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/agent-startersnpx skills add mvschwarz/openrig --skill agent-startersgit 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/agent-starters)<a href="https://agentmods.dev/skills/mvschwarz/openrig/agent-starters"><img src="https://agentmods.dev/badge/skills/mvschwarz/openrig/agent-starters.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 | $0.00084 | $0.01440 |
| Opus 5 | $0.00042 | $0.00720 |
| Sonnet 5 | $0.00017 | $0.00288 |
| Haiku 4.5 | $0.00008 | $0.00144 |
Grade A, and why
agent-starters 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 3d 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 — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Starters
A named, reusable per-seat starting point. Composes an agent role, startup context, optional native session source, and provenance into something a user or rig can choose when creating, refreshing, or packaging a seat.
"Agent image" is the analogy. Agent Starter is the cleaner product noun. This is NOT a VM image — it is a managed starting point for an agent seat, with provenance you can inspect.
Use this when
- Creating a new seat from a known-good starting context.
- Refreshing a seat with
rig expandandstarter_ref. - Authoring a new starter (registry entry).
- Inspecting an existing starter's provenance, freshness, or recommended status.
- Promoting / deprecating starters in the registry.
- Composing a starter with a Composable Priming Pack (record manifest id/version, runtime, source session id or transcript path, ready-check evidence, freshness state).
Don't use this when
- You want VM-style deterministic state capture. Starters don't capture VM state.
- You want to copy provider auth material into a starter. Starters refer to session sources and context; they do NOT copy credentials.
What makes a starter valuable
A starter is valuable when it is functional — it carries the context the seat needs to do its task well. Functional is the only measure of a good starter. Size is not: a smaller starter is not a better one, and a bigger one is not worse. Whatever it took for the seat to become genuinely capable at its job is the right starter — 80K tokens or 800K.
Capture the seat as it naturally is at a functional, proven point. Don't pad it with context the seat doesn't use, and — just as important — don't strip context out to make it smaller. Size is an outcome of what the seat needed, never a target.
Never compact, summarize, or shrink a seat in order to make or "lean" a starter. There is nothing valuable in "smaller," and compaction is lossy — you would trade away the exact capability the starter exists to preserve. (Compaction is a separate last-resort step for a seat genuinely near its context limit, with its own before/after plan — never part of capturing a starter.)
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.
- 3d ago First seen · 133 lines · 84 tokens per session scan A dd11173ea046
agent-starters is a skill published in the GitHub repository mvschwarz/openrig (64 stars, last pushed 4d ago), licensed Apache-2.0. It adds 84 tokens to every session and 1,440 once invoked, about $0.0004 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.
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