Client Ids logo

Client Ids

Organization
LedgerHQ
client-ids

Privacy-protected ID management with @domain/entity-client-identity — DeviceId, UserId, DatadogId, export-rules.json

Overview

PublisherLedgerHQ
Repositoryledger-live
Skill nameclient-ids
Stars
622
Forks
491
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by LedgerHQ on GitHub. Read the source before you install it.

Installation

Install the Client Ids AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/LedgerHQ/ledger-live/tree/develop/.agents/skills/client-ids
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/LedgerHQ/ledger-live.git /tmp/ledger-live
mkdir -p .claude/skills
cp -r /tmp/ledger-live/.agents/skills/client-ids .claude/skills/client-ids
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Client Ids in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Client Ids on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Client Ids is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Client Identity Domain (@domain/entity-client-identity)

Privacy & Security

Sensitive identifiers (DeviceId, UserId, DatadogId) must always use the domain entity package:

  • Never use raw string IDs for devices, users, or analytics.
  • Always use DeviceId, UserId, or DatadogId classes from @domain/entity-client-identity.
  • ID values are only accessible through explicit export methods (e.g., exportUserIdForSomething()).
  • Every export method must be allowlisted in domain/entity/client-identity/export-rules.json.
  • Export IDs only at system boundaries (API calls, persistence) — never in the middle of processing.
  • toString() and toJSON() return [DeviceId:REDACTED] by design.

Package layout

PackageLocationWhat it contains
@domain/entity-client-identitydomain/entity/client-identity/DeviceId, UserId, DatadogId classes + Redux slice, selectors, persistence
@domain/api-push-devicesdomain/api/push-devices/RTK Query mutation + Redux sync middleware

Core Principles

1. All ID Usage Must Go Through This Package

  • Never create raw string IDs for devices, users, or analytics
  • Always use DeviceId, UserId, or DatadogId classes from @domain/entity-client-identity
  • IDs are protected by Symbols and automatically redacted in logs/JSON

2. Privacy Protection

  • IDs are stored in Symbol fields to prevent accidental access
  • toString() and toJSON() return [DeviceId:REDACTED] by default
  • Actual ID values are only accessible through explicit export methods

3. Explicit Use Cases

  • Every ID usage must be explicitly declared through a dedicated export method (e.g., exportUserIdForSomethingSomething())
  • Export methods represent specific, documented use cases and can only be called from allowlisted files
  • The export-rules.json file in domain/entity/client-identity/ serves as a registry of all allowed use cases
  • The check-export-rules.mjs script enforces the allowlist at build time

Usage Requirements

Using an existing ID for a new use case

  • Add a new export method on the class (e.g., exportUserIdForSomethingSomething())
  • Add your file to domain/entity/client-identity/export-rules.json:
    json
    {
      "domain/entity/client-identity/src/ids/UserId.ts": {
        "exportUserIdForSomethingSomething": [
          "your/new/file/path.ts"
        ]
      }
    }
  • Use the method only from the allowlisted file (at the system boundary)

Introducing a new kind of ID

  • Create a new class in domain/entity/client-identity/src/ids/ (e.g., NewId.ts)
  • Follow the pattern from DeviceId.ts: Symbol storage, redacted toString/toJSON, export methods
  • Add export methods with allowlist rules in export-rules.json
typescript
import { DeviceId } from "@domain/entity-client-identity";

// ✅ Correct: Use the domain entity
const deviceId = DeviceId.fromString("device-123");

// ❌ Wrong: Don't use raw strings
const deviceId = "device-123"; // BAD

Frequently asked questions

What does the Client Ids AI skill do?

Privacy-protected ID management with @domain/entity-client-identity — DeviceId, UserId, DatadogId, export-rules.json

Why use Client Ids on TypingMind?

Because you install it once and use it with any model. Client Ids is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Client Ids in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/LedgerHQ/ledger-live/tree/develop/.agents/skills/client-ids. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Client Ids?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Client Ids?

As many as you like. As long as a model supports skills, you can use Client Ids with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Client Ids AI skill free?

Yes. It is published on GitHub by LedgerHQ under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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