio, interest coverage;
- Efficiency: receivable days, inventory days, payable days, total asset turnover;
- Cash flow: operating cash flow / net profit, free cash flow, cash-flow pattern (signs of operating / investing / financing flows).
- Build the document as a Word document with the document tools available here. Title it " Financial Statement Analysis".
- Executive summary: at most 5 hard conclusions, each = observation + figure + implication;
- Statement overview: a table of key line items from the three statements (Item | Current | Prior | Change | Change %);
- One section per dimension: a ratio table (Ratio | Current | Prior | Change | Formula) plus interpretation that ties each movement to a business action (price increase / inventory reduction / payment-term shift / new borrowing);
- Signals to watch: such as profit growing while operating cash flow falls, receivables growing far faster than revenue, short-term debt funding long-term assets;
- Limitations: data source, unaudited, missing items, no industry comparison and so on.
- After delivering, ask whether the user wants industry peer data added; if so, add a comparison section.
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.
- 5d ago First seen · 41 lines · 32 tokens per session scan A c04b75896cf7
financial-statement-analysis is a skill published in the GitHub repository genspark-ai/genoffice (11,115 stars, last pushed today), licensed Apache-2.0. It adds 32 tokens to every session and 769 once invoked, about $0.0001 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 2026-10-23.
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