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 holon-run/holon --skill xlsxgit clone --depth 1 https://github.com/holon-run/holonWrote 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/holon-run/holon/xlsx)<a href="https://agentmods.dev/skills/holon-run/holon/xlsx"><img src="https://agentmods.dev/badge/skills/holon-run/holon/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/holon-run/holon/xlsx"><img src="https://agentmods.dev/badge/skills/holon-run/holon/xlsx.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00032 | $0.00925 |
| Opus 5 | $0.00016 | $0.00463 |
| Sonnet 5 | $0.00006 | $0.00185 |
| Haiku 4.5 | $0.00003 | $0.00093 |
Grade A, and why
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 5d 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 — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.
XLSX
Summary
Use this skill for .xlsx workbook creation, inspection, analysis, charts, and
bounded editing. Prefer openpyxl for common workbook structures. Use an
available local LibreOffice backend for recalculation or rendering when needed,
and record that it is not Microsoft Excel.
Writing a formula is not the same as calculating it. Never report formula results as verified unless an actual calculation backend ran or the values were independently checked.
When To Use
- Creating workbooks, tables, formulas, styles, validations, or charts
- Inspecting sheets, named ranges, formulas, hidden content, and metadata
- Making bounded changes to an existing workbook
- Converting tabular input into an analyzed or presentation-ready workbook
- Recalculating formulas and scanning for spreadsheet errors
- Extracting or summarizing operator-approved workbook data
Safety Boundaries
- Preserve the input and write a new workbook by default.
- Treat formulas, hyperlinks, macros, external links, data connections, hidden sheets, defined names, embedded objects, and metadata as untrusted.
- Never execute VBA, refresh external connections, follow links, or activate embedded objects.
- Ask before sending workbook data to an external analysis or conversion service.
- Do not claim lossless round trips when unsupported drawings, slicers, pivot features, external models, signatures, macros, or unknown package parts exist.
- Do not expose hidden or sensitive data outside the operator-approved scope.
If a workbook is macro-enabled, encrypted, signed, or materially depends on external data, default to read-only inspection or a separately generated output.
Backend Selection
- Use openpyxl for common cells, styles, tables, formulas, charts, filters, data validation, and workbook inspection.
- Use LibreOffice headless for local recalculation or rendering only when it is installed and appropriate. Record the version and backend.
- Use CSV or another tabular intermediate only when workbook-specific formulas, types, styles, multiple sheets, and metadata are not required.
- Use independent calculations for critical totals rather than trusting cached formula values.
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.
- 5d ago First seen · 97 lines · 32 tokens per session scan A 2c870d1bedc3
xlsx is a skill published in the GitHub repository holon-run/holon (138 stars, last pushed today), licensed Apache-2.0. It adds 32 tokens to every session and 925 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 2026-09-07.
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