openrig-skills skillA
openrig-skills is agent-read markdown (skill) from mvschwarz/openrig: Use when you're operating OpenRig and need the right skill or context for fleet recovery, seat handover, new-seat orientation, a watchdog wake, cross-host reach to an agent on another machine, rig packaging, an OpenRig upgrade, systematic debugging, queue triage, or implementation planning; also use when you don't know what applies or nothing is projected on cold boot..
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
# OpenRig skills — the index (start here) You're running inside OpenRig. OpenRig ships a set of **skills** — small documents that tell you *when* to do something and *how*. This file is the map: what ships, when to reach for each, and how to load it. If you don't know which skill applies, or nothing is projected into your context, **start here.** ## How OpenRig context works (30 seconds) Skills are **progressive disclosure**: a skill's *name + description* sit in your context ambiently (the "hot tier"); its *body* loads only when you open it. So you don't pre-read everything — you pattern-match a skill's "when" to your moment, then open just that one. This file is the index over the whole shipped set. (For bounded procedures, open `agent-operated-workflows`; for ongoing agent-backed applications, open `agent-operated-software`.) Every row below names **how to reach the skill** — already-hot, or an exact load path. No row is a dead end. ## Loading an entry on demand — `rig context get` Don't guess a file path or a name. Go **ask → ref → load** in three steps: 1. **Discover** — run `rig context list` for every shipped entry's **ref** and name. The *when* for …
Read the whole file at its exact version.
How to install
mdr add mvschwarz/openrig/openrig-skills@git:20260925.4940c10mdr add mvschwarz/openrig/openrig-skills@sha256:15b084e35264e457Pin 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_k56ztyrw7zyqiiws)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260925.4940c10 latest | 2026-09-25 | 4940c10 | 9,926 B | A | view · diff |
| git:20260924.b131334 | 2026-09-24 | b131334 | 9,842 B | A | view · diff |
| git:20260924.767cc70 | 2026-09-24 | 767cc70 | 9,821 B | A | view · diff |
| git:20260904.e952d4e | 2026-09-04 | e952d4e | 9,595 B | A | view · diff |
| git:20260901.0b86028 | 2026-09-01 | 0b86028 | 9,230 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 (9926 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_k56ztyrw7zyqiiws GET https://markdownregistry.com/api/v1/resolve?ref=mvschwarz/openrig/openrig-skills GET https://markdownregistry.com/api/v1/blob/15b084e35264e45740b8a0043a7061cd329b71c5722fb47d103fb631f7303a51
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.