OfficeCLI is a standalone command-line Office suite that lets AI agents read, edit, render, and automate Word, Excel, and PowerPoint files without requiring Microsoft Office. Developers and other users employ it to create and inspect documents through commands, with HTML or PNG rendering supporting visual review. The catalogue skills teach coding agents how to install and use OfficeCLI.
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 iOfficeAI/OfficeCLI --skill officecli-data-dashboardgit clone --depth 1 https://github.com/iOfficeAI/OfficeCLIWrote 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/iofficeai/officecli/officecli-data-dashboard)<a href="https://agentmods.dev/skills/iofficeai/officecli/officecli-data-dashboard"><img src="https://agentmods.dev/badge/skills/iofficeai/officecli/officecli-data-dashboard/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/iofficeai/officecli/officecli-data-dashboard"><img src="https://agentmods.dev/badge/skills/iofficeai/officecli/officecli-data-dashboard.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Supply Chain · line 14 Remote code is downloaded and executed. This bypasses code review and could introduce malicious code.Fix: Avoid downloading and executing remote scripts. Use trusted packages from PyPI/npm. If remote fetch is required, verify checksums and use HTTPS.
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 | $0.00159 | $0.08354 |
| Opus 5.5 | $0.00064 | $0.03342 |
| Sonnet 5.5 | $0.00032 | $0.01671 |
| Haiku 4.5 | $0.00016 | $0.00835 |
Grade C, and why
officecli-data-dashboard scanned grade C with 2 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 14d 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.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
- **macOS / Linux**: `curl -fsSL https://d.officecli.ai/install.sh | bash` Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- **macOS / Linux**: `curl -fsSL https://d.officecli.ai/install.sh | bash` Copies of this mod
2 near-identical copies found in the catalogue:
- officecli-data-dashboard — 97% identical, 67 lines differ
- officecli-data-dashboard — 97% identical, 63 lines differ
How it starts
The opening of the file, as written. The whole thing — 416 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Data Dashboard (scene-layer on officecli-xlsx)
A dashboard is not "a spreadsheet with charts". It is a composition: one Dashboard sheet the user lands on with formula-driven KPI cards, cell-range-linked charts, sparklines, and semantic conditional formatting. Everything else (raw data, aggregations) is upstream infrastructure the user should never need to open. This skill teaches the composition pattern. Everything about the xlsx engine — cells, formulas, batch JSON, shell quoting, validate, HTML preview — comes from officecli-xlsx and is not re-taught here.
Setup
If officecli is missing:
- macOS / Linux:
curl -fsSL https://d.officecli.ai/install.sh | bash - Windows (PowerShell):
irm https://d.officecli.ai/install.ps1 | iex
Verify with officecli --version (open a new terminal if PATH hasn't picked up). If install fails, download a binary from https://github.com/iOfficeAI/OfficeCLI/releases.
⚠️ Help-First Rule
When a prop name, enum value, or alias is uncertain, consult help before guessing.
officecli help xlsx # element list
officecli help xlsx chart # full schema for charts
officecli help xlsx sparkline # sparklines
officecli help xlsx conditionalformatting # all CF rule types
Help reflects the installed CLI version. When this skill and help disagree, help wins. DeferredAddKeys (combosplit, holesize) work on add only — see Reference.
Mental Model & Inheritance
This skill inherits every xlsx hard rule from officecli-xlsx — shell quoting, zero formula errors, visual delivery floor, batch JSON shape ({"command":"set"|"add","path":...,"props":{...}} — key is command, NOT action), batch JSON dotted-name rule, chart data-feed forms, batch+resident limits, validate discipline. Read officecli-xlsx first; honour those rules, do not re-teach them here.
Reverse handoff — do NOT use this skill when:
- The ask is a single-sheet CSV-with-formatting tracker (no Dashboard sheet, no KPI cards, ≤ 1 chart) → go back to
officecli-xlsx. - The ask is a 3-statement / DCF / LBO financial model with blue-inputs / black-formulas / cross-sheet drivers → use
officecli-financial-model. - The ask is a weekly status report with one SUMIF summary and one chart over < 10 rows →
officecli-xlsx.
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.
- 14d ago Changed · +2 tokens per session e05a3718e4d4
- 1mo ago First seen · 416 lines · 157 tokens per session scan C 38cf745bb04c
officecli-data-dashboard is a skill published in the GitHub repository iOfficeAI/OfficeCLI (32,112 stars, last pushed 4d ago), licensed Apache-2.0. It adds 159 tokens to every session and 8,354 once invoked, about $0.0006 per session on Opus 5.5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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