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 ihatesea69/kiro-kit --skill xlsxgit clone --depth 1 https://github.com/ihatesea69/kiro-kitWrote 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/ihatesea69/kiro-kit/xlsx)<a href="https://agentmods.dev/skills/ihatesea69/kiro-kit/xlsx"><img src="https://agentmods.dev/badge/skills/ihatesea69/kiro-kit/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/ihatesea69/kiro-kit/xlsx"><img src="https://agentmods.dev/badge/skills/ihatesea69/kiro-kit/xlsx.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 | $0.00032 | $0.00359 |
| Opus 5 | $0.00016 | $0.00179 |
| Sonnet 5 | $0.00006 | $0.00072 |
| Haiku 4.5 | $0.00003 | $0.00036 |
Grade A, and why
document-skills-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 7d 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
Document Skills - XLSX
Activate this skill when working with Excel spreadsheets in data pipelines.
When to Use
- Reading datasets from Excel files into DataFrames
- Generating formatted Excel reports with charts
- Processing multi-sheet workbooks
- Creating pivot tables and summaries in Excel format
- Automating data export to stakeholder-friendly formats
Libraries
- openpyxl: Read/write XLSX with formatting
- pandas: DataFrame to/from Excel (uses openpyxl backend)
- xlsxwriter: Write-only with advanced formatting
Usage
import pandas as pd
from openpyxl import Workbook
from openpyxl.chart import BarChart, Reference
# Read with pandas
df = pd.read_excel("data.xlsx", sheet_name="Sales")
# Write formatted report
with pd.ExcelWriter("report.xlsx", engine="openpyxl") as writer:
df.to_excel(writer, sheet_name="Summary", index=False)
details.to_excel(writer, sheet_name="Details", index=False)
# Advanced formatting with openpyxl
wb = Workbook()
ws = wb.active
ws.append(["Metric", "Value", "Change"])
ws.column_dimensions["A"].width = 20
wb.save("formatted.xlsx")
Rules
- Use pandas for simple read/write, openpyxl for formatting
- Handle merged cells and multi-header sheets carefully
- Validate data types after reading (dates, numbers)
- Close file handles to avoid corruption
- Test with both .xls and .xlsx formats when needed
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.
- 7d ago First seen · 55 lines · 32 tokens per session scan A 8b9f254e4f8d
document-skills-xlsx is a skill published in the GitHub repository ihatesea69/kiro-kit (18 stars, last pushed 22d ago), licensed MIT. It adds 32 tokens to every session and 359 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.
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