openrig-user

openrig-user is a skill for Claude Code from mvschwarz/openrig. It costs 58 tokens per session (19,439 once invoked), scanned A, original, Apache-2.0.

A reference guide for the exact syntax, options, JSON formats, defaults, and error meanings of known OpenRig commands. It treats the current CLI help and implementation as the final authority when documentation differs.

In plain words
What is it for?
Using a known rig command or flag correctly and understanding its expected input, behavior, and errors.
Why use it?
It prevents mistakes caused by guessing command formats or relying on outdated instructions.

Skill for Claude Code

Written for Claude Code: SessionStart hook event. Also seen: mentions Claude Code; mentions Codex.

Part of the openrig-core plugin — 19 skills shipped together

Good fit Using a known rig command or flag correctly and understanding its expected input, behavior, and errors.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/mvschwarz/openrig/openrig-user
About the project

OpenRig is a software harness that coordinates Claude Code and Codex coding agents as one system, with agent teams defined in YAML and launched together. It is for organizing persistent teams of coding agents that can delegate work to specialists and return results or decisions. The catalogue lists 53 skills and one plugin as add-ons for OpenRig.

mvschwarz/openrig · 7,806 stars · on GitHub · openrig.dev

Install

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.

Any agent
npx skills add mvschwarz/openrig --skill openrig-user
Clone the repo
git clone --depth 1 https://github.com/mvschwarz/openrig

Made for: Claude Code.

Or install openrig-core, the plugin that ships this one along with the rest of its 19 skills.

Wrote 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.

agentmods badge for openrig-user

README.md
[![agentmods](https://agentmods.dev/badge/skills/mvschwarz/openrig/openrig-user/github.svg)](https://agentmods.dev/skills/mvschwarz/openrig/openrig-user)
Your own site
<a href="https://agentmods.dev/skills/mvschwarz/openrig/openrig-user"><img src="https://agentmods.dev/badge/skills/mvschwarz/openrig/openrig-user/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for openrig-user

Your own site · 80×15
<a href="https://agentmods.dev/skills/mvschwarz/openrig/openrig-user"><img src="https://agentmods.dev/badge/skills/mvschwarz/openrig/openrig-user.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 58 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 19,439 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00058 $0.19439
Opus 5.5 $0.00023 $0.07776
Sonnet 5.5 $0.00012 $0.03888
Haiku 4.5 $0.00006 $0.01944

Measured today against content hash fe40d7c0f341, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

openrig-user scanned grade A with 1 finding 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 today.

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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

For Vault, ask `vault.specialist` to do secrets-domain work rather than improvising curl or Vault CLI usage in unrelated agents.
packages/daemon/assets/plugins/openrig-core/skills/openrig-user/SKILL.md · 1,585 lines

How it starts

The opening of the file, as written. The whole thing — 1,585 lines — stays where its author put it; the contents beside it link to each section on GitHub.

OpenRig User

This is an as-built guide to the shipped rig CLI. Use current code and rig ... --help as ground truth if anything here ever conflicts with older planning docs.

Use the OpenRig builder guidance when changing OpenRig behavior, doctrine, or release posture.

Coordination trust boundary

Coordinate as openly as the trust boundary you actually control allows. Within a set of machines you own that already trust each other — they can reach each other's daemon URLs and the daemon itself requires no authentication — direct rig send, rig capture, and rig queue should just work. Don't invent bearer placeholders, allowlists, trust handshakes, or guest-reach restrictions the environment doesn't require.

Do not add or defend a restriction without naming the protected asset, the actual adversary, the blocked attack path, and the concrete consequence. Missing capability is not protection — repair the route, registration, runtime posture, or product defect directly. Arbitrary boundaries create constraint-induced circumvention: under goal pressure, agents build shadow transports, alternate credentials, and weaker proof instead of the direct authorized path. Keep only explicitly stated external or irreversible boundaries — public push / PR / publish, and destruction of canonical data.

Coordination primitives — when to use which

Three coordination surfaces, used together for forward-momentum work. Internalize this on first read — it shapes every turn you take in a rig.

rig send <seat> "<text>" — intra-pod direct messaging / nudges

Use when you need to ask a quick question or give a teammate context that does not carry handoff semantics. NOT for durable work. NOT for state that must survive across turns. The message lands in the target's pane; there is no durable queue record. The CLI prints Sent to ... (and Verified: yes/no with --verify); read the receipt and move on.

Example:

rig send dev-reviewer@example-project "The import report is ready; the durable handoff names its evidence." --verify

Read the full file on GitHub · 1,585 lines

Changes

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.

  1. today Changed · +151 lines fe40d7c0f341
  2. yesterday Changed · +4 lines 3f5670b9f027
  3. 3d ago Changed · +5 lines f8706f5f8811
  4. 5d ago Changed · +1 lines f5acb06f98c2
  5. 8d ago Changed · +6 lines 5f6ac4f04470
  6. 12d ago Changed · +5 lines 1c7c0c3ecf3e
  7. 15d ago Changed · +25 lines b866b2f7fbff
  8. 16d ago Changed · +1 lines 6fa8ad6e639d
  9. 1mo ago Changed · -9 lines ed4306282629
  10. 1mo ago First seen · 1,396 lines · 58 tokens per session scan A 224924d7c1db

Subscribe to this mod's changes

openrig-user is a skill published in the GitHub repository mvschwarz/openrig (7,806 stars, last pushed today), licensed Apache-2.0. It adds 58 tokens to every session and 19,439 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.