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 evoelsewhere/evoflux --skill xlsx-officialgit clone --depth 1 https://github.com/evoelsewhere/evofluxWrote 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/evoelsewhere/evoflux/xlsx-official)<a href="https://agentmods.dev/skills/evoelsewhere/evoflux/xlsx-official"><img src="https://agentmods.dev/badge/skills/evoelsewhere/evoflux/xlsx-official/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/evoelsewhere/evoflux/xlsx-official"><img src="https://agentmods.dev/badge/skills/evoelsewhere/evoflux/xlsx-official.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 | $0.00151 | $0.03534 |
| Opus 5.5 | $0.00060 | $0.01414 |
| Sonnet 5.5 | $0.00030 | $0.00707 |
| Haiku 4.5 | $0.00015 | $0.00353 |
Grade A, and why
xlsx-official 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 1mo 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 — 248 lines — stays where its author put it; the contents beside it link to each section on GitHub.
XLSX Skill
An Apache-2.0 toolkit for producing, editing, and reading Microsoft Excel
(.xlsx) files, written against the public
ECMA-376 / ISO/IEC 29500 (SpreadsheetML)
specification. Libraries: openpyxl (MIT), pandas (BSD-3-Clause), optional
xlsxwriter (BSD-2-Clause); optional external binary soffice (MPL 2.0).
Pipeline
Run these phases in order. Two are gates: do not pass a gate on your own judgement.
Phase 0 Inspect the data and the workspace
Phase 1 Settle the brief <- ask once, bounded
Phase 2 Sheet plan + grain <- GATE: user approves before building
Phase 3 Build
Phase 4 Recalculate and reconcile
Phase 5 Verify and repair <- one cheap pass; fix only what it flags
Phase 6 Hand off
Phase 0 — Inspect. Row counts, columns, types, keys, duplicates, nulls,
period, and any existing workbook's conventions
(scripts/overview.py gives the first pass). Never ask about something the
data states.
Phase 1 — Settle the brief. Grain, drivers, and the output decide what the
workbook is. Ask what context cannot answer, in one ask_user call — at most
three questions with a marked recommendation. Skip for a mechanical transform
or a local cell change. Read interview.md.
Phase 2 — Sheet plan and grain, then stop. Sheets and their purpose, what one row means, which cells become labelled inputs, the formulas that carry the result, the reconciliation target, and every transformation you will apply to the source data with its reason. Wait for approval. Silent cleaning is how an irreproducible number reaches a decision.
Phase 3 — Build. Drivers as labelled input cells, results as formulas, one
grain per sheet, palette and number formats as the conventions below. Build a
new workbook live, one sheet per command: scripts/workbook_live.py init --sheets N first so the file exists immediately, then one sheet file and one
workbook_live.py add per sheet, and workbook_live.py finish at the end.
The user watches the preview fill in while you write; see Live build in
create.md.
What ships with it
16 files 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.
- analyze.md 8.2 KB
- create.md 16 KB
- edit.md 12 KB
- interview.md 3.1 KB
- LICENSE 1.5 KB
- read.md 9.2 KB
- scripts/assemble.py 2.6 KB runs code
- scripts/audit.py 5.6 KB runs code
- scripts/bake.py 7.7 KB runs code
- scripts/csv_out.py 4.5 KB runs code
- scripts/explode.py 2.1 KB runs code
- scripts/overview.py 4.4 KB runs code
- scripts/pdf_out.py 2.7 KB runs code
- scripts/runtime/__init__.py 104 B runs code
- scripts/runtime/libreoffice.py 3.5 KB runs code
- scripts/workbook_live.py 16 KB runs code
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.
- 1mo ago Changed · +11 lines b67ffa96fca7
- 1mo ago Changed · -26 lines · +42 tokens per session b7eed63bd792
- 1mo ago First seen · 263 lines · 109 tokens per session scan A e8fc7d8edc2d
xlsx-official is a skill published in the GitHub repository evoelsewhere/evoflux (11 stars, last pushed 6d ago), licensed Apache-2.0. It adds 151 tokens to every session and 3,534 once invoked, about $0.0006 per session on Opus 5.5. 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 2026-09-06.
Other skills, from other repositories
Spreadsheets
Create, edit, analyze, and verify standalone spreadsheet files or Google Sheets-ready workbooks, including .xlsx, .xls, .csv, and .tsv. Do not use for live controlling Microsoft Excel app or a live Excel session.
tencent-docs-sheet-generation
A tool for creating a new Excel workbook (.xlsx) from written requirements or reference PDF, Word, or presentation files. It is for starting without an existing spreadsheet file.
资料库
A workflow for managing WorkBuddy's shared content area, including online documents, structured tables, pages, links, and stored files. It supports content creation, organisation, sharing, collaboration, and light publishing.
tencent-local-office-edit
A local editing skill for opening, changing, creating, and saving Microsoft Office and WPS documents, spreadsheets, and presentations through a local editor service. It supports specified document formats but does not execute macros or edit PDFs.
tencent-docs
A tool for creating, editing, reading, searching, and managing files in personal Tencent Docs, an online document service for individual QQ or WeChat accounts. It supports documents, spreadsheets, slides, and other listed file types.
tencent-saas-docs
A tool for creating, editing, reading, searching, and managing documents in Tencent Docs Enterprise, an online document service for business accounts. It works with documents, spreadsheets, slides, diagrams, and related files when an enterprise account is available.