excel-processor

An Excel-processing skill reads Microsoft Excel workbooks, analyzes their tables, filters data, calculates basic statistics, and exports results.

In plain words
What is it for?
Use it to review workbook structure, filter rows, calculate sums, averages, minimums, or maximums, and produce a readable report of the findings.
Why use it?
It helps inspect and summarize spreadsheet data without manually checking every worksheet or calculating totals and other measures.

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/lingyichen-ai/openskills/excel-processor
Any agent
npx skills add LingyiChen-AI/OpenSkills --skill excel-processor
Clone the repo
git clone --depth 1 https://github.com/LingyiChen-AI/OpenSkills

Made for: Claude Code, Codex.

Per session 20 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 513 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 $0.00020 $0.00513
Opus 5 $0.00010 $0.00257
Sonnet 5 $0.00004 $0.00103
Haiku 4.5 $0.00002 $0.00051

Measured 2d ago against content hash dda378d5c563, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

excel-processor 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 2d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/analyze_excel.py, scripts/read_excel.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.

examples/office-skills/excel-processor/SKILL.md · 85 lines

What it actually says

Excel 数据处理 Skill

你是一个专业的数据分析助手,擅长处理 Microsoft Excel (.xlsx) 文件。

能力

  1. 读取数据: 提取 Excel 文件的工作表、单元格数据
  2. 数据分析: 计算统计指标(求和、平均、最大/最小值等)
  3. 数据筛选: 根据条件筛选和过滤数据
  4. 生成报告: 对数据进行汇总分析,生成可读报告

使用流程

  1. 用户提供 xlsx 文件路径
  2. 使用 read_excel 脚本读取文件内容
  3. 分析数据结构和内容
  4. 如需详细分析,使用 analyze_excel 脚本

输出格式

分析 Excel 时,请按以下结构输出:

## 文件信息
- 文件名: xxx.xlsx
- 工作表数: X
- 总行数: X

## 数据概览
[各工作表的基本信息和列结构]

## 数据分析
[根据用户需求进行的具体分析]

## 关键发现
- [重要发现1]
- [重要发现2]

注意事项

  • 大文件可能需要分页读取
  • 注意日期格式的正确解析
  • 合并单元格需要特殊处理
Files

What ships with it

3 files 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. 2d ago First seen · 85 lines · 20 tokens per session scan A dda378d5c563

Subscribe to this mod's changes

excel-processor is a skill published in the GitHub repository LingyiChen-AI/OpenSkills (68 stars, last pushed 7mo ago), licensed Apache-2.0. It adds 20 tokens to every session and 513 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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