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 senoff/xlsx-for-ai --skill spreadsheetsgit clone --depth 1 https://github.com/senoff/xlsx-for-aiWrote 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/senoff/xlsx-for-ai/spreadsheets)<a href="https://agentmods.dev/skills/senoff/xlsx-for-ai/spreadsheets"><img src="https://agentmods.dev/badge/skills/senoff/xlsx-for-ai/spreadsheets/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/senoff/xlsx-for-ai/spreadsheets"><img src="https://agentmods.dev/badge/skills/senoff/xlsx-for-ai/spreadsheets.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 | $0.00099 | $0.00780 |
| Opus 5.5 | $0.00040 | $0.00312 |
| Sonnet 5.5 | $0.00020 | $0.00156 |
| Haiku 4.5 | $0.00010 | $0.00078 |
Grade A, and why
spreadsheets scanned grade A with 1 finding 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 yesterday.
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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
3. A file on disk: call `xlsx_upload_link`, run the one curl command in its result to send the file (it only moves the bytes), then pass the returned `file_handle` to any tool. Use this route for every .xls. How it starts
The opening of the file, as written. The whole thing — 46 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Spreadsheets: xlsx-for-ai
Use these tools when the answer depends on formula results, on whether saved values are current, or on handing back a working spreadsheet file. With or without formulas, they also clean data, find and redact personal data, scan for hidden content, read styles and validations, compare versions and write a real .xlsx back. All work runs on the hosted xlsx-for-ai server. Nothing from xlsx-for-ai runs on this machine. Data handling: https://xlsx-for-ai.dev/privacy/
A local conversion keeps only the last saved values, which may be missing or stale. These tools recalculate formulas with a real engine, and a function not served yet returns an error saying so. Old .xls files are read directly.
Hand the file over
- A link (https, Google Sheets, Drive, Dropbox, OneDrive): pass it as
file_urlexactly as given. A Google Sheet must be shared as "Anyone with the link can view". - A small CSV or TSV you can read in full: pass
file_textplusfile_name. - A file on disk: call
xlsx_upload_link, run the one curl command in its result to send the file (it only moves the bytes), then pass the returnedfile_handleto any tool. Use this route for every .xls. - Only if those fail: show the user the upload page link from
xlsx_upload_linkand ask them to drop the file there.
Never base64-encode a workbook into a tool argument and never pass a local file path.
Pick the tool
- Read and inspect:
xlsx_read,xlsx_list_sheets,xlsx_topology,xlsx_formulas, and the inspectors for styles, tables, names, charts, comments and more. - Recalculate and check:
xlsx_eval(fresh results, not cached values),xlsx_check,xlsx_doctor,xlsx_validate,csv_check. - Compare two versions:
xlsx_diff. - Clean and fix:
xlsx_data_cleanand thexlsx_healer_*tools. - Write and convert:
xlsx_write(formulas kept),xlsx_convert. - Privacy:
xlsx_pii_scan,xlsx_pii_clean,xlsx_redact,xlsx_vault_scan,xlsx_vault_cure. - Integrity and receipts:
xlsx_receipt,xlsx_stampand their verify tools.
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.
- yesterday Changed · -15 tokens per session 141c0f5cf0f3
- 5d ago Changed · +4 lines 76dafd829893
- 7d ago First seen · 42 lines · 114 tokens per session scan A 63b405ce7125
spreadsheets is a skill published in the GitHub repository senoff/xlsx-for-ai (6 stars, last pushed yesterday), licensed MIT. It adds 99 tokens to every session and 780 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-09.
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