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 cxcscmu/SkillLearnBench --skill excel-weighted-meangit clone --depth 1 https://github.com/cxcscmu/SkillLearnBenchWrote 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/cxcscmu/skilllearnbench/excel-weighted-mean)<a href="https://agentmods.dev/skills/cxcscmu/skilllearnbench/excel-weighted-mean"><img src="https://agentmods.dev/badge/skills/cxcscmu/skilllearnbench/excel-weighted-mean.svg" alt="Measured on agentmods" 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 | $0.00030 | $0.00784 |
| Opus 5 | $0.00015 | $0.00392 |
| Sonnet 5 | $0.00006 | $0.00157 |
| Haiku 4.5 | $0.00003 | $0.00078 |
Grade A, and why
excel-weighted-mean 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 3d 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.
How it starts
The opening of the file, as written. The whole thing — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Excel Weighted Mean with SUMPRODUCT
Overview
A weighted mean assigns different weights to each observation. In economic analysis, GDP-weighted averages give more influence to larger economies.
Formula
=SUMPRODUCT(values_range, weights_range) / SUM(weights_range)
Example: GDP-Weighted Net Exports % GDP
=ROUND(SUMPRODUCT(H35:H40, H26:H31) / SUM(H26:H31), 1)
Where:
H35:H40— net exports as % of GDP for each country (already in percentage form, e.g., 12.3 means 12.3%)H26:H31— GDP values in billions (used as weights)- Result is automatically in the same scale as the input values (12.3 form, not 0.123)
Scale Consistency
If values in H35:H40 are stored as 12.3 (percent form), the weighted mean formula returns the result in the same 12.3 form — no additional multiplication by 100 is needed.
Net Exports as Percent of GDP
=ROUND((Exports - Imports) / GDP * 100, 1)
Example where exports are in row 12, imports in row 19, GDP in row 26:
=ROUND((H12 - H19) / H26 * 100, 1)
Related Statistical Functions
All rounded to 1 decimal for consistency:
=ROUND(MIN(H35:H40), 1) ' Minimum
=ROUND(MAX(H35:H40), 1) ' Maximum
=ROUND(MEDIAN(H35:H40), 1) ' Median
=ROUND(AVERAGE(H35:H40), 1) ' Simple mean
=ROUND(PERCENTILE(H35:H40, 0.25), 1) ' 25th percentile
=ROUND(PERCENTILE(H35:H40, 0.75), 1) ' 75th percentile
=ROUND(SUMPRODUCT(H35:H40, H26:H31) / SUM(H26:H31), 1) ' GDP-weighted mean
SUMPRODUCT for Weighted Mean vs Simple Mean
| Formula | Description |
|---|---|
=AVERAGE(H35:H40) |
Simple mean (equal weights) |
=SUMPRODUCT(H35:H40, H26:H31)/SUM(H26:H31) |
GDP-weighted mean |
The weighted mean will differ from the simple mean because larger economies pull the average toward their values.
Setting in Python (openpyxl)
from openpyxl import load_workbook
wb = load_workbook('file.xlsx')
ws = wb['Task']
# Weighted mean formula
ws['H50'] = '=ROUND(SUMPRODUCT(H35:H40,H26:H31)/SUM(H26:H31),1)'
# Statistics
ws['H42'] = '=ROUND(MIN(H35:H40),1)'
ws['H43'] = '=ROUND(MAX(H35:H40),1)'
ws['H44'] = '=ROUND(MEDIAN(H35:H40),1)'
ws['H45'] = '=ROUND(AVERAGE(H35:H40),1)'
ws['H46'] = '=ROUND(PERCENTILE(H35:H40,0.25),1)'
ws['H47'] = '=ROUND(PERCENTILE(H35:H40,0.75),1)'
wb.save('file.xlsx')
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.
- 3d ago First seen · 88 lines · 30 tokens per session scan A 4430f3e07b77
excel-weighted-mean is a skill published in the GitHub repository cxcscmu/SkillLearnBench (83 stars, last pushed 1mo ago), licensed MIT. It adds 30 tokens to every session and 784 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 2026-09-03.
Other skills, from other repositories
xlsx-parsing
Read Microsoft Excel (.xlsx) files robustly with openpyxl (or pandas). Covers multi-sheet workbooks, header rows, empty cells, merged cells, comma-separated list cells, and converting a sheet to a list-of-dicts the rest of your code can consume. Use when a task input or reference document is an .xlsx file rather than…
data-formats
Reading, writing, and converting common data formats (CSV, Excel, JSON, YAML) with correct handling of encoding, types, and edge cases.
xlsx
Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify…
xlsx
Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify…
xlsx
Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or…
TypeScript 인터페이스 순서 기반 xlsx 엑셀 다운로드 구현
A TypeScript function that turns an array of data into an XLSX spreadsheet, following the property order defined by a TypeScript interface. XLSX is a common Excel file format.