xlsx

xlsx is a skill for Claude Code from alibaba/anolisa. It costs 106 tokens per session (2,178 once invoked), scanned A, a copy of minimax-xlsx, Apache-2.0.

A set of procedures for opening, creating, reading, analyzing, editing, and checking spreadsheet files such as Excel workbooks, CSV files, and TSV files.

In plain words
What is it for?
Building spreadsheets, analyzing tabular data, changing workbook contents or formatting, repairing formulas, and validating spreadsheet formulas.
Why use it?
It gives spreadsheet tasks a defined way to handle data and formulas without accidentally changing the original file during analysis.

Skill for Claude Code ✓ vendor

Written for Claude Code: allowed-tools in frontmatter. Also seen: mentions subagents.

Good fit Building spreadsheets, analyzing tabular data, changing workbook contents or formatting, repairing formulas, and validating spreadsheet formulas.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/alibaba/anolisa/xlsx
About the project

ANOLISA is a server-side operating layer for AI agent workloads that provides terminal access, token-saving tool-output compression, runtime controls, security, observability, skills, memory, and sandbox management. It is for running and supervising agents from a Linux terminal while retaining an existing shell, agent framework, and sandbox. The catalogue add-ons are components of its agent operating environment and workflows.

alibaba/anolisa · 603 stars · on GitHub · agentic-os.sh

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 alibaba/anolisa --skill xlsx
Clone the repo
git clone --depth 1 https://github.com/alibaba/anolisa

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.

agentmods badge for xlsx

README.md
[![agentmods](https://agentmods.dev/badge/skills/alibaba/anolisa/xlsx/github.svg)](https://agentmods.dev/skills/alibaba/anolisa/xlsx)
Your own site
<a href="https://agentmods.dev/skills/alibaba/anolisa/xlsx"><img src="https://agentmods.dev/badge/skills/alibaba/anolisa/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/alibaba/anolisa/xlsx"><img src="https://agentmods.dev/badge/skills/alibaba/anolisa/xlsx.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 106 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,178 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 97% copy Near-identical to another mod 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 $0.00106 $0.02178
Opus 5.5 $0.00042 $0.00871
Sonnet 5.5 $0.00021 $0.00436
Haiku 4.5 $0.00011 $0.00218

Measured 1mo ago against content hash 6d716925662f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, 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 1mo ago.

The scan reads SKILL.md. This mod also ships 10 executable files (scripts/formula_check.py, scripts/libreoffice_recalc.py, scripts/shared_strings_builder.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

This is a copy

97% identical to minimax-xlsx — 67 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

src/os-skills/others/xlsx/SKILL.md · 172 lines

How it starts

The opening of the file, as written. The whole thing — 172 lines — stays where its author put it; the contents beside it link to each section on GitHub.

XLSX Skill

Handle the request directly. Do NOT spawn sub-agents. Always write the output file the user requests.

Task Routing

Task Method Guide
READ — analyze existing data xlsx_reader.py + pandas references/read-analyze.md
CREATE — new xlsx from scratch XML template references/create.md + references/format.md
EDIT — modify existing xlsx XML unpack→edit→pack references/edit.md (+ format.md if styling needed)
FIX — repair broken formulas in existing xlsx XML unpack→fix <f> nodes→pack references/fix.md
VALIDATE — check formulas formula_check.py references/validate.md

READ — Analyze data (read references/read-analyze.md first)

Start with xlsx_reader.py for structure discovery, then pandas for custom analysis. Never modify the source file.

Formatting rule: When the user specifies decimal places (e.g. "2 decimal places"), apply that format to ALL numeric values — use f'{v:.2f}' on every number. Never output 12875 when 12875.00 is required.

Aggregation rule: Always compute sums/means/counts directly from the DataFrame column — e.g. df['Revenue'].sum(). Never re-derive column values before aggregation.

CREATE — XML template (read references/create.md + references/format.md)

Copy templates/minimal_xlsx/ → edit XML directly → pack with xlsx_pack.py. Every derived value MUST be an Excel formula (<f>SUM(B2:B9)</f>), never a hardcoded number. Apply font colors per format.md.

EDIT — XML direct-edit (read references/edit.md first)

CRITICAL — EDIT INTEGRITY RULES:

  1. NEVER create a new Workbook() for edit tasks. Always load the original file.
  2. The output MUST contain the same sheets as the input (same names, same data).
  3. Only modify the specific cells the task asks for — everything else must be untouched.
  4. After saving output.xlsx, verify it: open with xlsx_reader.py or pandas and confirm the original sheet names and a sample of original data are present. If verification fails, you wrote the wrong file — fix it before delivering.

Read the full file on GitHub · 172 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 · 172 lines · 106 tokens per session scan A 6d716925662f

Subscribe to this mod's changes

xlsx is a skill published in the GitHub repository alibaba/anolisa (603 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 106 tokens to every session and 2,178 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 97% identical to minimax-xlsx, differing in 67 lines, and is treated as a copy.

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