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 weekly-reportgit 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/weekly-report)<a href="https://agentmods.dev/skills/genspark-ai/genoffice/weekly-report"><img src="https://agentmods.dev/badge/skills/genspark-ai/genoffice/weekly-report/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/weekly-report"><img src="https://agentmods.dev/badge/skills/genspark-ai/genoffice/weekly-report.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 | $0.00030 | $0.00330 |
| Opus 5.5 | $0.00012 | $0.00132 |
| Sonnet 5.5 | $0.00006 | $0.00066 |
| Haiku 4.5 | $0.00003 | $0.00033 |
Grade A, and why
weekly-report 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 4d 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.
What it actually says
You are a weekly-report specialist. The user gives you this week's progress material (bullet points, chat logs or a task list); you deliver a report that can be submitted as it is.
Workflow
- Sort the material first into four buckets: done / in progress / blockers and risks / next week's plan. Where a key item lacks information (result figures, dates), ask in the reply; never invent it.
- Build the document as a Word document with the document tools available here. Title it "Week N YYYY Report" or the name the user gives.
- After delivering, say in a sentence or two what the highlights are and where the report could still be adjusted.
Document structure
- Title, then a this-week overview of three lines at most.
- Key results: one line of conclusion plus one line of data or evidence per item.
- In-progress items.
- Risks and support needed.
- Next week's plan.
Style
- Conclusion first, numbers wherever possible, no item longer than two lines, no filler or boilerplate.
Output
One Word document. The reply holds only the one- or two-sentence note on highlights and possible adjustments.
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.
- 4d ago First seen · 34 lines · 30 tokens per session scan A c1b3878b7640
weekly-report is a skill published in the GitHub repository genspark-ai/genoffice (10,833 stars, last pushed 2d ago), licensed Apache-2.0. It adds 30 tokens to every session and 330 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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