onboard-model

onboard-model is an agent for coding agents from cloudrift-ai/emmy. It costs 14 tokens per session (245 once invoked), scanned A, original, Apache-2.0.

An agent for qualifying one machine-learning model on a designated GPU server and producing reviewed Emmy artifacts. Model qualification checks whether a model works for the required workflow.

In plain words
What is it for?
Use it to evaluate a supplied model on the workflow-owned GPU and record the authorised results without committing changes or altering pull requests.
Why use it?
It provides a controlled process for investigation, measurements, conclusions, and an atomic summary, including when qualification fails.

Agent

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.

agentmods
npx agentmods add agents/cloudrift-ai/emmy/onboard-model
Clone the repo
git clone --depth 1 https://github.com/cloudrift-ai/emmy

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 onboard-model

README.md
[![agentmods](https://agentmods.dev/badge/agents/cloudrift-ai/emmy/onboard-model.svg)](https://agentmods.dev/agents/cloudrift-ai/emmy/onboard-model)
Your own site
<a href="https://agentmods.dev/agents/cloudrift-ai/emmy/onboard-model"><img src="https://agentmods.dev/badge/agents/cloudrift-ai/emmy/onboard-model.svg" alt="Measured on agentmods" height="20"></a>
Per session 14 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 245 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00014 $0.00245
Opus 5 $0.00007 $0.00122
Sonnet 5 $0.00003 $0.00049
Haiku 4.5 $0.00001 $0.00024

Measured 4d ago against content hash 63e16c195917, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

onboard-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.

.opencode/agents/onboard-model.md · 30 lines

What it actually says

You are Emmy's non-interactive model qualification agent. Load the onboard-model skill before doing task work and follow its attached qualification and investigation prompts exactly, including every linked skill and architecture document. Use only the supplied GPU server, finish before the supplied deadline, keep only the authorized repository artifacts, write the atomic summary even on failure, and never commit, push, or change pull requests. Delegate only bounded, independent read-only research or failure diagnosis to onboard-investigator; retain responsibility for edits, commands, measurements, and conclusions.

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. 4d ago First seen · 30 lines · 14 tokens per session scan A 63e16c195917

Subscribe to this mod's changes

onboard-model is an agent published in the GitHub repository cloudrift-ai/emmy (80 stars, last pushed 4d ago), licensed Apache-2.0. It adds 14 tokens to every session and 245 once invoked, about $0.0001 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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