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 agentmods add skills/legendtkl/agentic-skill-router/skill-026npx skills add legendtkl/agentic-skill-router --skill skill-026git clone --depth 1 https://github.com/legendtkl/agentic-skill-routerWrote 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/legendtkl/agentic-skill-router/skill-026)<a href="https://agentmods.dev/skills/legendtkl/agentic-skill-router/skill-026"><img src="https://agentmods.dev/badge/skills/legendtkl/agentic-skill-router/skill-026.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 | $0.00035 | $0.00329 |
| Opus 5 | $0.00017 | $0.00164 |
| Sonnet 5 | $0.00007 | $0.00066 |
| Haiku 4.5 | $0.00003 | $0.00033 |
Grade A, and why
skill-026 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 6d 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
Spreadsheet Automation
Overview
The Spreadsheet Automation skill allows users to generate and manipulate Excel spreadsheets (.xlsx) programmatically. This is useful for tasks such as data analysis, reporting, and automating repetitive spreadsheet processes.
Workflow Decision Tree
Creating a New Spreadsheet
Use the "Creating a new Excel file" workflow below.
Creating a New Excel File
To create an Excel file, you can utilize the xlsx library, which enables you to generate worksheets, write data, and format cells.
Prerequisites
Make sure you have the xlsx library installed:
npm install xlsx
Sample Code
Here’s an example of generating a new spreadsheet:
const XLSX = require('xlsx');
// Create a new workbook
let wb = XLSX.utils.book_new();
// Add a new worksheet
let ws_data = [['Name', 'Age'], ['Alice', 30], ['Bob', 25]];
let ws = XLSX.utils.aoa_to_sheet(ws_data);
XLSX.utils.book_append_sheet(wb, ws, 'Sheet1');
// Write the workbook to a file
XLSX.writeFile(wb, 'output.xlsx');
Conclusion
The Spreadsheet Automation skill is a powerful tool for users looking to automate their Excel spreadsheet tasks, making data manipulation and analysis much more efficient.
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.
- 6d ago First seen · 45 lines · 35 tokens per session scan A 20b72c0adf73
skill-026 is a skill published in the GitHub repository legendtkl/agentic-skill-router (5 stars, last pushed 3mo ago), licensed MIT. It adds 35 tokens to every session and 329 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 2026-08-31.
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