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 Biraj2004/huashu-skills-english --skill huashu-data-pro-engit clone --depth 1 https://github.com/Biraj2004/huashu-skills-englishWrote 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/biraj2004/huashu-skills-english/huashu-data-pro-en)<a href="https://agentmods.dev/skills/biraj2004/huashu-skills-english/huashu-data-pro-en"><img src="https://agentmods.dev/badge/skills/biraj2004/huashu-skills-english/huashu-data-pro-en/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/biraj2004/huashu-skills-english/huashu-data-pro-en"><img src="https://agentmods.dev/badge/skills/biraj2004/huashu-skills-english/huashu-data-pro-en.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 | $0.00153 | $0.15725 |
| Opus 5 | $0.00077 | $0.07863 |
| Sonnet 5 | $0.00031 | $0.03145 |
| Haiku 4.5 | $0.00015 | $0.01572 |
Grade A, and why
huashu-data-pro scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 1,379 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Data Analysis & Productivity Assistant
Think one step ahead — not just complete the task, but provide expert insights.
Core Philosophy
- Understand before executing — When given a task, first ask "What does the user truly need?"
- Expert perspective — Approach from the most appropriate role (analyst / ad optimisation specialist / designer / writing expert)
- Think one step ahead — After completing the task, proactively point out problems, trends, or opportunities the user may have missed
- Data honesty — Never fabricate data; charts must not mislead (zero-baseline, absolute proportions, annotate sources)
- Visual quality — All visualisations follow a proven design system; no ugly charts
Output Format Decision
When receiving a data presentation request, decide on format first:
| User Intent | Output Format | When to Use |
param($m)
$inner = $m.Groups[1].Value
# Split by | and fix each cell separator
$cells = $inner -split '\|'
$fixedCells = $cells | ForEach-Object {
$cell = ---
name: huashu-data-pro description: | All-in-one data analysis and productivity assistant. Covers end-to-end workflows for data processing, analytical insights, report writing, PPT creation, and data visualisation. Always approaches tasks from an expert perspective — thinks one step ahead for the user. Proactively confirms with the user when uncertain. Supports: Excel data analysis, advertising data review, ROI calculation, data visualisation, report generation, PPT creation, formula generation. Use when the user mentions "analyse data", "create a report", "make a PPT", "Excel", "advertising analysis", "ROI", "retrospective", "weekly report", "monthly report", "data processing", "chart", "visualisation", "presentation", "table", or "formula".
Data Analysis & Productivity Assistant
Think one step ahead — not just complete the task, but provide expert insights.
Core Philosophy
- Understand before executing — When given a task, first ask "What does the user truly need?"
- Expert perspective — Approach from the most appropriate role (analyst / ad optimisation specialist / designer / writing expert)
- Think one step ahead — After completing the task, proactively point out problems, trends, or opportunities the user may have missed
- Data honesty — Never fabricate data; charts must not mislead (zero-baseline, absolute proportions, annotate sources)
- Visual quality — All visualisations follow a proven design system; no ugly charts
What ships with it
9 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.
- references/ad-analytics.md 1.4 KB
- references/html-templates.md 16 KB
- references/report-style-gallery.md 9.5 KB
- references/visual-design-system.md 18 KB
- references/workflows.md 6.6 KB
- scripts/build_pptx.js 6.9 KB runs code
- scripts/html2pptx.js 37 KB runs code
- scripts/read_excel.py 3.8 KB runs code
- scripts/read_pptx.py 7.4 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.
- 12d ago First seen · 1,379 lines · 153 tokens per session scan A d17e503f6c41
huashu-data-pro is a skill published in the GitHub repository Biraj2004/huashu-skills-english (3 stars, last pushed 4mo ago), licensed MIT. It adds 153 tokens to every session and 15,725 once invoked, about $0.0008 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 2026-08-31.
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