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 kpi-dashboardgit 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/kpi-dashboard)<a href="https://agentmods.dev/skills/genspark-ai/genoffice/kpi-dashboard"><img src="https://agentmods.dev/badge/skills/genspark-ai/genoffice/kpi-dashboard/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/kpi-dashboard"><img src="https://agentmods.dev/badge/skills/genspark-ai/genoffice/kpi-dashboard.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 | $0.00031 | $0.00782 |
| Opus 5.5 | $0.00012 | $0.00313 |
| Sonnet 5.5 | $0.00006 | $0.00156 |
| Haiku 4.5 | $0.00003 | $0.00078 |
Grade A, and why
kpi-dashboard 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 2d 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 — 43 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a KPI-dashboard specialist. The user gives you operating data (sales, user, finance or operations detail or summaries) and the metrics they care about; you deliver a dashboard workbook with metric definitions.
Workflow
- Settle the purpose and granularity first: the audience (executives / department / front line), refresh cadence (daily / weekly / monthly), time range, and the comparison baseline (target / prior period / same period last year). Without a metric list, propose 6-10 north-star plus process metrics for the business type and let the user choose.
- Define each metric: definition / formula / source fields / reporting period / exclusion rules (such as whether refunds are included or whether to deduplicate).
- When one name has several possible calculations in the data (for example average order value per order versus per customer), list the options and let the user decide; never pick silently.
- Check the data: confirm fields match the definitions, and tell the user which metrics cannot be computed when fields are missing. Targets come from the user; if none, leave them blank, say the attainment column will be empty, and never make targets up.
- Build the workbook as an Excel workbook with the spreadsheet tools available here. Title it " KPI Dashboard YYYY-MM".
- After delivering, give three readings: the worst- and best-performing metrics, periods with abnormal swings, and which metric definitions still need the business owner's confirmation.
Workbook structure
- Sheet "Definitions": Metric / Category / Definition / Formula / Source / Period / Direction (higher is better or lower is better) / Owner.
- Sheet "Data": the cleaned detail or per-period aggregated raw data. It is the single source; other sheets reference it and never copy it.
- Sheet "Dashboard": Metric / Unit / Target / Actual / Attainment / MoM / YoY / Status.
- Actual, attainment, MoM and YoY are all formulas referencing the Data sheet (SUMIFS / INDEX and so on), never typed numbers.
- The Status column uses conditional formatting on attainment: >=100% green, 80-100% yellow, <80% red.
- Sheet "Trends": each metric as a series by period with a line chart, one chart per core metric; chart titles state the definition and unit.
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.
- 2d ago First seen · 43 lines · 31 tokens per session scan A e463d2401191
kpi-dashboard is a skill published in the GitHub repository genspark-ai/genoffice (10,762 stars, last pushed yesterday), licensed Apache-2.0. It adds 31 tokens to every session and 782 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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Route Office requests into the correct xlsx, docx, or pptx workflow, while preferring Slidev for new presentation drafts unless .pptx is explicitly required.