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 agentmods add skills/mengps/pyhuskarui/huskaruinpx skills add mengps/PyHuskarUI --skill huskaruigit clone --depth 1 https://github.com/mengps/PyHuskarUIWrote 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/mengps/pyhuskarui/huskarui)<a href="https://agentmods.dev/skills/mengps/pyhuskarui/huskarui"><img src="https://agentmods.dev/badge/skills/mengps/pyhuskarui/huskarui.svg" alt="Measured on agentmods" 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 | $0.00039 | $0.01340 |
| Opus 5 | $0.00019 | $0.00670 |
| Sonnet 5 | $0.00008 | $0.00268 |
| Haiku 4.5 | $0.00004 | $0.00134 |
Grade A, and why
HuskarUI 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 5d 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 — 143 lines — stays where its author put it; the contents beside it link to each section on GitHub.
HuskarUI
Use this skill whenever the agent needs HuskarUI component knowledge or must generate UI that should follow HuskarUI conventions. Treat Python query results as the primary source of truth. Read source files only for verification. guide.metainfo.json and query_metainfo.py are always located in <SKILL_DIR>.
When To Use
Invoke this skill proactively when any of the following is true:
- The agent needs to know which HuskarUI component matches a requested control, pattern, or interaction.
- The agent needs examples or usage guidance for a HuskarUI component.
- The user asks for HuskarUI-first QML code such as a page, dialog, toolbar, form, navigation area, or card.
- The agent is unsure whether to use HuskarUI or native QtQuick for a visible control.
- The agent needs to search the HuskarUI component set before proposing an implementation.
Capabilities
- List: Return all available component titles.
- Lookup: Return component documentation and embedded examples for an exact component name.
- Search: Find candidate components by keyword across titles and docs.
- Component Mapping: Map generic UI requests to HuskarUI components before code generation.
- HuskarUI-first Guidance: Prefer HuskarUI controls over native QtQuick when a suitable component exists.
Critical Rules
These rules are always enforced. Follow them in this order.
Metadata
- Always use Python first. Query metadata before answering from memory.
- Never read the full
guide.metainfo.jsondirectly. Usequery_metainfo.py. - Use exact lookup for known component names. Do not guess APIs or examples.
- Use keyword search for generic UI needs. Search by role such as
button,dialog,avatar,table,navigation.
Component Selection
- Prefer HuskarUI for visible controls. Buttons, inputs, avatars, dialogs, tables, navigation, and common widgets should map to HuskarUI first.
- Use native QtQuick only when HuskarUI has no suitable component or when the need is clearly low-level layout, animation, or primitives.
- Do not mix HuskarUI and native controls for the same role without a clear reason.
- If no HuskarUI component fits, say so explicitly before falling back to native QtQuick.
What ships with it
2 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.
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.
- 5d ago First seen · 143 lines · 39 tokens per session scan A 1512f6289222
HuskarUI is a skill published in the GitHub repository mengps/PyHuskarUI (116 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 39 tokens to every session and 1,340 once invoked, about $0.0002 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 2026-08-30.
Other skills, from other repositories
HuskarUI
Queries HuskarUI metadata with Python and guides HuskarUI-first QML/C++ code. Invoke when choosing components, checking examples, or generating HuskarUI UI.
QmlPreviewer
Auto-detects the active QML file from editor context, runs qmlscene, and copies the rendered image to the clipboard by default. Invoke proactively when the agent needs to preview or visually verify a QML UI.
python-binance
Help developers use the python-binance library for trading on Binance. Use when code imports binance, references Client/AsyncClient, or asks about Binance API trading, market data, websockets, or account management.
antd
Use when the user's task involves Ant Design (antd) — writing antd components, debugging antd issues, querying antd APIs/props/tokens/demos, migrating between antd versions, or analyzing antd usage in a project. Triggers on antd-related code, imports from 'antd', or explicit antd questions.
humble-header-analyst
Expert-level parsing and remediation of 'humble' HTTP security header reports. Use this skill whenever the user provides a report generated by 'humble' (https://github.com/rfc-st/humble), mentions analyzing HTTP response headers, security header grades (A-E), or asks for remediation of findings such as missing…
b123d-modeling
Use this skill when asked to model, build, or modify a 3D part or assembly with build123d — from a text description, a technical drawing (image or PDF), dimensions in a spec, or an existing STEP/STL file.