orderly-onboarding skillA
orderly-onboarding is agent-read markdown (skill) from starchild-ai-agent/official-skills: Orderly Network onboarding: omnichain perps infra, MCP server, SDK and CLI quickstart. Also indexes executed Orderly fills into Starchild trade analytics. Use when starting on Orderly (e.g. install Orderly MCP, set up the DEX template, integrate the React SDK, use the orderly CLI), and after executing any Orderly trade — report the fill so it is indexed..
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
# Orderly Network: Agent Onboarding Orderly is an omnichain orderbook-based trading infrastructure providing perpetual futures liquidity for decentralized exchanges. This skill is your starting point for building on or learning about Orderly Network. ## When to Use - First time encountering Orderly Network - Setting up AI agent tools for Orderly development - Understanding the Orderly ecosystem and offerings - Finding the right skill or resource for your task - Understanding what tools are available for AI agents ## What is Orderly Network Orderly is a combination of an orderbook-based trading infrastructure and a robust liquidity layer offering perpetual futures orderbooks. Unlike traditional platforms, Orderly doesn't have a front end—it operates at the core of the ecosystem, providing essential services to projects built on top. **Key Characteristics:** - **Omnichain CLOB**: Shared Central Limit Order Book accessible from all major EVM chains and Solana - **Backend Infrastructure**: No official front end; builders create DEXes and trading interfaces on top - **On-chain Settlement**: All trades settle on-chain while maintaining full self-custody …
Read the whole file at its exact version.
How to install
mdr add starchild-ai-agent/official-skills/orderly-onboarding@v1.2.0mdr add starchild-ai-agent/official-skills/orderly-onboarding@sha256:3e40d592e5a36508Pin 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.
[](https://markdownregistry.com/a/art_ta5indaphwnxlvsb)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.2.0 latest | 2026-09-04 | 192e8a6 | 28,739 B | A | view · diff |
| v1.2.0 | 2026-09-04 | e14122d | 28,532 B | A | view · diff |
| v1.2.0 | 2026-09-04 | a3d7339 | 27,969 B | A | view · diff |
| v1.1.2 | 2026-09-04 | 39769a9 | 27,969 B | A | view · diff |
| v1.1.2 | 2026-07-28 | a51c7d8 | 26,719 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (28739 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
starchild-ai-agent/official-skills · 28 stars · license none · pushed 2026-09-18 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_ta5indaphwnxlvsb GET https://markdownregistry.com/api/v1/resolve?ref=starchild-ai-agent/official-skills/orderly-onboarding GET https://markdownregistry.com/api/v1/blob/3e40d592e5a36508e53553584cde9d62e34f03e85c39e39a5e00c9131117451e
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.