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 Orkas-AI/Orkas-Awesome-AgentSkills --skill office-excelgit clone --depth 1 https://github.com/Orkas-AI/Orkas-Awesome-AgentSkillsWrote 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/orkas-ai/orkas-awesome-agentskills/office-excel)<a href="https://agentmods.dev/skills/orkas-ai/orkas-awesome-agentskills/office-excel"><img src="https://agentmods.dev/badge/skills/orkas-ai/orkas-awesome-agentskills/office-excel/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/orkas-ai/orkas-awesome-agentskills/office-excel"><img src="https://agentmods.dev/badge/skills/orkas-ai/orkas-awesome-agentskills/office-excel.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 | $0.00003 | $0.00899 |
| Opus 5 | $0.00002 | $0.00449 |
| Sonnet 5 | $0.00001 | $0.00180 |
| Haiku 4.5 | $0.00000 | $0.00090 |
Grade A, and why
office-excel 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 12d 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 — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Office Excel
When to Use
Use when the main artifact is an Excel workbook, .xlsx, .xlsm, .xls, .csv, .tsv, or spreadsheet-like deliverable.
Use especially when formulas, dates, number formats, merged cells, workbook structure, validation rules, print settings, or cross-platform behavior matter.
Do not use for general data analysis unless the output must be a spreadsheet artifact.
Workflow
- Classify the job: inspect, clean data, create workbook, edit template, add formulas, preserve formatting, export CSV, or prepare delivery.
- Choose the tool by job:
- Use
pandasfor tabular analysis, reshaping, joins, aggregation, and CSV-like tasks. - Use
openpyxlor workbook-native tooling when formulas, styles, sheets, comments, merged cells, validations, or template preservation matter.
- Use
- Back up existing workbooks before editing. Avoid flattening formulas by accidentally saving value-only reads.
- Preserve workbook structure: sheet order, widths, hidden rows/columns, merged areas, freezes, filters, named ranges, validations, conditional formatting, print settings, comments, and visual conventions.
- Protect data types before Excel changes them. Store long identifiers, phone numbers, ZIP codes, and leading-zero values as text when appropriate.
- Keep live calculations in formulas when the recipient should be able to audit or update the workbook.
- Before delivery, check representative formulas, copied ranges, denominators, named ranges,
#REF!,#DIV/0!,#VALUE!,#NAME?, stale cached values, clipped labels, wrapped text, and print layout.
Return Format
For a new workbook, return the .xlsx path and summarize sheets, formulas, assumptions, and formatting.
For edits, return the modified workbook path, backup path if created, and a change summary. Mention whether formulas, styles, validations, and print settings were preserved.
For inspections, return key sheets, detected risks, formula/status issues, and recommended fixes.
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.
- 12d ago First seen · 63 lines · 3 tokens per session scan A 01a2a493c4c7
office-excel is a skill published in the GitHub repository Orkas-AI/Orkas-Awesome-AgentSkills (13 stars, last pushed 2mo ago), licensed MIT. It adds 3 tokens to every session and 899 once invoked, about $0.0000 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 2026-08-30.
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