forming-an-openrig-mental-model skillA
forming-an-openrig-mental-model is agent-read markdown (skill) from mvschwarz/openrig: Use when the system around you does not make sense yet: you just booted into a seat and do not know how the pieces fit; someone said rig, pod, seat, fleet, topology, or slice and you are not certain what they mean here; you are unsure what kind of rig you are in or what it is for; you do not know how skills reach you or where context comes from; or you are about to act on a guess about how OpenRig works. Gives the runtime mental model fast, so you stop guessing..
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
# Forming an OpenRig Mental Model You're new to OpenRig — or returning after time away — and you need to quickly understand what kind of system this is, what your seat is, and what the moves are. This skill is the fast on-ramp. For depth, read the canonical reference docs the skill points to. This skill's job is to get you *oriented* — accurate enough to operate, fast enough to be useful — not to replace the canonical docs. --- ## The 60-second mental model OpenRig is a **local control plane for multi-agent coding topologies**. You declare a topology of agents in YAML, boot it with one command, and OpenRig manages tmux sessions, harness lifecycles, transcripts, snapshots, and restoration. When the system goes down, OpenRig snapshots; when it comes back, agents resume their conversations. The product loop: ``` down (auto-snapshot) → up <rig-name> (auto-restore) → work → repeat ``` The unit of work is the **rig** — a topology of agents working together as a single system. --- ## The four-layer model (where you live) Everything in agent engineering happens at one of four layers. **OpenRig operates at Layer 3.** | Layer | Name | Analogy | What it is | |---|---|---|---| …
Read the whole file at its exact version.
How to install
mdr add mvschwarz/openrig/forming-an-openrig-mental-model@git:20260907.9006fc5mdr add mvschwarz/openrig/forming-an-openrig-mental-model@sha256:cff1ca1640fec65bPin 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_m4csogq5j7fwjqqu)
0 badge views in 30 days
Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260907.9006fc5 latest | 2026-09-07 | 9006fc5 | 15,933 B | A | view · diff |
| git:20260904.e952d4e | 2026-09-04 | e952d4e | 15,826 B | A | view · diff |
| git:20260830.034606a | 2026-08-30 | 034606a | 15,814 B | A | view · diff |
| git:20260826.bdc404f | 2026-08-26 | bdc404f | 16,068 B | A | view · diff |
| git:20260805.864cea6 | 2026-08-05 | 864cea6 | 15,984 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 (15933 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
mvschwarz/openrig · 362 stars · license Apache-2.0 · pushed 2026-09-25 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_m4csogq5j7fwjqqu GET https://markdownregistry.com/api/v1/resolve?ref=mvschwarz/openrig/forming-an-openrig-mental-model GET https://markdownregistry.com/api/v1/blob/cff1ca1640fec65b180539a2c6c3c9044d73aa02f9d13d0d24763446ac974da0
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.