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 MilkyWay008/Hermes-OTG --skill xlsxgit clone --depth 1 https://github.com/MilkyWay008/Hermes-OTGWrote 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/milkyway008/hermes-otg/xlsx)<a href="https://agentmods.dev/skills/milkyway008/hermes-otg/xlsx"><img src="https://agentmods.dev/badge/skills/milkyway008/hermes-otg/xlsx/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/milkyway008/hermes-otg/xlsx"><img src="https://agentmods.dev/badge/skills/milkyway008/hermes-otg/xlsx.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 | $0.00015 | $0.02238 |
| Opus 5 | $0.00008 | $0.01119 |
| Sonnet 5 | $0.00003 | $0.00448 |
| Haiku 4.5 | $0.00002 | $0.00224 |
Grade B, and why
xlsx scanned grade B 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 9d 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.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
which soffice || sudo apt install -y libreoffice # formula recalculation (scripts/recalc.py) This is a copy
80% identical to xlsx — 95 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.
XLSX Skill
Create, read, and edit Excel workbooks — formulas, formatting, charts, data cleaning, and format conversion. Every formula-bearing output must be recalculated and error-free before delivery.
When to Use
Use this skill any time a spreadsheet file is the primary input or output: opening, reading, editing, or fixing an existing .xlsx, .xlsm, .xltx, .csv, or .tsv file; creating a new spreadsheet from scratch or from other data; converting between tabular formats; cleaning messy tabular data into a proper spreadsheet. Trigger whenever the user references a spreadsheet file by name or path — even casually. Do NOT trigger when the deliverable is a Word document (docx skill), HTML report, standalone script, or Google Sheets API integration. For finance-grade modeling conventions (DCF, LBO, three-statement), the optional excel-author skill adds stricter standards on top of this one.
Prerequisites
pip install openpyxl pandas "markitdown[xlsx]"
which soffice || sudo apt install -y libreoffice # formula recalculation (scripts/recalc.py)
macOS: brew install libreoffice.
Quick Reference
| Task | Approach |
|---|---|
| Create or edit with formulas/formatting | openpyxl — see gotchas below |
| Bulk data in or out | pandas (read_excel, to_excel) |
| Quick look at a sheet | markitdown file.xlsx — ## SheetName per sheet; reads .xlsm too. No cell coordinates, so don't plan edits from it. (read_file also auto-extracts .xlsx) |
| Read a model (formulas and values) | two load_workbook passes — see gotchas |
Script paths below are relative to this skill's directory.
Requirements for every output
- Professional font (Arial, Times New Roman) throughout, unless the user says otherwise.
- Zero formula errors. Never ship while
recalc.pyreportserrors_found. If you think an error predates you, prove it: load the original withdata_only=Trueand look at that cell. An error you introduced looks exactly like one you inherited. - Use formulas, never hardcoded results. Write
sheet['B10'] = '=SUM(B2:B9)', not the Python-computed total. The sheet must recalculate when its inputs change. - Follow the user's spec literally. Exact tab names, exact column headers, and the formula they spelled out. A redesign that computes something else fails, however elegant.
- Document every assumption and hardcoded number where the reader will see it — a cell comment, or an adjacent cell at a table's end. Cite a real source when one exists; when the number came from the user, say so plainly.
- A workbook you create for someone to fill in needs a short legend naming which cells to edit, and one example row of realistic values showing the expected format. Never add such a row to a file you were asked to edit.
- Editing an existing file: match its conventions exactly. They override every guideline here. Find its designated input cells first — a distinct font color, fill, or shading marks them — write only there, and leave every existing formula untouched.
What ships with it
3 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.
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.
- 9d ago First seen · 106 lines · 15 tokens per session scan B 5fb6612978ef
xlsx is a skill published in the GitHub repository MilkyWay008/Hermes-OTG (15 stars, last pushed 29d ago), licensed MIT. It adds 15 tokens to every session and 2,238 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it B with 1 finding (asks for root). It is 80% identical to xlsx, differing in 95 lines, and is treated as a copy.
Other skills, from other repositories
xlsx
Create, inspect, edit, restructure, recalculate, convert, and visually verify Excel .xlsx workbooks and CSV data.
document-exports
Generate and TEST downloadable document exports (PDF/CSV) from a Node/Express backend — pdfkit streaming, CSV BOM, cents formatting, and the supertest/pdfkit pitfalls that silently break tests.
xlsx-data-wrangling
Query, validate, clean, and manipulate Excel (.xlsx/.xls) spreadsheets programmatically without GUI using pandas, openpyxl, and polars.
google-workspace
Gmail, Calendar, Drive, Contacts, Sheets, and Docs — through Hermes-managed OAuth and a thin CLI wrapper. When gws is installed, the skill uses it as the execution backend for broader Google Workspace coverage; otherwise it falls back to the bundled Python client implementation.
livestock-archive-auditor
An audit assistant that compares livestock-farm Excel records with daily production reports.
comps-analysis
Build comparable company analysis in Excel — operating metrics, valuation multiples, statistical benchmarking vs peer sets. Pairs with excel-author. Use for public-company valuation, IPO pricing, sector benchmarking, or outlier detection.