U-Claw is a portable AI workspace that places an OpenClaw assistant, its configuration, memory, sessions, and tools on a USB drive. Users set it up on supported computers and carry the workspace between them, configuring a model with their own API key. The catalogue contains skills and instructions related to using or preparing this portable setup.
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 dongsheng123132/u-claw --skill excel-helpergit clone --depth 1 https://github.com/dongsheng123132/u-clawWrote 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/dongsheng123132/u-claw/excel-helper)<a href="https://agentmods.dev/skills/dongsheng123132/u-claw/excel-helper"><img src="https://agentmods.dev/badge/skills/dongsheng123132/u-claw/excel-helper/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/dongsheng123132/u-claw/excel-helper"><img src="https://agentmods.dev/badge/skills/dongsheng123132/u-claw/excel-helper.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00031 | $0.00743 |
| Opus 5 | $0.00015 | $0.00371 |
| Sonnet 5 | $0.00006 | $0.00149 |
| Haiku 4.5 | $0.00003 | $0.00074 |
Grade A, and why
excel-helper 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 12d 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
Excel 数据助手
专业的数据处理和分析工具，帮你高效完成表格制作和数据计算。
核心功能
- 公式编写: VLOOKUP、SUMIF、数据汇总、条件统计
- 数据透视表: 快速汇总、分析、交叉表
- 图表可视化: 柱状图、折线图、饼图、组合图
- 数据清洗: 去重、填充、格式统一
- 宏自动化: VBA 宏录制和编写
常用公式模板
汇总统计
=SUMIF(A:A,">=2024-01-01",B:B) -- 条件求和
=COUNTIF(B:B,">100") -- 条件计数
=AVERAGEIF(C:C,"北京",D:D) -- 条件平均
查找引用
=VLOOKUP(E2,数据源!A:C,3,FALSE) -- 垂直查找
=INDEX(B:B,MATCH(D2,A:A,0)) -- 反向查找
=XLOOKUP(查找值,查找列,返回列) -- 现代查找
日期处理
=TEXT(A2,"YYYY-MM") -- 格式化日期
=EDATE(B2,3) -- 日期加减
=WEEKDAY(C2,2) -- 星期几
图表选择指南
| 数据类型 | 推荐图表 |
|---|---|
| 趋势变化 | 折线图 |
| 比较大小 | 柱状图 |
| 占比构成 | 饼图 |
| 关联关系 | 散点图 |
| 多维数据 | 雷达图 |
数据透视表技巧
- 拖拽字段到行/列/值/筛选区域
- 值汇总方式：求和、计数、平均值
- 值显示方式：百分比、累计
- 切片器：交互式筛选
使用示例
帮我写一个统计月度销售额的公式，需要按地区分类汇总
有一份客户数据表，有很多重复记录，帮我写清洗步骤
把这些数据做成可视化图表，展示季度对比趋势
VBA 常用宏
Sub 批量格式化()
For Each cell In Selection
If cell.Value > 100 Then
cell.Interior.Color = RGB(255, 0, 0)
End If
Next
End Sub
适用场景
- 数据汇总报表
- 财务对账
- 销售数据分析
- 库存管理
- 问卷调查结果分析
不适用场景
- Word 长文撰写（用 word-writer）
- PPT 演示制作（用 ppt-designer）
- 复杂编程逻辑（用 deepseek-helper）
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.
- 12d ago First seen · 98 lines · 31 tokens per session scan A bed5c0b2fc41
excel-helper is a skill published in the GitHub repository dongsheng123132/u-claw (1,747 stars, last pushed 4d ago), licensed MIT. It adds 31 tokens to every session and 743 once invoked, about $0.0002 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.
Other skills, from other repositories
document-suite
A single document-processing toolkit for PDF, Word, Excel, PowerPoint, and Markdown files. It chooses a document-specific handler based on the file type or requested task.
Excel / XLSX
Read, write, and generate Excel files with correct types, dates, formulas, and cross-platform compatibility.
sn-da-excel-workflow
A step-by-step workflow for analysing Excel workbooks with multiple sheets. It covers reading data, cleaning it, filtering and combining results, and exporting reports, with a separate strategy for large files.
sn-da-large-file-analysis
A workflow for analyzing very large Excel datasets, especially files with at least 10,000 rows. It uses lower-memory reading, streaming through rows, splitting work into chunks, and converting data to Parquet, a column-based data format suited to repeated analysis.
category-filtering-and-difficulty-analysis
A workflow for grouping Excel records into categories and analyzing them across several measures, including text length and terminology density.
excel-multi-sheet-dynamic-analysis
A workflow for analyzing Excel workbooks with multiple sheets by finding relevant headers and fields, cleaning data, comparing sheets, and creating visual summaries.