A guide for creating, editing, analyzing, and converting Excel workbooks and other spreadsheet files. It covers formulas, formatting, multiple sheets, and tabular data cleanup.

Use it to build financial models, clean CSV or TSV data, inspect workbooks, and create formatted Excel reports.

It helps produce usable spreadsheets while avoiding broken formulas, hardcoded results, formatting problems, and calculation errors.

xlsx — Skill for Claude Code by K-Dense-AI

About the project

Scientific Agent Skills is a collection of reusable procedures that give AI agents capabilities for scientific research across areas such as biology, chemistry, medicine, and drug discovery. It is used by researchers and by people building AI scientist workflows with compatible coding agents. The catalogue contains many of the project's skills and supporting instructions.

K-Dense-AI/scientific-agent-skills · 44,220 stars · on GitHub · arxiv.org

Install

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.

Any agent

npx skills add K-Dense-AI/scientific-agent-skills --skill xlsx

Clone the repo

git clone --depth 1 https://github.com/K-Dense-AI/scientific-agent-skills

Made for: Claude Code.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/k-dense-ai/scientific-agent-skills/xlsx/github.svg)](https://agentmods.dev/skills/k-dense-ai/scientific-agent-skills/xlsx)

Your own site

<a href="https://agentmods.dev/skills/k-dense-ai/scientific-agent-skills/xlsx"><img src="https://agentmods.dev/badge/skills/k-dense-ai/scientific-agent-skills/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/k-dense-ai/scientific-agent-skills/xlsx"><img src="https://agentmods.dev/badge/skills/k-dense-ai/scientific-agent-skills/xlsx.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 94 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,163 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

Socket pass 9 Apr 2026
Snyk pass 9 Apr 2026
NVIDIA SkillSpector pass 7 Sept 2026

How audits are shown

Origin original No closer match found in the catalogue.

Token cost

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	$0.00094	$0.02163
Opus 5	$0.00047	$0.01081
Sonnet 5	$0.00019	$0.00433
Haiku 4.5	$0.00009	$0.00216

Measured 8d ago against content hash c7b90295b8cf, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

xlsx 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 8d ago.

The scan reads SKILL.md. This mod also ships 12 executable files (scripts/office/helpers/__init__.py, scripts/office/helpers/pptx_chart.py, scripts/office/helpers/pptx_slide.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Origin

Copies of this mod

8 near-identical copies found in the catalogue:

xlsx — 97% identical, 4 lines differ
xlsx — 84% identical, 15 lines differ
xlsx — 84% identical, 15 lines differ
xlsx — 84% identical, 15 lines differ
xlsx — 84% identical, 15 lines differ
xlsx — 84% identical, 15 lines differ
xlsx — 84% identical, 15 lines differ
xlsx — 84% identical, 15 lines differ

skills/xlsx/SKILL.md · 111 lines

How it starts

The opening of the file, as written. The whole thing — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.

XLSX creation, editing, and analysis

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 a model (formulas and values)	two `load_workbook` passes — see gotchas

openpyxl, pandas, and markitdown are preinstalled — do not run uv pip install first; write the script and import directly. Only if an import fails (or the markitdown command is missing): uv pip install the missing package.

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.py reports errors_found. If you think an error predates you, prove it: load the original with data_only=True and 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 (Source: Company 10-K, FY2024, Page 45, Revenue Note, [SEC EDGAR URL]); 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.

Read the full file on GitHub · 111 lines

Files

What ships with it

52 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.

Changes

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.

8d ago First seen · 111 lines · 94 tokens per session scan A c7b90295b8cf

Subscribe to this mod's changes

xlsx is a skill published in the GitHub repository K-Dense-AI/scientific-agent-skills (44,220 stars, last pushed 4d ago), licensed MIT. It adds 94 tokens to every session and 2,163 once invoked, about $0.0005 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 2026-09-03.

Documents Spreadsheets ai-scientist bioinformatics chemoinformatics claude claude-skills claudecode

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