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 SpillwaveSolutions/automating-mac-apps-plugin --skill automating-excelgit clone --depth 1 https://github.com/SpillwaveSolutions/automating-mac-apps-pluginWrote 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/spillwavesolutions/automating-mac-apps-plugin/automating-excel)<a href="https://agentmods.dev/skills/spillwavesolutions/automating-mac-apps-plugin/automating-excel"><img src="https://agentmods.dev/badge/skills/spillwavesolutions/automating-mac-apps-plugin/automating-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/spillwavesolutions/automating-mac-apps-plugin/automating-excel"><img src="https://agentmods.dev/badge/skills/spillwavesolutions/automating-mac-apps-plugin/automating-excel.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00075 | $0.00751 |
| Opus 5.5 | $0.00030 | $0.00300 |
| Sonnet 5.5 | $0.00015 | $0.00150 |
| Haiku 4.5 | $0.00007 | $0.00075 |
Grade A, and why
automating-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 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.
How it starts
The opening of the file, as written. The whole thing — 78 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Automating Excel (JXA-first, AppleScript discovery)
Relationship to the macOS automation skill
- Standalone for Excel, but aligned with
automating-mac-appspatterns. - Use
automating-mac-appsfor permissions, shell, and UI scripting guidance. - PyXA Installation: To use PyXA examples in this skill, see the installation instructions in
automating-mac-appsskill (PyXA Installation section).
Core Framing
- Excel AppleScript dictionary is AppleScript-first; use Script Editor for discovery.
- JXA is the production language for logic and data processing.
- Collections are specifiers; read via methods, set via assignments.
- Handle errors from Excel operations using try/catch blocks and Application error checking.
Workflow (default)
- Discover dictionary terms in Script Editor (Excel).
- Prototype a minimal AppleScript command.
- Port to JXA and add defensive checks.
- Use bulk read/write (2D arrays) for performance.
- Use VBA
run()when dictionary coverage is missing.
Validation Steps
- Test with empty documents to verify error handling
- Verify data integrity after batch operations
- Check Excel UI responsiveness after automation runs
- Log errors with specific Excel object paths for debugging
Examples
Basic workbook read:
const Excel = Application('Microsoft Excel');
const workbook = Excel.workbooks[0];
const worksheet = workbook.worksheets['Sheet1'];
const range = worksheet.ranges['A1:B10'];
const data = range.value(); // Returns 2D array
Bulk write with performance toggle:
Excel.screenUpdating = false;
Excel.calculation = 'manual';
try {
const range = worksheet.ranges['C1:D100'];
range.value = my2DArray;
} finally {
Excel.calculate();
Excel.screenUpdating = true;
}
VBA escape hatch:
Excel.run('MyMacro', {arg1: 'value', arg2: 123}); // Calls VBA subroutine
When Not to Use
- For general macOS automation without Excel involvement
- When AppleScript alone suffices (no JXA logic needed)
- For Excel tasks requiring complex UI interactions (use
automating-mac-appsfor that) - When cross-platform compatibility is required
What ships with it
12 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- references/excel-advanced.md 6.7 KB
- references/excel-basics.md 3.0 KB
- references/excel-charts.md 553 B
- references/excel-dictionary.md 815 B
- references/excel-pivots.md 473 B
- references/excel-pyxa.md 5.0 KB
- references/excel-recipes.md 5.3 KB
- scripts/create_excel_spreadsheet.py 3.6 KB runs code
- scripts/export_excel_to_csv.py 1.8 KB runs code
- scripts/import_csv_to_excel.py 2.7 KB runs code
- scripts/set_up_excel_automation.py 1.0 KB runs code
- scripts/set_up_excel_automation.sh 577 B runs code
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.
- 1mo ago First seen · 78 lines · 75 tokens per session scan A ed6062caa2fb
automating-excel is a skill published in the GitHub repository SpillwaveSolutions/automating-mac-apps-plugin (46 stars, last pushed 2mo ago), licensed MIT. It adds 75 tokens to every session and 751 once invoked, about $0.0003 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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