Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/mvschwarz/openrig/openrig-operating-modelnpx skills add mvschwarz/openrig --skill openrig-operating-modelgit clone --depth 1 https://github.com/mvschwarz/openrigWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/mvschwarz/openrig/openrig-operating-model)<a href="https://agentmods.dev/skills/mvschwarz/openrig/openrig-operating-model"><img src="https://agentmods.dev/badge/skills/mvschwarz/openrig/openrig-operating-model.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00113 | $0.05618 |
| Opus 5 | $0.00056 | $0.02809 |
| Sonnet 5 | $0.00023 | $0.01124 |
| Haiku 4.5 | $0.00011 | $0.00562 |
Grade A, and why
openrig-operating-model scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 398 lines — stays where its author put it; the contents beside it link to each section on GitHub.
The OpenRig Operating Model
Canonical term: the Operating Model. How an OpenRig topology organizes every
kind of context so that any agent — cold, fresh, or five generations in — can
find what it needs and knows where to write what it learns. Everything below
runs on markdown files, scripts, and conventions only; the rig verbs that
formalize pieces of it are conveniences, never dependencies.
Boundary (2026-08-11): this skill owns the STRUCTURE (trees, chains, trace,
write protocol). The SUPPLY layer — how canon content flows into the chains:
addresses, maps, renders, EMM maturity, census — is openrig-corpus-canon,
the deliberate drain mechanism the dual-home interim anticipated.
Companion implementation assets in this skill's folder:
templates/andscripts/— starters and working tools, described in §8.
1. The model in one breath
Everything lives on one of two trees, and every kind of context is a chain: the same filename at every level of a tree. To know anything, you trace from where you are toward the root, reading that one filename at each level — nearer levels refine or override farther ones. The trace (§5) is the act of doing that ascent deliberately, with your own file reads.
- Topology tree — how work is done:
fleet → instance → rig → pod → seat. - Work tree — how the product gets built:
project → mission → slice → proof item.
An instance is one OpenRig daemon and the rigs it manages; a fleet is all instances. Where a daemon runs is a deployment fact, not an altitude — say the instance's name when you mean a particular one.
The one-parent law (design-ruled 2026-08-10): the trace follows the
directory path and NOTHING else — no pointer fields, no link-following, no
branching, ever. The trace is the instrument confused agents reach for, so it
must be simpler than anything it corrects: path-only ascent fails only in
obvious ways. A child that relates to a second parent gets an also-serves:
ANNOTATION (read by humans and agents, walked by nothing) — and a genuine
two-parent tie usually means the item belongs one level up, under the common
ancestor, with mentions pointing down. The operational many-to-many lives in
the queue's tags, which are maintained by use. Legacy serves: lines are
transition bridges for the flat layout only: never required, never walked,
deleted as work nests properly.
What ships with it
10 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- scripts/compose.py 29 KB runs code
- scripts/scaffold.sh 2.1 KB runs code
- scripts/trace-due.sh 1.5 KB runs code
- scripts/trace-stamp.sh 231 B runs code
- scripts/trunk-diff.sh 937 B runs code
- templates/LEARNED.md 1.4 KB
- templates/NOTES.md 370 B
- templates/PLAYBOOK.md 263 B
- templates/SOP.md 676 B
- templates/SPEC.md 2.5 KB
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 4d ago First seen · 398 lines · 113 tokens per session scan A f52dbced48f4
openrig-operating-model is a skill published in the GitHub repository mvschwarz/openrig (64 stars, last pushed 4d ago), licensed Apache-2.0. It adds 113 tokens to every session and 5,618 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
autoprompt
Explicit-only useful-first orchestration. Invoke /autoprompt to turn a mission into one executable roadmap, build dependency-safe lanes, and verify the result with independent reviewers. Never infer invocation from ordinary requests. Never resume from leftover artifacts without an explicit resume instruction.
autoprompt
Explicit-only useful-first orchestration. Invoke /autoprompt to turn a mission into one executable roadmap, build dependency-safe lanes, and verify the result with independent reviewers. Never infer invocation from ordinary requests. Never resume from leftover artifacts without an explicit resume instruction.
ap-feature-coordinator
L1 feature coordinator - drives approved ROADMAP.md lanes through their required build/review/verification gates and owns the run-wide feature frontier.
ap-fresh-verifier
L4 blind fresh verifier - independently checks a candidate roadmap or plan against the exact mission and repository; APPROVE/REJECT, default-FAIL.
ap-juror
L4 terminal leaf - G7 SIGN-OFF. One independent sign-off panel seat that saw none of the intermediate work. Binary PASS/FAIL on opened evidence; default-FAIL. A FAIL naming a P0/P1 blocker is NOT arbitrable into PASS.
ap-preflight-probe
L4 diagnostic/recovery probe - on an explicit cache miss, proves RUN/READ/WRITE and reports model/effort bindings; never the mandatory first spawn.