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-prompt-save-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-prompt-save-en)<a href="https://agentmods.dev/skills/biraj2004/huashu-skills-english/huashu-prompt-save-en"><img src="https://agentmods.dev/badge/skills/biraj2004/huashu-skills-english/huashu-prompt-save-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-prompt-save-en"><img src="https://agentmods.dev/badge/skills/biraj2004/huashu-skills-english/huashu-prompt-save-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 | $0.00049 | $0.01895 |
| Opus 5.5 | $0.00020 | $0.00758 |
| Sonnet 5.5 | $0.00010 | $0.00379 |
| Haiku 4.5 | $0.00005 | $0.00189 |
Grade A, and why
huashu-prompt-save scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 222 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Prompt Categorisation & Saving
Automatically identifies prompt types, saves them to the appropriate category, and updates the index — a professional, structured capability.
When to Use
- The user says "save this prompt", "make a note of this", "store this one"
- The user pastes a prompt and says "help me organise this"
Core Features
- Automatic type identification: 5 main categories (Technical Development / Content Creation / Teaching Design / Product Consulting / General Tools)
- Extract key information: Purpose, source, applicable scenarios, key characteristics
- Auto-save:
[category]/prompt-[sequence]-[title].md - Update index: Add an entry to
INDEX.md
5 Category Rules
| Category | Keywords | Example |
param($m)
$inner = $m.Groups[1].Value
# Split by | and fix each cell separator
$cells = $inner -split '\|'
$fixedCells = $cells | ForEach-Object {
$cell = ---
name: huashu-prompt-save description: Automatically identifies the prompt type and saves it to the appropriate category (Technical / Content / Teaching / Product / General). Use when the user mentions "save prompt", "record prompt", or "organise prompts".
Prompt Categorisation & Saving
Automatically identifies prompt types, saves them to the appropriate category, and updates the index — a professional, structured capability.
When to Use
- The user says "save this prompt", "make a note of this", "store this one"
- The user pastes a prompt and says "help me organise this"
Core Features
- Automatic type identification: 5 main categories (Technical Development / Content Creation / Teaching Design / Product Consulting / General Tools)
- Extract key information: Purpose, source, applicable scenarios, key characteristics
- Auto-save:
[category]/prompt-[sequence]-[title].md - Update index: Add an entry to
INDEX.md
5 Category Rules
| Category | Keywords | Example |
|---|---|---|
| Technical Development | programming, debugging, code, optimisation | "Python Code Optimiser Prompt" |
| Content Creation | writing, copywriting, script, creative | "WeChat Article Generator" |
| Teaching Design | curriculum, teaching, explanation, training | "Knowledge Breakdown Prompt" |
| Product Consulting | requirements, product, users, growth | "User Needs Analysis Prompt" |
| General Tools | general, productivity, assistant | "Universal Translation Tool" |
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 First seen · 222 lines · 49 tokens per session scan A 837670f10fea
huashu-prompt-save is a skill published in the GitHub repository Biraj2004/huashu-skills-english (3 stars, last pushed 1mo ago), licensed MIT. It adds 49 tokens to every session and 1,895 once invoked, about $0.0002 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 2026-08-31.
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