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.
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 skills add mvschwarz/openrig --skill queue-handoffgit 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/queue-handoff)<a href="https://agentmods.dev/skills/mvschwarz/openrig/queue-handoff"><img src="https://agentmods.dev/badge/skills/mvschwarz/openrig/queue-handoff/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.
<a href="https://agentmods.dev/skills/mvschwarz/openrig/queue-handoff"><img src="https://agentmods.dev/badge/skills/mvschwarz/openrig/queue-handoff.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 5.1 | $0.00094 | $0.02812 |
| Opus 5.5 | $0.00038 | $0.01125 |
| Sonnet 5.5 | $0.00019 | $0.00562 |
| Haiku 4.5 | $0.00009 | $0.00281 |
Grade A, and why
queue-handoff 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 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.
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 — 181 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Queue Handoff
Durable work handoff via queue items. Lets the system keep moving through compactions, missed messages, and interruptions by passing the ball forward instead of leaving work suspended in chat or in-flight without an owner.
Use this when
- Ending a turn on substantive work. Active work should end by passing the ball to an owner or to the human — never by going idle with the rig appearing dormant.
- Finishing a slice that has a clear next step. Default-nudge: receiver gets a wake-ping plus the durable queue item.
- Blocked on another agent's work. Park the qitem with
closure_reason: blocked_onand the blocker qitem id. - Escalating to the human. Make the escalation a durable attention item, not just a chat message.
Don't use this when
- The work is genuinely complete and there's no follow-on owner. Use
closure_reason: no-follow-on(terminal completion) orcanceled/deniedas appropriate. - The handoff would be too small and turn work into bureaucracy. Bundle the work into a coherent slice instead of decomposing every step.
- The handoff would be too broad and lose ownership/proof/closure criteria. Shape the qitem so the receiver knows the expected next action and closure evidence.
The hot-potato terminal-turn-rule
Active work ends by passing the ball to a named next owner or to the human. The qitem state machine enforces this:
pending → in-progress → done requires closure_reason from one of:
handed_off_to— work continues at a different seat (target = new owner)blocked_on— parked pending another qitem (target = blocker qitem id)denied— receiver rejected the workcanceled— sender or receiver withdrewno-follow-on— terminal completion, nothing else neededescalation— kicked up to a higher tier (target = escalation target)
Three of those (handed_off_to, blocked_on, escalation) additionally
require closure_target. The daemon enforces this at the domain layer;
every surface (CLI, MCP, future UI) inherits the same guarantee.
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.
- today Changed · +7 lines 6fdb9874ad3f
- 15d ago Changed · -18 lines d4d7e3e87728
- 1mo ago Changed · -1 lines 118942b0b67d
- 1mo ago First seen · 193 lines · 94 tokens per session scan A c38a5b814158
queue-handoff is a skill published in the GitHub repository mvschwarz/openrig (7,706 stars, last pushed today), licensed Apache-2.0. It adds 94 tokens to every session and 2,812 once invoked, about $0.0004 per session on Opus 5.5. 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
gh-file-issue
Use when filing a new Codewhale GitHub issue: turn a bug or idea into a well-formed, actionable issue with repro, acceptance criteria, labels, and milestone.
gh-treasure-hunt
Hunt the issue/PR queue for highest value-over-risk wins: clean focused community PRs, already-implemented issues to close, safe quick-fixes.
gh-assign-issues
Use to assign GitHub issues to a milestone and/or owners in bulk, verifying each.
swarm-plan
Full execution protocol for MODE: PLAN -- plan creation, external plan ingestion, QA gate persistence, task granularity, and traceability checks.
client-onboarding
Use when a deal closed or a user signed up and the first 30 days need an activation plan: sales→delivery handoff, one verifiable activation event, kickoff, and a 30/60/90 or day-0→14 plan with owners, dates and a measurable exit. NOT reactive ticket triage (that is customer-support), NOT renewals/churn past the…
procurement
Use when a small operator must choose what to buy and from whom: pick a supplier, write an RFI/RFQ/RFP that returns comparable bids, score quotes on total cost of ownership, negotiate price and payment terms, or judge single-source risk. NOT redlining the purchase agreement (that is contracts), NOT the price you…