onboarding SKILL.md skillA

onboarding from ginlix-ai/langalpha is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add ginlix-ai/langalpha/onboarding@git:20261021.9886e35

Pins git:20261021.9886e35 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
ginlix-ai/langalpha
Path
plugins/langalpha_service/skills/onboarding/SKILL.md
Versions recorded
4
Latest version
git:20261021.9886e35, committed Oct 21, 2026
First version recorded
Aug 26, 2026
Size
12,543 bytes
Repository stars
2,249
License
Apache-2.0

First run after the user saves their investing profile: import holdings and watchlists from the brokerage they connected or the screenshots they attached, then propose three first tasks (one on their portfolio or watchlist, one from their profile, one on today's market) and do the one they pick.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Onboarding

This is the user's first conversation. They have just finished onboarding, where a form took their investing profile (investor type, experience, instruments they want to trade, risk level, holding horizon, markets, what they want help with, analysis approaches, styles, sectors and brokerages) and how they want you to work with them (how much research a question gets, what an answer usually looks like, and when to reach out). It is saved, and the Investment Profile and Agent Preferences sections of your system prompt show it. Never ask for any of it again. This turn puts their holdings in place, proposes three ways to start, and does the one they pick.

The kickoff instruction carries `Action`, `Brokerage` (the brokerages the user connected, or `none`) and `Language`. With `Action: propose` the user wrote nothing: the app opened this conversation for them as they finished, and your reply is the first thing they see in it. With `first_task`, the message is something they wrote themselves: a task, a question, or context about them. Three more fields appear only when they have a value:
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add ginlix-ai/langalpha/onboarding@sha256:b7e1f8f8b83c8edb

The line at the top of this page pins the label git:20261021.9886e35, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_mzwe4x2quy57wkky.svg)](https://markdownregistry.com/a/art_mzwe4x2quy57wkky)

5 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 4 versions of this file, between Aug 26, 2026 and Oct 21, 2026, about one every 18 days.

versioncommittedcommitsizeaudit
git:20261021.9886e35 latest2026-10-21 9886e35 12,543 BA view · diff
git:20261020.893c1ac2026-10-20 893c1ac 12,196 BA view · diff
git:20261008.6d4ab172026-10-08 6d4ab17 3,837 BA view · diff
git:20260826.8da358a2026-08-26 8da358a 12,006 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (12543 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
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

ginlix-ai/langalpha · 2,249 stars · license Apache-2.0 · pushed 2026-11-08 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_mzwe4x2quy57wkky
GET https://markdownregistry.com/api/v1/resolve?ref=ginlix-ai/langalpha/onboarding
GET https://markdownregistry.com/api/v1/blob/b7e1f8f8b83c8edbdc01b1ef3d3b442af61a377db438a88aa7da928eea1d9f98

Your AI assistant 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.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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