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.svg" alt="Measured on agentmods" 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 | $0.00109 | $0.03683 |
| Opus 5 | $0.00055 | $0.01842 |
| Sonnet 5 | $0.00022 | $0.00737 |
| Haiku 4.5 | $0.00011 | $0.00368 |
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 yesterday.
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 — 263 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 from scratch against the public
ECMA-376 / ISO/IEC 29500 (SpreadsheetML)
specification and built on permissively-licensed tooling
(openpyxl MIT, pandas BSD-3-Clause, lxml BSD-3-Clause,
optional xlsxwriter BSD-2-Clause, optional external binary soffice
MPL 2.0) so it can be reused in commercial projects without restriction.
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 ← loop until it passes
Phase 6 Hand off
Phase 0 — Inspect. Row counts, columns, types, keys, duplicates, nulls, period, and any existing workbook's conventions. 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.
Phase 4 — Recalculate and reconcile. openpyxl never evaluates formulas.
Recalculate, then check the totals against the target agreed in Phase 2. With
no calculation engine available, say the values are uncomputed.
What ships with it
18 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.
- agents/evoflux.yaml 260 B
- analyze.md 7.3 KB
- create.md 12 KB
- edit.md 11 KB
- evals/trigger-cases.json 984 B
- interview.md 3.1 KB
- LICENSE 1.5 KB
- read.md 8.2 KB
- README.md 4.3 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
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.
- yesterday First seen · 263 lines · 109 tokens per session scan A e8fc7d8edc2d
xlsx-official is a skill published in the GitHub repository evoelsewhere/evoflux (7 stars, last pushed yesterday), licensed Apache-2.0. It adds 109 tokens to every session and 3,683 once invoked, about $0.0005 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 2026-09-06.
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