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AC mu-excel-toolbox

Excel全能工具箱：读写、预览、合并、拆分、关联、去重、清洗、校验、模板填充、样式、条件格式、公式、图表、透视表、数据分析、差异对比、图片插入、密码保护。典型场景：月度业务报表合并汇总、HR花名册/考勤表关联清洗、运营数据透视分析、绩效数据校验去重、批量生成offer/通知模板、薪酬表加密保护、业务周报图表生成。触发词：Excel、表格、xlsx、csv、电子表格、合并Excel、拆分Excel、Excel图表、数据透视表、Excel公式、条件格式、数据清洗、Excel模板、Excel对比、Excel加密、VLOOKUP、去重、数据校验、统计分析、格式转换、业务报表、花名册、考勤表、绩效数据、运营数据、excel toolbox、spreadsheet、merge excel、split excel、excel chart、pivot table。即使用户没有明说'用Excel工具箱'，只要涉及Excel/表格/xlsx/csv文件的操作都应触发。不适用：在线协作编辑(用Google Sheets等在线工具)、纯代码开发、Skill管理。

ClawHub Agent Skills author: 木先生iPPT v1.1.1 MIT-0 31 files body ≈ 968 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

Excel全能工具箱：读写、预览、合并、拆分、关联、去重、清洗、校验、模板填充、样式、条件格式、公式、图表、透视表、数据分析、差异对比、图片插入、密码保护。典型场景：月度业务报表合并汇总、HR花名册/考勤表关联清洗、运营数据透视分析、绩效数据校验去重、批量生成offer/通知模板、薪酬表加密保护、业务周报图表生成。触…

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureExcelGoogle SheetsData and analyticstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
100
Quality 40%
77
Run on models
none yet
Process rating
C
53/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 0

✓ No critical or high findings

Files scanned: 31. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • note frontmatter-key unknown frontmatter key "visibility"

Process rating: all ten parameters 53/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 100Tools and files. No external tools needed
  • 100Steps. 26 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 968 tokens
  • 100Running it twice. No mutating operations

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • -222 emoji in the instructions: noise for the model
  • +2Single-language instructions
  • +3Description length 477: enough signal without eating the budget
  • +4Structure: 11 headings
  • +3Step-by-step instructions: 26 items
  • +4Has examples (2 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)
  • +3All 20 scripts are documented
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.

External checks

ClawHub: suspicious
This Excel skill is mostly a real spreadsheet toolbox, but it needs Review because some write/protection scripts can overwrite workbooks despite the skill promising backups.
LLM: suspicious (high) · 3 Sept 2026