xlsx-creator

xlsx-creator is a skill for Claude Code, Codex from Jignesh-Ponamwar/skills-mcp. It costs 89 tokens per session (2,231 once invoked), scanned A, original, Apache-2.0.

A guide to creating and working with Excel workbooks and related spreadsheet files, including CSV and TSV files. It covers data handling, formulas, formatting, charts, and checking formulas for errors.

In plain words
What is it for?
Use it to build financial or data-analysis workbooks, import and export tables, add formulas and charts, format sheets, and check spreadsheet calculations.
Why use it?
It helps produce spreadsheets that remain editable and update when source values change, instead of containing manually calculated results. It also sets consistent formatting and records the sources of fixed values.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to build financial or data-analysis workbooks, import and export tables, add formulas and charts, format sheets, and check spreadsheet calculations.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jignesh-ponamwar/skills-mcp/xlsx-creator
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 Jignesh-Ponamwar/skills-mcp --skill xlsx-creator
Clone the repo
git clone --depth 1 https://github.com/Jignesh-Ponamwar/skills-mcp

Made for: Claude Code, Codex.

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.

agentmods badge for xlsx-creator

README.md
[![agentmods](https://agentmods.dev/badge/skills/jignesh-ponamwar/skills-mcp/xlsx-creator/github.svg)](https://agentmods.dev/skills/jignesh-ponamwar/skills-mcp/xlsx-creator)
Your own site
<a href="https://agentmods.dev/skills/jignesh-ponamwar/skills-mcp/xlsx-creator"><img src="https://agentmods.dev/badge/skills/jignesh-ponamwar/skills-mcp/xlsx-creator/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.

agentmods 80×15 button for xlsx-creator

Your own site · 80×15
<a href="https://agentmods.dev/skills/jignesh-ponamwar/skills-mcp/xlsx-creator"><img src="https://agentmods.dev/badge/skills/jignesh-ponamwar/skills-mcp/xlsx-creator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 89 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,231 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.
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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00089 $0.02231
Opus 5 $0.00044 $0.01115
Sonnet 5 $0.00018 $0.00446
Haiku 4.5 $0.00009 $0.00223

Measured 11d ago against content hash 0cc3c5301776, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

xlsx-creator 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 11d 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.

skill_mcp/skills_data/xlsx-creator/SKILL.md · 241 lines

How it starts

The opening of the file, as written. The whole thing — 241 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Excel Spreadsheet Skill (XLSX)

Professional Standards

  • Zero formula errors - no #REF!, #DIV/0!, #VALUE!, #N/A, or #NAME? errors allowed
  • Always use formulas instead of calculating values in Python and hardcoding them - spreadsheets must remain dynamic
  • Consistent fonts throughout - pick one font family (Calibri 11 or Aptos 11 for Excel defaults)
  • Document hardcoded values with comments including source, date, and reference URL

Tool Selection

Use Case Tool
Data analysis, bulk operations, DataFrame export pandas
Complex formatting, formulas, cell styling openpyxl
Both formatting AND data manipulation Use pandas to build data, openpyxl to format

Step 1: Setup

pip install openpyxl pandas xlsxwriter

Step 2: Create a Spreadsheet with openpyxl

from openpyxl import Workbook
from openpyxl.styles import Font, PatternFill, Alignment, Border, Side, numbers
from openpyxl.utils import get_column_letter
from openpyxl.chart import BarChart, Reference

wb = Workbook()
ws = wb.active
ws.title = "Revenue Model"

# ─── STYLING HELPERS ─────────────────────────────────────────────────────────
HEADER_FONT = Font(name="Calibri", bold=True, size=11, color="FFFFFF")
HEADER_FILL = PatternFill(fill_type="solid", fgColor="1F4E79")  # dark blue
INPUT_FILL = PatternFill(fill_type="solid", fgColor="DDEEFF")   # light blue (inputs)
FORMULA_FILL = PatternFill(fill_type="solid", fgColor="FFFFFF")  # white (formulas)
ASSUMPTION_FILL = PatternFill(fill_type="solid", fgColor="FFFF99") # yellow (key assumptions)

thin = Side(style="thin", color="000000")
BORDER = Border(left=thin, right=thin, top=thin, bottom=thin)

def style_header(cell):
    cell.font = HEADER_FONT
    cell.fill = HEADER_FILL
    cell.alignment = Alignment(horizontal="center", vertical="center")
    cell.border = BORDER

def style_input(cell):
    cell.fill = INPUT_FILL  # blue = hardcoded input (industry standard)
    cell.border = BORDER

def style_formula(cell):
    cell.fill = FORMULA_FILL  # white/black = formula
    cell.border = BORDER

