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 inline-widgetgit 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/inline-widget)<a href="https://agentmods.dev/skills/ginlix-ai/langalpha/inline-widget"><img src="https://agentmods.dev/badge/skills/ginlix-ai/langalpha/inline-widget/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/ginlix-ai/langalpha/inline-widget"><img src="https://agentmods.dev/badge/skills/ginlix-ai/langalpha/inline-widget.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Prompt Injection · line 52 Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
- medium Agent Snooping · line 19 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
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 | $0.00021 | $0.03328 |
| Opus 5.5 | $0.00008 | $0.01331 |
| Sonnet 5.5 | $0.00004 | $0.00666 |
| Haiku 4.5 | $0.00002 | $0.00333 |
Grade A, and why
inline-widget 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 28d 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 — 311 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Inline Widget
Render interactive HTML/SVG widgets directly inside the chat conversation using ShowWidget. Widgets appear inline between text — no sandbox, no preview URL, no side panel. They run JavaScript, so lean into making them interactive and explorable where it helps — something the user can sort, filter, toggle, and hover over, not just a static picture.
When to Use
- User wants a quick visualization embedded in the conversation (chart, metric card, data table)
- The visualization is self-contained — all data is embedded in the HTML, no server needed
- User wants interactivity within the chat: buttons, toggles, hover effects, animated charts
- The output is a single view — not a multi-page app or dashboard that needs routing
Use interactive-dashboard instead if: User needs a multi-page web app, server-side data, live data refresh, or complex interactivity requiring React/FastAPI.
Read .agents/skills/ui-design/SKILL.md for design quality — its color discipline, chart restraint, and anti-slop principles apply here too. Its font pairings and type scale, though, are for full documents; a widget sits on the chat surface, so use the host-font typography rules below instead.
ShowWidget API
ShowWidget(html: str, title: str | None = None, data_files: list[str] | None = None)
html: Raw HTML fragment — no<!DOCTYPE>,<html>,<head>, or<body>tagstitle: Optional metadata (not displayed to user)data_files: Optional list of sandbox file paths to make available aswindow.__WIDGET_DATA__
The HTML is rendered in a sandboxed iframe with:
- CDN libraries:
cdnjs.cloudflare.com,cdn.jsdelivr.net,unpkg.com,esm.sh - CSS theme variables: automatically injected (see Theme section)
sendPrompt('text'): global function to trigger follow-up chat messageswindow.__WIDGET_DATA__: dict of filename→content for files passed viadata_files- No network to non-CDN origins:
fetch()/XMLHttpRequestto arbitrary URLs are blocked by CSP — only CDN domains (cdnjs, jsdelivr, unpkg, esm.sh) are allowed. Usedata_filesfor sandbox files, or embed small data directly in HTML
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.
- 28d ago Changed 2ba130056e65
- 1mo ago First seen · 311 lines · 21 tokens per session scan A f675842f7822
inline-widget is a skill published in the GitHub repository ginlix-ai/LangAlpha (1,826 stars, last pushed today), licensed Apache-2.0. It adds 21 tokens to every session and 3,328 once invoked, about $0.0001 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 2026-08-30.
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