xlsx

xlsx is a skill for Claude Code, Codex from ssmurfgg04-gif/context-m. It costs 152 tokens per session (2,441 once invoked), scanned A, original, Apache-2.0.

A spreadsheet-workbench skill for working with Excel files and similar tabular files such as CSV and TSV. It guides tasks such as editing data, analysing it, and creating charts.

In plain words
What is it for?
Use it to create, edit, analyse, or improve spreadsheet files and their visual summaries.
Why use it?
It helps turn a spreadsheet request into the right set of data, formula, chart, and design steps.

Skill for Claude CodeCodex

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

Good fit Use it to create, edit, analyse, or improve spreadsheet files and their visual summaries.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ssmurfgg04-gif/context-m/xlsx
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 ssmurfgg04-gif/context-m --skill xlsx
Clone the repo
git clone --depth 1 https://github.com/ssmurfgg04-gif/context-m

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

README.md
[![agentmods](https://agentmods.dev/badge/skills/ssmurfgg04-gif/context-m/xlsx/github.svg)](https://agentmods.dev/skills/ssmurfgg04-gif/context-m/xlsx)
Your own site
<a href="https://agentmods.dev/skills/ssmurfgg04-gif/context-m/xlsx"><img src="https://agentmods.dev/badge/skills/ssmurfgg04-gif/context-m/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.

agentmods 80×15 button for xlsx

Your own site · 80×15
<a href="https://agentmods.dev/skills/ssmurfgg04-gif/context-m/xlsx"><img src="https://agentmods.dev/badge/skills/ssmurfgg04-gif/context-m/xlsx.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 152 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,441 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 $0.00152 $0.02441
Opus 5 $0.00076 $0.01221
Sonnet 5 $0.00030 $0.00488
Haiku 4.5 $0.00015 $0.00244

Measured 9d ago against content hash 97cd35e37f42, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, 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 9d ago.

The scan reads SKILL.md. This mod also ships 4 executable files (setup.sh, templates/base.py, templates/palettes.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/xlsx/SKILL.md · 231 lines

How it starts

The opening of the file, as written. The whole thing — 231 lines — stays where its author put it; the contents beside it link to each section on GitHub.

XLSX — Scene-Driven Spreadsheet Workbench

Quick Setup

bash "$XLSX_SKILL_DIR/setup.sh"    # Interactive environment check + install

Pre-Flight: Intent Gate

Before touching any code, confirm the user actually needs a spreadsheet:

  • Report / analysis summary (述职, 调研报告) → docx skill
  • Presentation (汇报, 演示, pitch deck) → pptx skill
  • Formal print document (合同, 证书, "PDF") → pdf skill
  • Charts only, no data table needed → charts skill
  • User explicitly says a format → respect it

If confirmed xlsx → proceed to Scene Router below.

Request Decomposition (do this every time):

  • Explicit needs: sheets, columns, formulas, metrics the user stated
  • Implicit needs: business context, downstream use (filter? sort? input?)
  • Multi-part requests: generate ALL parts — never silently drop a component

Multi-Intent Detection — some requests combine multiple scenes:

"Create a financial model with charts and export a PDF summary"
 → scenes/finance.md + engines/chart.md + (hand off PDF to pdf skill)

"Analyze this CSV, build a dashboard, and make it look professional"
 → scenes/analyze.md + engines/chart.md + engines/design.md

"Edit this budget file, add a new quarter column, and create a pivot"
 → scenes/edit.md + quality/pipeline.md (pivot command)

"Convert these 5 CSVs into one xlsx with a summary sheet"
 → scenes/convert.md + scenes/create.md (for summary)

When multiple intents detected, load all matching files and execute in logical order: data preparation → analysis → visualization → styling → QA.


Complexity Gate (evaluate BEFORE Scene Router)

Determine task complexity to control file loading depth:

User Request
│
├─ LITE (single aggregation, simple chart, direct conversion, QA-only)
│  → Load: SKILL.md + ONE scene file (lean version)
│  → Skip: engine files (use built-in knowledge for basic styles)
│  → QA: audit + validate only
│  → Target: ≤ 400 lines total context
│
└─ FULL (multi-dimensional analysis, financial model, dashboard, KANO, etc.)
   → Load: SKILL.md + scene + engines (chart.md / design.md) as needed
   → For code patterns: load recipes/templates files ON DEMAND (not upfront)
   → QA: full pipeline (recalc → audit → scan → chart-verify → validate)
   → Target: load recipes/templates only when stuck on implementation

Read the full file on GitHub · 231 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. 9d ago First seen · 231 lines · 152 tokens per session scan A 97cd35e37f42

Subscribe to this mod's changes

xlsx is a skill published in the GitHub repository ssmurfgg04-gif/context-m (2 stars, last pushed yesterday), licensed Apache-2.0. It adds 152 tokens to every session and 2,441 once invoked, about $0.0008 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.