Home / ginlix-ai / langalpha · plugins/langalpha_service/skills/user-profile/SKILL.md · GitHub

user-profile skillA

user-profile is agent-read markdown (skill) from ginlix-ai/langalpha: Manage user profile including watchlists, portfolio, and preferences..

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

# User Profile Skill

This skill provides 3 unified tools for managing user data:
- `get_user_data` - Read user data
- `update_user_data` - Create or update user data
- `remove_user_data` - Delete user data

You should call these tools directly instead of using ExecuteCode tool.

---

## Tool 1: get_user_data

Retrieve user data by entity type.

### Entities

| Entity | Description | entity_id |
|--------|-------------|-----------|
| `all` | Complete user data (profile, preferences, watchlists with items, portfolio) | Not used |
| `profile` | User info (name, timezone, locale) | Not used |
| `preferences` | All preferences (risk, investment, agent) | Not used |
| `watchlists` | List of all watchlists | Not used |
| `watchlist_items` | Items in a specific watchlist | Optional watchlist_id |
| `portfolio` | All portfolio holdings | Not used |

### Examples

```python
# Get complete user data (recommended for initial context)
get_user_data(entity="all")
# Returns: {
#   "profile": {"name": "John", "timezone": "America/New_York", "locale": "en-US"},
#   "preferences": {"risk_preference": {...}, "investment_preference": {...}, ...},
…

Read the whole file at its exact version.

How to install

Latest version
mdr add ginlix-ai/langalpha/user-profile@git:20260826.8da358a
Exact content
mdr add ginlix-ai/langalpha/user-profile@sha256:7222e376e5947747

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_5afusf7m66ql2tv7.svg)](https://markdownregistry.com/a/art_5afusf7m66ql2tv7)

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Versions

versioncommittedcommitsizeaudit
git:20260826.8da358a latest2026-08-26 8da358a 10,959 BA view

Audit of the latest version

A  17 of 17 checks passed. Deterministic, no model, 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 (10959 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 · 1,774 stars · license Apache-2.0 · pushed 2026-09-24 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_5afusf7m66ql2tv7
GET https://markdownregistry.com/api/v1/resolve?ref=ginlix-ai/langalpha/user-profile
GET https://markdownregistry.com/api/v1/blob/7222e376e59477476efdaa99aa670ea42087d8796309db181214c2fa40cf7d5a

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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