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 agentmods add commands/spillwavesolutions/automating-mac-apps-plugin/csv-to-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/commands/spillwavesolutions/automating-mac-apps-plugin/csv-to-excel)<a href="https://agentmods.dev/commands/spillwavesolutions/automating-mac-apps-plugin/csv-to-excel"><img src="https://agentmods.dev/badge/commands/spillwavesolutions/automating-mac-apps-plugin/csv-to-excel.svg" alt="Measured on agentmods" 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 | $0.00013 | $0.00248 |
| Opus 5 | $0.00006 | $0.00124 |
| Sonnet 5 | $0.00003 | $0.00050 |
| Haiku 4.5 | $0.00001 | $0.00025 |
Grade A, and why
csv-to-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 3d 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
CSV to Excel
Converts a CSV into a formatted Excel document. This command triggers the Excel import agent for reliable formatting.
Usage
/csv-to-excel --file /path/to/input.csv
/csv-to-excel --file /path/to/input.csv --output /path/to/output.xlsx
Behavior
- Opens Excel and imports the CSV.
- Applies basic formatting (headers, column widths, number formats).
- Saves to the output path if provided.
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.
- 3d ago First seen · 39 lines · 13 tokens per session scan A 5b9fa4613c84
csv-to-excel is a command published in the GitHub repository SpillwaveSolutions/automating-mac-apps-plugin (40 stars, last pushed 12d ago), licensed MIT. It adds 13 tokens to every session and 248 once invoked, about $0.0001 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.
Other commands, from other repositories
save-chat
Save the current conversation to a document file.
raw-export
Export raw conversation data directly from JSONL session files.
export
Export a conversation to Notion or Feishu.
clean
Turn messy or multi-format CSV exports into one clean, categorized, analysis-ready file.
prompt
System instructions for writing effective prompts. Apply when generating commands, skills, agents, or any LLM instructions.
check
Read jobtracker.csv and count the data rows (lines past the header).