Home / ginlix-ai / langalpha · plugins/langalpha_deliverables/skills/interactive-dashboard/SKILL.md · GitHub

interactive-dashboard skillC

interactive-dashboard is agent-read markdown (skill) from ginlix-ai/langalpha: Interactive web dashboards: stock trackers, sector heatmaps, portfolio monitors, served via preview URL.

Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.

What the file says

# Interactive Dashboard

Build interactive web dashboards inside the sandbox and expose them to the user via `GetPreviewUrl`. Use this skill for any request involving dashboards, trackers, monitors, live visualizations, or interactive web apps.

## When to Use

Use this skill for a **live, served web app** — one that needs a running server, not a single file:

- User asks for a **dashboard**, **tracker**, or **monitor** that **refreshes live data** (polling, auto-update)
- The app needs **server-side logic** — filtering/screening over a large dataset, on-demand fetches, computed endpoints
- **Multi-page / routed** apps, or anything that needs React-level component interactivity
- The dataset is **too large to embed** in a single HTML file
- User explicitly says "preview", "web view", "web app", or wants it running at a URL

**Do NOT use if:**
- User wants a **self-contained HTML report** — even an *interactive* one (sortable tables, tabs, hover/zoom charts) over a **data snapshot**. That's `.agents/skills/html-report/SKILL.md`: one file in the task directory, keepable, printable, PDF-exportable, share-linkable. Interactivity by itself does **not** require a dashboard.
…

Read the whole file at its exact version.

How to install

Latest version
mdr add ginlix-ai/langalpha/interactive-dashboard@git:20260921.26f807b
Exact content
mdr add ginlix-ai/langalpha/interactive-dashboard@sha256:7027d0ab05805ebf

Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_gw6h7dqbgzoeszl4.svg)](https://markdownregistry.com/a/art_gw6h7dqbgzoeszl4)

1 badge views in 30 days

Versions

versioncommittedcommitsizeaudit
git:20260921.26f807b latest2026-09-21 26f807b 33,747 BC view · diff
git:20260915.83337aa2026-09-15 83337aa 33,832 BC view · diff
git:20260901.36fbb3c2026-09-01 36fbb3c 33,835 BC view · diff
git:20260826.8da358a2026-08-26 8da358a 33,818 BC view

Audit of the latest version

C  15 of 17 checks passed. Deterministic, no model, same answer every run.
  • fail: No link to a raw IP address (matched: http://127.0.0.1:8050)
  • fail: No script tag (matched: <script)
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (33747 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters

Source

GitHub

ginlix-ai/langalpha · 1,774 stars · license Apache-2.0 · pushed 2026-09-24 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_gw6h7dqbgzoeszl4
GET https://markdownregistry.com/api/v1/resolve?ref=ginlix-ai/langalpha/interactive-dashboard
GET https://markdownregistry.com/api/v1/blob/7027d0ab05805ebfe1704368ff843dbc94c645a8f86320f36e21741b6077d198

Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

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