excel-author

excel-author is a skill for Claude Code, Codex from fuyuxiang/echo-agent. It costs 28 tokens per session (592 once invoked), scanned A, original, MIT.

A tool for creating and editing Excel spreadsheet files. It can work with data, formulas, charts, formatting, and analysis using the Python openpyxl library.

In plain words
What is it for?
Use it to create reports, expense sheets, tables with totals, charts, and other .xlsx files from code or structured data.
Why use it?
It removes the need to build routine workbooks by hand and helps turn CSV or JSON data into formatted spreadsheets.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/fuyuxiang/echo-agent/excel-author
Any agent
npx skills add fuyuxiang/echo-agent --skill excel-author
Clone the repo
git clone --depth 1 https://github.com/fuyuxiang/echo-agent

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 excel-author

README.md
[![agentmods](https://agentmods.dev/badge/skills/fuyuxiang/echo-agent/excel-author.svg)](https://agentmods.dev/skills/fuyuxiang/echo-agent/excel-author)
Your own site
<a href="https://agentmods.dev/skills/fuyuxiang/echo-agent/excel-author"><img src="https://agentmods.dev/badge/skills/fuyuxiang/echo-agent/excel-author.svg" alt="Measured on agentmods" height="20"></a>
Per session 28 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 592 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00028 $0.00592
Opus 5 $0.00014 $0.00296
Sonnet 5 $0.00006 $0.00118
Haiku 4.5 $0.00003 $0.00059

Measured 4d ago against content hash 4e929fccb762, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

excel-author 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 4d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/create_xlsx.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.

skills/creative/excel-author/SKILL.md · 89 lines

What it actually says

Excel Author

Create professional Excel workbooks programmatically.

Install

pip install openpyxl

Quick Start

from openpyxl import Workbook
from openpyxl.styles import Font, PatternFill, Alignment, Border, Side

wb = Workbook()
ws = wb.active
ws.title = "月度报表"

# Headers
headers = ["日期", "类别", "金额", "备注"]
ws.append(headers)
for cell in ws[1]:
    cell.font = Font(bold=True, size=12)
    cell.fill = PatternFill("solid", fgColor="4472C4")
    cell.font = Font(bold=True, color="FFFFFF")

# Data
ws.append(["2026-06-01", "餐饮", 85.5, "午餐"])
ws.append(["2026-06-01", "交通", 15.0, "地铁"])
ws.append(["2026-06-02", "购物", 299.0, ""])

# Formula
ws.append(["", "合计", "=SUM(C2:C4)", ""])

# Auto-width
for col in ws.columns:
    max_len = max(len(str(cell.value or "")) for cell in col)
    ws.column_dimensions[col[0].column_letter].width = max_len + 4

wb.save("report.xlsx")

Script

python3 scripts/create_xlsx.py from-csv data.csv --output report.xlsx
python3 scripts/create_xlsx.py from-json data.json --output report.xlsx
python3 scripts/create_xlsx.py quick "Report Title" --headers Name Age City --output output.xlsx

Templates

  • Expense Report: Category breakdown with totals
  • Project Tracker: Status, assignee, due date columns
  • Data Analysis: Summary statistics + charts

Charts

from openpyxl.chart import BarChart, Reference

chart = BarChart()
chart.title = "月度支出"
data = Reference(ws, min_col=3, min_row=1, max_row=5)
cats = Reference(ws, min_col=2, min_row=2, max_row=5)
chart.add_data(data, titles_from_data=True)
chart.set_categories(cats)
ws.add_chart(chart, "E2")

Conventions

  • Blue cells: input values
  • Black cells: calculated/formula
  • Green cells: final output/results
Files

What ships with it

1 file 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.

  1. 4d ago First seen · 89 lines · 28 tokens per session scan A 4e929fccb762

Subscribe to this mod's changes

excel-author is a skill published in the GitHub repository fuyuxiang/echo-agent (988 stars, last pushed 4d ago), licensed MIT. It adds 28 tokens to every session and 592 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.

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