LangAlpha is an agent workspace for researching financial markets and supporting investment decisions through persistent research, news analysis, and parallel subagents. It is for investors who want to develop and update trading theses over time, including generating long-short pair-trade ideas. The catalogue entries provide the skills, instructions, MCP servers, and plugin that make up its agent workflow.
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 ginlix-ai/LangAlpha --skill ui-designgit clone --depth 1 https://github.com/ginlix-ai/LangAlphaWrote 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/ginlix-ai/langalpha/ui-design)<a href="https://agentmods.dev/skills/ginlix-ai/langalpha/ui-design"><img src="https://agentmods.dev/badge/skills/ginlix-ai/langalpha/ui-design.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 5.1 | $0.00024 | $0.02802 |
| Opus 5 | $0.00012 | $0.01401 |
| Sonnet 5 | $0.00005 | $0.00560 |
| Haiku 4.5 | $0.00002 | $0.00280 |
Grade A, and why
ui-design 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 7d 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 — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.
UI Design
A design-quality reference for any visual output you produce. It exists to make that output look like it came from a research desk, not a marketing landing page or a generic AI template.
Read this before producing any styled output — it covers design taste: typography, color, composition, and restraint. The examples below are HTML/CSS (the most common surface), but the principles apply to any visual you render — charts and images, PDFs, on-screen layouts — not just HTML.
This skill exists to help you match the user's personal frontend style and UI preferences — those always win over the defaults below. If the user has stated a taste — in this conversation, in your long-term memory, or in their saved preferences — it outranks every rule here. They want a specific brand color, a chosen font, a different accent, dark-only, no serif? Do that. The directions below are strong defaults for when the user hasn't expressed a preference; they are never a license to overrule the user's explicit style.
These are reference defaults, not a cage. They anchor quality and steer you off generic, lazy output — they don't replace your own judgment. When you have a clearly better, coherent choice for the specific content, take it. The only non-negotiables are the hard constraints: WCAG AA contrast, green/red reserved for profit/loss, and the theme-variable + print mechanics. The specific palette, font pairings, and exact scale below are strong starting points you are free to improve on.
The Tone: Research Desk, Not Marketing Page
The audience is a portfolio manager, analyst, or sophisticated investor reading a research note. They want dense, scannable, credible information design — the visual language of a sell-side note, a Bloomberg terminal, or a quality print newspaper's business section. Not a SaaS hero page.
This means:
- Information density over whitespace theatre. A research reader expects a high signal-per-screen ratio.
- Restraint over decoration. No hero gradients, no oversized rounded cards floating on pastel backgrounds, no "Get Started" energy.
- Numbers are the protagonist. Tables, figures, and charts carry the page; prose supports them.
- Credibility cues: sources cited, dates stamped, units labelled, precision consistent.
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.
- 7d ago First seen · 147 lines · 24 tokens per session scan A 53918fc89f96
ui-design is a skill published in the GitHub repository ginlix-ai/LangAlpha (1,726 stars, last pushed today), licensed Apache-2.0. It adds 24 tokens to every session and 2,802 once invoked, about $0.0001 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.
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