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 agentmods add skills/ginlix-ai/langalpha/html-reportnpx skills add ginlix-ai/LangAlpha --skill html-reportgit 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/html-report)<a href="https://agentmods.dev/skills/ginlix-ai/langalpha/html-report"><img src="https://agentmods.dev/badge/skills/ginlix-ai/langalpha/html-report.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 | $0.00029 | $0.04466 |
| Opus 5 | $0.00015 | $0.02233 |
| Sonnet 5 | $0.00006 | $0.00893 |
| Haiku 4.5 | $0.00003 | $0.00447 |
Grade A, and why
html-report 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 2d 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 — 288 lines — stays where its author put it; the contents beside it link to each section on GitHub.
HTML Report
Author a styled, self-contained HTML document and write it into the task directory (e.g. work/amd_analysis/report.html). The file panel renders it with full browser semantics — JavaScript runs, CDN libraries load, relative assets resolve, and the user can view it fullscreen, open it in a new tab, download it, or export it to PDF.
This is the right output when the user wants a deliverable they can keep, share, or print — an equity research note, an earnings recap, a screen writeup — not a throwaway answer.
Read
.agents/skills/ui-design/SKILL.mdbefore authoring. It defines the typography, color, and composition standards that keep the report looking like a research desk artifact rather than a generic AI page. This skill covers the mechanics; that one covers the taste.
User preferences override these defaults. Anything the user has told you — in this conversation, in your long-term memory, or in their saved preferences/memos — outranks every rule in this skill. If they want a different structure, no charts, a specific set of sections, or a particular file layout, do that. (Visual taste — fonts, color, accent, light/dark — is
.agents/skills/ui-design/SKILL.md's domain; that skill defers to the user's stated style.) Treat the rules here as sensible defaults for when the user hasn't specified.
Decide: Which Output?
A report from this skill can be interactive (sortable tables, tab/filter controls, hover- and zoomable charts — see Interactivity, below). So interactivity is not what separates it from a dashboard. The real divide is self-contained snapshot file vs. live served app:
| Want | Use | Why |
|---|---|---|
| A document the user keeps, shares, or exports to PDF — even one that's interactive within itself | html-report (this skill) — .html in work/<task_name>/ |
One file on disk, served with real semantics, PDF-exportable. Interactivity runs client-side over an embedded data snapshot. |
| A quick visualization inside the chat (one chart, a metric row, a table) | inline-widget (ShowWidget) |
Appears inline between text; no file, no panel |
| A live served app — refreshing data, server-side compute, multi-page routing, or a dataset too large to embed | interactive-dashboard (GetPreviewUrl) |
A running app with a backend, not a static file. Needed when the data must be fetched live, not embedded. |
| A simple, short answer | plain markdown | A styled HTML document is overkill for a one-paragraph reply |
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.
- 2d ago Changed · +3 lines · +2 tokens per session 61c222191487
- 5d ago First seen · 285 lines · 27 tokens per session scan A e1702c545f57
html-report is a skill published in the GitHub repository ginlix-ai/LangAlpha (1,720 stars, last pushed yesterday), licensed Apache-2.0. It adds 29 tokens to every session and 4,466 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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