DeepSeek++ is a browser extension that turns the DeepSeek website into an AI workspace with tools, memory, skills, media analysis, and automation. DeepSeek users employ it to manage projects, control browser pages, search the web, reuse context, and export conversations, while the catalogue entries add skills and instructions for that workspace.
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 zhu1090093659/deepseek-pp --skill officecli-data-dashboardgit clone --depth 1 https://github.com/zhu1090093659/deepseek-ppWrote 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/zhu1090093659/deepseek-pp/officecli-data-dashboard)<a href="https://agentmods.dev/skills/zhu1090093659/deepseek-pp/officecli-data-dashboard"><img src="https://agentmods.dev/badge/skills/zhu1090093659/deepseek-pp/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/zhu1090093659/deepseek-pp/officecli-data-dashboard"><img src="https://agentmods.dev/badge/skills/zhu1090093659/deepseek-pp/officecli-data-dashboard.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 | $0.00157 | $0.08109 |
| Opus 5 | $0.00078 | $0.04054 |
| Sonnet 5 | $0.00031 | $0.01622 |
| Haiku 4.5 | $0.00016 | $0.00811 |
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 10d 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` This is a copy
97% identical to officecli-data-dashboard — 61 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 409 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 (preset, referenceline, trendline, axisNumFmt, holesize, combosplit) 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:
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.
- 10d ago First seen · 409 lines · 157 tokens per session scan C d55f5892f389
officecli-data-dashboard is a skill published in the GitHub repository zhu1090093659/deepseek-pp (1,818 stars, last pushed 27d ago), licensed Apache-2.0. It adds 157 tokens to every session and 8,109 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). It is 97% identical to officecli-data-dashboard, differing in 61 lines, and is treated as a copy.
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