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.
npx skills add liyecom/liye-ai --skill xlsxgit clone --depth 1 https://github.com/liyecom/liye-aiWrote 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.
[](https://agentmods.dev/skills/liyecom/liye-ai/xlsx)<a href="https://agentmods.dev/skills/liyecom/liye-ai/xlsx"><img src="https://agentmods.dev/badge/skills/liyecom/liye-ai/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.
<a href="https://agentmods.dev/skills/liyecom/liye-ai/xlsx"><img src="https://agentmods.dev/badge/skills/liyecom/liye-ai/xlsx.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00012 | $0.00934 |
| Opus 5 | $0.00006 | $0.00467 |
| Sonnet 5 | $0.00002 | $0.00187 |
| Haiku 4.5 | $0.00001 | $0.00093 |
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 10d ago.
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.
What it actually says
xlsx
来源: ComposioHQ/awesome-claude-skills 适配: LiYe OS 三层架构
综合电子表格操作工具，支持创建、编辑、分析 Excel 文件，包括公式、图表、数据转换等完整功能。
When to Use This Skill
当 Claude 需要处理电子表格文件时：
- 创建新的电子表格并填充数据
- 读取或分析现有的 .xlsx, .xlsm, .csv, .tsv 文件
- 修改现有电子表格并保留公式
- 执行数据分析和可视化
- 重新计算公式
Core Capabilities
1. 文件读写
- 支持 .xlsx, .xlsm, .csv, .tsv 格式
- 保留原有公式和格式
- 处理多工作表工作簿
2. 公式与计算
- 创建和编辑公式
- 支持常用函数 (SUM, AVERAGE, VLOOKUP, IF 等)
- 公式重新计算
3. 数据可视化
- 创建图表 (柱状图、折线图、饼图等)
- 条件格式化
- 数据透视表
4. 格式化
- 单元格样式 (字体、颜色、边框)
- 数字格式 (货币、百分比、日期)
- 列宽行高调整
5. 数据分析
- 数据筛选和排序
- 统计分析
- 数据验证
Usage Examples
示例 1: 读取并分析销售数据
用户: 分析这个 Amazon 销售报表的趋势
Claude: [使用 xlsx 技能读取文件，提取数据，生成趋势分析]
示例 2: 创建关键词矩阵
用户: 帮我创建一个关键词研究矩阵表格
Claude: [使用 xlsx 技能创建结构化表格，添加公式计算搜索量权重]
示例 3: 合并多个数据源
用户: 把这三个 CSV 文件合并成一个 Excel 报表
Claude: [使用 xlsx 技能读取多个文件，合并数据，生成格式化报表]
Dependencies
- Python: openpyxl, pandas, xlsxwriter
- 或 Node.js: xlsx, exceljs
LiYe OS Integration
业务域引用
此技能被以下业务域引用：
- 02_Operation_Intelligence: Amazon 销售/关键词/PPC 报表分析
- 07_Data_Science: 通用数据分析
- 04_Business_Operations: 商务报表处理
三层架构位置
- 物理层 (本文件): Skills/00_Core_Utilities/document-processing/xlsx/
- 逻辑层索引: Skills/{domain}/index.yaml
- L3 指令层: .claude/skills/{domain}/xlsx/
Created: 2025-12-28 | Adapted for LiYe OS
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.
- 10d ago First seen · 118 lines · 12 tokens per session scan A cb58f1bbcb08
xlsx is a skill published in the GitHub repository liyecom/liye-ai (33 stars, last pushed 2d ago), licensed Apache-2.0. It adds 12 tokens to every session and 934 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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