# ─── HEADERS ─────────────────────────────────────────────────────────────────
headers = ["Month", "Units Sold", "Unit Price ($)", "Revenue ($)", "COGS ($)", "Gross Profit ($)"]
for col, h in enumerate(headers, start=1):
    cell = ws.cell(row=1, column=col, value=h)
    style_header(cell)
    ws.column_dimensions[get_column_letter(col)].width = max(len(h) + 2, 14)

# ─── INPUT DATA ──────────────────────────────────────────────────────────────
months = ["Jan", "Feb", "Mar", "Apr", "May", "Jun"]
units = [1200, 1350, 1280, 1500, 1420, 1650]
price = 29.99
cogs_pct = 0.40  # key assumption - put in assumption row

for i, (month, unit) in enumerate(zip(months, units), start=2):
    row = i
    # Month
    ws.cell(row=row, column=1, value=month)
    # Units (input - blue)
    cell_units = ws.cell(row=row, column=2, value=unit)
    style_input(cell_units)
    # Unit Price (input - blue)
    cell_price = ws.cell(row=row, column=3, value=price)
    cell_price.number_format = '"$"#,##0.00'
    style_input(cell_price)
    # Revenue (formula - always use formula, not Python calculation)
    cell_rev = ws.cell(row=row, column=4, value=f"=B{row}*C{row}")
    cell_rev.number_format = '"$"#,##0.00'
    style_formula(cell_rev)
    # COGS (formula referencing assumption)
    # Assume COGS % is in cell H2
    cell_cogs = ws.cell(row=row, column=5, value=f"=D{row}*$H$2")
    cell_cogs.number_format = '"$"#,##0.00'
    style_formula(cell_cogs)
    # Gross Profit (formula)
    cell_gp = ws.cell(row=row, column=6, value=f"=D{row}-E{row}")
    cell_gp.number_format = '"$"#,##0.00'
    style_formula(cell_gp)

# ─── ASSUMPTIONS BOX ─────────────────────────────────────────────────────────
# Yellow = key assumptions
ws["G1"] = "Key Assumptions"
ws["G1"].font = Font(bold=True)
ws["G2"] = "COGS % of Revenue"
ws["H2"] = cogs_pct
ws["H2"].number_format = "0%"
ws["H2"].comment = "Source: Management estimate, April 2026"
cell_h2 = ws["H2"]
cell_h2.fill = ASSUMPTION_FILL  # yellow = key assumption

# ─── TOTALS ROW ──────────────────────────────────────────────────────────────
total_row = len(months) + 2
ws.cell(row=total_row, column=1, value="TOTAL")
ws.cell(row=total_row, column=1).font = Font(bold=True)
for col in range(2, 7):
    col_letter = get_column_letter(col)
    formula = f"=SUM({col_letter}2:{col_letter}{total_row-1})"
    cell = ws.cell(row=total_row, column=col, value=formula)
    if col >= 4:
        cell.number_format = '"$"#,##0.00'
    cell.font = Font(bold=True)
    cell.border = BORDER

# ─── CHART ───────────────────────────────────────────────────────────────────
chart = BarChart()
chart.title = "Monthly Revenue"
chart.style = 10
chart.y_axis.title = "Revenue ($)"
chart.x_axis.title = "Month"

data = Reference(ws, min_col=4, min_row=1, max_row=len(months) + 1)
categories = Reference(ws, min_col=1, min_row=2, max_row=len(months) + 1)
chart.add_data(data, titles_from_data=True)
chart.set_categories(categories)
chart.shape = 4
ws.add_chart(chart, "A10")

# ─── SAVE ────────────────────────────────────────────────────────────────────
wb.save("revenue-model.xlsx")
print("Saved: revenue-model.xlsx")

Read the full file on GitHub · 241 lines

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.

  1. 11d ago First seen · 241 lines · 89 tokens per session scan A 0cc3c5301776

Subscribe to this mod's changes

xlsx-creator is a skill published in the GitHub repository Jignesh-Ponamwar/skills-mcp (7 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 89 tokens to every session and 2,231 once invoked, about $0.0004 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 2026-08-31.

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