spreadsheet

spreadsheet is a skill for Codex from dp-archive/archive. It costs 54 tokens per session (1,140 once invoked), scanned B, original, Apache-2.0.

A set of tools for creating, editing, analyzing, and formatting spreadsheets such as Excel workbooks, CSV files, and TSV files. It is designed to preserve formulas, references, and formatting when possible.

In plain words
What is it for?
Use it to build workbooks, clean or analyze CSV data, modify existing Excel files, preserve formulas and formatting, and create spreadsheet visualizations.
Why use it?
It helps automate spreadsheet work while checking that calculations, links between cells, and presentation remain intact. It can also summarize tabular data and create charts.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: mentions Codex.

Good fit Use it to build workbooks, clean or analyze CSV data, modify existing Excel files, preserve formulas and formatting, and create spreadsheet visualizations.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/dp-archive/archive/spreadsheet
About the project

Skill Compose is an open-source platform for building and running AI agents that use modular skills. It is intended for creating skill-powered agents without workflow graphs or a command-line interface, and the catalogue skills are examples of those agent capabilities.

dp-archive/archive · 1,105 stars · on GitHub

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 dp-archive/archive --skill spreadsheet
Clone the repo
git clone --depth 1 https://github.com/dp-archive/archive

Made for: 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 spreadsheet

README.md
[![agentmods](https://agentmods.dev/badge/skills/dp-archive/archive/spreadsheet/github.svg)](https://agentmods.dev/skills/dp-archive/archive/spreadsheet)
Your own site
<a href="https://agentmods.dev/skills/dp-archive/archive/spreadsheet"><img src="https://agentmods.dev/badge/skills/dp-archive/archive/spreadsheet/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 spreadsheet

Your own site · 80×15
<a href="https://agentmods.dev/skills/dp-archive/archive/spreadsheet"><img src="https://agentmods.dev/badge/skills/dp-archive/archive/spreadsheet.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 54 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,140 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 1 finding. 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 $0.00054 $0.01140
Opus 5.5 $0.00022 $0.00456
Sonnet 5.5 $0.00011 $0.00228
Haiku 4.5 $0.00005 $0.00114

Measured 1mo ago against content hash a9c3e61acb5e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade B, and why

spreadsheet 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 1mo ago.

The scan reads SKILL.md. This mod also ships 4 executable files (references/examples/openpyxl/create_basic_spreadsheet.py, references/examples/openpyxl/create_spreadsheet_with_styling.py, references/examples/openpyxl/read_existing_spreadsheet.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.

Asks for rootmediumPrivilege escalation

A mod that escalates privileges can change anything on the machine, not only the project.

sudo apt-get install -y libreoffice poppler-utils
seed_skills/spreadsheet/SKILL.md · 123 lines

How it starts

The opening of the file, as written. The whole thing — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Spreadsheet Skill (Create, Edit, Analyze, Visualize)

When to use

  • Build new workbooks with formulas, formatting, and structured layouts.
  • Read or analyze tabular data (filter, aggregate, pivot, compute metrics).
  • Modify existing workbooks without breaking formulas or references.
  • Visualize data with charts/tables and sensible formatting.

IMPORTANT: System and user instructions always take precedence.

Workflow

  1. Confirm the file type and goals (create, edit, analyze, visualize).
  2. Use openpyxl for .xlsx edits and pandas for analysis and CSV/TSV workflows.
  3. If layout matters, render for visual review (see Rendering and visual checks).
  4. Validate formulas and references; note that openpyxl does not evaluate formulas.
  5. Save outputs and clean up intermediate files.

Temp and output conventions

  • Use tmp/spreadsheets/ for intermediate files; delete when done.
  • Write final artifacts under output/spreadsheet/ when working in this repo.
  • Keep filenames stable and descriptive.

Primary tooling

  • Use openpyxl for creating/editing .xlsx files and preserving formatting.
  • Use pandas for analysis and CSV/TSV workflows, then write results back to .xlsx or .csv.
  • If you need charts, prefer openpyxl.chart for native Excel charts.

Rendering and visual checks

  • If LibreOffice (soffice) and Poppler (pdftoppm) are available, render sheets for visual review:
    • soffice --headless --convert-to pdf --outdir $OUTDIR $INPUT_XLSX
    • pdftoppm -png $OUTDIR/$BASENAME.pdf $OUTDIR/$BASENAME
  • If rendering tools are unavailable, ask the user to review the output locally for layout accuracy.

Dependencies (install if missing)

Prefer uv for dependency management.

Python packages:

uv pip install openpyxl pandas

If uv is unavailable:

python3 -m pip install openpyxl pandas

Optional (chart-heavy or PDF review workflows):

uv pip install matplotlib

If uv is unavailable:

python3 -m pip install matplotlib

System tools (for rendering):

# macOS (Homebrew)
brew install libreoffice poppler

# Ubuntu/Debian
sudo apt-get install -y libreoffice poppler-utils

Read the full file on GitHub · 123 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. 1mo ago First seen · 123 lines · 54 tokens per session scan B a9c3e61acb5e

Subscribe to this mod's changes

spreadsheet is a skill published in the GitHub repository dp-archive/archive (1,105 stars, last pushed 7mo ago), licensed Apache-2.0. It adds 54 tokens to every session and 1,140 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.