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/lftpadilla/agent-dev-kit/excel-xlsxnpx skills add LFTPadilla/agent-dev-kit --skill excel-xlsxgit clone --depth 1 https://github.com/LFTPadilla/agent-dev-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/lftpadilla/agent-dev-kit/excel-xlsx)<a href="https://agentmods.dev/skills/lftpadilla/agent-dev-kit/excel-xlsx"><img src="https://agentmods.dev/badge/skills/lftpadilla/agent-dev-kit/excel-xlsx.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 | $0.00061 | $0.00373 |
| Opus 5 | $0.00030 | $0.00187 |
| Sonnet 5 | $0.00012 | $0.00075 |
| Haiku 4.5 | $0.00006 | $0.00037 |
Grade A, and why
excel-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 4d 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 XLSX
Use this skill when the user asks for an Excel spreadsheet or editable table.
Output
- Create a real
.xlsxfile, not plain text renamed as.xlsx. - Save it under the current workspace, preferably
workspace/,vault/, or the current conversation folder. - Use a clear filename ending in
.xlsx. - Reply with the file path and a short note about what was created.
Tool
python3 scripts/create_xlsx.py \
--title "Sheet title" \
--input data.csv \
--output output.xlsx
You can also pass data directly:
python3 scripts/create_xlsx.py \
--title "Cotizacion" \
--data "Item,Cantidad,Precio\nSilla,4,120000\nMesa,1,450000" \
--output cotizacion.xlsx
Input Formats
- CSV or TSV files.
- Markdown tables.
- JSON array of objects or array of arrays.
- Plain text tables separated by commas, tabs, semicolons, or pipes.
Guidance
- Put headers in the first row when the user gives categories or columns.
- For budgets, quotes, inventories, grades, schedules, or reports, include totals and clear column names when useful.
- Use formulas only when the user needs calculations and the formula is straightforward.
- If the user gives messy text, normalize it into a clean table instead of blocking.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 4d ago First seen · 49 lines · 61 tokens per session scan A 8a4a7c3b8072
excel-xlsx is a skill published in the GitHub repository LFTPadilla/agent-dev-kit (2 stars, last pushed 6d ago), licensed MIT. It adds 61 tokens to every session and 373 once invoked, about $0.0003 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.
Other skills, from other repositories
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…
Workspace Data Analyst
Analyze CSV files in the workspace and summarize insights.
google-sheets
Google Sheets via gws: read/write cells, append rows, structured batch edits.
data-analysis
当任务以表格数据为中心（CSV/Excel/TSV/JSON/Parquet）并需要分析、清洗、聚合、可视化、导出时，必须使用本技能。该技能强调人类数据分析师式流程：先多轮探查数据，再分段写小块 Python 代码逐步求解。禁止跳过探查直接编码，禁止一次写大段复杂代码。.
xlsx
Read, create, and convert Microsoft Excel (.xlsx) and CSV spreadsheets — extract sheets and tables to JSON, build workbooks from JSON/CSV, and export to PDF.
feishu-bitable
Feishu multi-dimensional table (Bitable) operations. Activate when user mentions tables, databases, or bitable links.